A
20 terms
The middle Zoomer tier — 8–12 missions per week with 85%+ approval rate — balancing flexibility with consistent engagement.
Active tier represents Zoomers who use quiXzoom as a regular supplemental income source. To qualify, a Zoomer must sustain 8+ completed missions per week and maintain an approval rate above 85% over the qualifying window. Active Zoomers access a broader mission pool than Supplementary tier, including most premium mission types and higher-paying specialisation missions. Active tier is the threshold for most specialisation programme eligibility.
In quiXzoom
A part-time Zoomer completes 10 missions/week around their regular job, maintaining a 91% approval rate. At Active tier, they access infrastructure survey missions (€15–20) that are invisible to Supplementary Zoomers, and have applied for the Bridge & Civil specialisation programme.
Automated quality and specification check run on every submission before payment is triggered.
AI review is the first gate a submitted set of photos passes through. The system checks geo-accuracy (is the submission within the mission geofence?), image quality (sharpness, exposure, occlusion), specification compliance (correct angles, required elements present), and EXIF integrity (timestamp within time window, GPS data present and consistent). The result is either an approval — triggering payout — or a rejection with a reason code that the Zoomer can act on.
In quiXzoom
A Zoomer submits 6 photos of a road segment. AI review verifies GPS coordinates match the mission location, timestamp falls within the claimed time window, and all required vantage points are covered — typically completing within 90 seconds of upload.
Anti-Money Laundering — the regulatory framework that requires payment platforms to verify the identity of anyone receiving funds.
AML regulation obliges financial institutions and payment platforms to implement controls that prevent the platform from being used to launder illegally obtained money. In practice, this means platforms like Stripe — which powers quiXzoom's payouts — must verify Zoomer identity (KYC) before processing disbursements. AML requirements vary by jurisdiction but are broadly harmonised across the EU under the Anti-Money Laundering Directives (AMLD).
In quiXzoom
Before a Zoomer can receive their first payout, they must complete KYC. This is not a quiXzoom policy choice — it is a legal obligation on Stripe (our payment provider) under AML regulation. The process is a one-time requirement.
Adaptive Autonomous Multi-Agent Operating System — the AI capability platform that powers Landvex intelligence products.
AMOS is not an AI system. It is an AI Capability Platform — a suite of specialised engines that process observations into structured intelligence. AMOS ingests raw field data from quiXzoom, applies computer vision, pattern recognition, and cross-referencing, and produces outputs: indices, scores, change flags, and predictive signals. AMOS is the analytical layer between reality and decisions. It is developed and sold by Landvex Inc, Houston, TX.
In the ecosystem
quiXzoom collects 12,000 observations of bridge conditions across Sweden. AMOS processes these into an Infrastructure Risk Index — a single score per bridge that maintenance planners can prioritise by.
Detects changes between observations over time.
The AMOS Change Engine compares current observations against historical baselines to identify additions, removals, and modifications. It powers change detection at scale, enabling proactive maintenance and early problem identification. The engine operates across multiple time scales from hours to years.
In Landvex
A property manager receives a quarterly change report showing that 3 buildings have new roof damage, 2 have added unauthorized structures, and 1 has removed safety equipment — all flagged automatically by the Change Engine.
Regulatory control, documentation verification, and compliance checking engine.
AMOS Compliance verifies that assets, processes, and documentation meet regulatory requirements. It checks for required signage, accessibility features, fire safety equipment, and other compliance markers. The engine maintains up-to-date regulatory rule sets for multiple jurisdictions.
In Landvex
A retail chain uses AMOS Compliance to verify that all 200 stores meet accessibility requirements. The engine has flagged 15 stores missing required wheelchair ramps and 8 stores with inadequate emergency lighting.
Creates traceable evidence chains for audit, insurance, and legal proceedings.
The AMOS Evidence Engine maintains an immutable, auditable chain of custody for every observation. It records capture metadata, processing history, analysis results, and access logs in a tamper-evident format suitable for legal admissibility. Evidence packages include cryptographic hashes and timestamps.
In Landvex
An insurance dispute reaches court. The AMOS Evidence Engine produces a complete evidence package showing: when the observation was captured, by which device, with what GPS accuracy, what AI analysis was performed, and who accessed the data — all cryptographically signed.
Skimming detection, manipulated ATM/utility meter detection, and insurance fraud prevention engine.
AMOS Fraud detects fraudulent manipulation of physical devices and systems. It identifies skimming devices on ATMs, tampered utility meters, falsified insurance claims, and other physical fraud vectors. The engine combines visual analysis with pattern matching against known fraud signatures.
In Landvex
A bank receives a quiXzoom observation of an ATM showing a suspicious card reader attachment. AMOS Fraud analyses the image, compares against known skimming device patterns, and flags a high-probability fraud alert within seconds.
Identity verification, document control, liveness detection, and fraud prevention engine.
AMOS Identity verifies that a person is who they claim to be. It processes government-issued IDs, performs liveness checks, and detects document tampering or synthetic identity fraud. The engine is used for KYC processes, access control, and high-trust verification scenarios.
In quiXzoom
A Zoomer completes identity verification by submitting their passport and a selfie. AMOS Identity verifies the document's authenticity and matches the selfie to the ID photo with 99.7% accuracy.
Road, bridge, pole, sign, and property condition monitoring engine.
AMOS Infrastructure monitors the built environment: roads, bridges, utility poles, traffic signs, buildings, and other fixed assets. It detects deterioration, damage, and changes over time, producing condition indices and maintenance prioritisation scores. The engine is the core capability behind Landvex's infrastructure intelligence products.
In Landvex
A municipality receives monthly Infrastructure Condition Index updates for all 400 bridges in their county. AMOS Infrastructure has flagged 12 bridges showing progressive deterioration that requires inspection within 30 days.
General quality control and industrial inspection engine.
AMOS Inspection provides general-purpose quality control and inspection capabilities for industrial applications. It detects manufacturing defects, assembly errors, and quality deviations from specification. The engine is configurable for specific industry standards and can be trained on custom defect libraries.
In Landvex
A manufacturer uses AMOS Inspection to quality-check 10,000 units per day. The engine detects surface scratches, dimensional deviations, and colour mismatches with 99.2% accuracy, reducing manual inspection workload by 80%.
Estimates likely future development based on current observations and historical patterns.
The AMOS Prediction Engine uses historical data, environmental factors, and deterioration models to forecast future asset conditions. It estimates remaining useful life, predicts failure probabilities, and identifies optimal intervention timing. Predictions include confidence intervals and are updated as new observations arrive.
In Landvex
AMOS Prediction Engine forecasts that Bridge 247 will reach critical condition (Index below 40) in 18 months based on current deterioration rate and traffic load. The recommendation: schedule major maintenance within 12 months to avoid emergency closure.
Verifies that an image shows actual reality, not manipulated or synthetic content.
The AMOS Reality Engine detects image manipulation, deepfakes, and synthetic content. It analyses EXIF data, pixel-level artifacts, and lighting consistency to verify that an observation depicts real physical reality. This is critical for legal admissibility and insurance validity.
In the ecosystem
An insurance claim includes photos of storm damage. The AMOS Reality Engine verifies that the images are authentic, unmanipulated, and captured at the claimed location and time — providing the foundation for claims processing.
Converts observations into risk scores and prioritisation rankings.
The AMOS Risk Engine transforms raw observations into actionable risk assessments. It combines condition data, environmental factors, historical failure rates, and consequence analysis to produce risk scores that prioritise maintenance and intervention. Risk scores are normalised and comparable across asset types and geographies.
In Landvex
A county's 400 bridges are ranked by risk score. The top 10 highest-risk bridges (scores above 85) receive immediate inspection orders, while the bottom 200 (scores below 30) are scheduled for routine maintenance.
PPE detection, workplace hazard identification, and risk assessment engine.
AMOS Safety analyses visual data to detect personal protective equipment (PPE) compliance, identify workplace hazards, and assess safety risks. It can detect missing hard hats, unsafe scaffolding, blocked emergency exits, and other safety violations from standard photographs.
In Landvex
A construction site manager receives daily safety observations from quiXzoom. AMOS Safety has flagged 3 instances of missing fall protection and 1 blocked fire exit across 50 observations — enabling immediate corrective action.
Object recognition, anomaly detection, and damage assessment engine.
AMOS Vision is the computer vision engine that identifies objects, detects anomalies, and assesses damage in visual data. It powers infrastructure inspection, property condition monitoring, and safety compliance checking. The engine can detect cracks, corrosion, vegetation encroachment, and other physical defects from standard photographs.
In AMOS
A bridge inspection observation shows surface cracking. AMOS Vision measures crack width, length, and pattern, comparing against historical data to determine if the damage is new or progressive.
The processing tier where raw observations are transformed into structured intelligence by AMOS.
The Analysis Layer sits between the Observation Layer and the Decision Layer. Here, AMOS ingests verified field observations and applies analytical models: object detection, condition scoring, change analysis, pattern recognition, and anomaly detection. The outputs are normalised indices, confidence scores, and contradiction flags. The Analysis Layer is where data becomes insight — where thousands of individual observations are synthesised into coherent, actionable intelligence.
In the ecosystem
A thousand roof observations from across a property portfolio enter the Analysis Layer. AMOS identifies that 8% show hail damage, 2% have gutter degradation, and 90% are unchanged. The Analysis Layer outputs a Property Condition Index with regional breakdowns and recommended inspection priorities.
Application Programming Interface — the programmatic interface through which orderers access mission data, submission results, and platform services.
The quiXzoom API is a REST-style HTTP API that allows orderers to submit mission briefs, monitor mission status, retrieve completed submission packages (images, metadata, GeoJSON), and receive real-time updates via webhooks. Responses are in JSON format. The API uses OAuth 2.0 for authentication and HMAC-SHA256 for webhook signature verification.
In quiXzoom
An insurance company integrates the quiXzoom API into their claims management system. When a claim is filed for a specific address, an API call automatically creates a mission, and approved submission data flows directly back into the claims system without manual intervention.
A positive outcome from AI review, confirming a submission meets all mission requirements and triggering Zoomer payout.
When AI review determines that a submission satisfies all specification, quality, and location requirements for a mission, the submission is marked as Approved. This event is the trigger for payout to the Zoomer and for delivery of the submission package to the orderer. Approval also counts positively toward the Zoomer's approval rate and rating.
In quiXzoom
A Zoomer submits a marina documentation mission. AI review approves the submission within 2 minutes; the Zoomer sees a confirmation in-app and their €12 earnings are queued for the next payout cycle. The orderer receives the submission package via webhook.
The percentage of submitted missions that pass AI review, calculated over a rolling 30-day window.
Approval rate is the primary quality signal on the quiXzoom platform. It is calculated as approved submissions divided by total submissions over the preceding 30 days. A Zoomer's approval rate directly determines their tier eligibility and access to premium and surge missions. Professional tier requires maintaining above 92% approval; Active tier requires above 85%. Zoomers below 70% receive coaching and may be temporarily restricted from claiming new missions.
In quiXzoom
A Zoomer with 38 approvals and 2 rejections out of 40 submissions in the last 30 days has a 95% approval rate. This qualifies them for Professional tier and unlocks access to premium infrastructure missions paying up to €30 per submission.
C
6 terms
The automated identification of differences between current observations and historical baseline data — surfacing what has changed in the physical world.
Change detection is a core AMOS capability that compares new observations against prior data to identify additions, removals, or modifications to physical assets. It powers infrastructure monitoring, property condition tracking, and environmental surveillance. Change detection operates at multiple scales: from pixel-level differences in repeated photographs to structural changes identified through computer vision. Each detected change is scored by confidence and severity, and flagged as a Contradiction when it represents an unexpected deviation.
In quiXzoom
A quarterly observation of a retail park shows three new storefronts and one demolished unit compared to the baseline from six months ago. AMOS change detection automatically flags these modifications, updates the asset registry, and alerts the property manager to verify the changes.
The act of reserving a mission — locking it exclusively for you within a defined time window.
When a Zoomer claims a mission, the mission is removed from the available pool and assigned exclusively to that Zoomer for the duration of the time window. No other Zoomer can claim the same mission while it is held. If the Zoomer does not submit within the time window, the mission is automatically released back to the pool. Frequent abandonment (claiming without submitting) negatively affects a Zoomer's rating and may trigger restrictions.
In quiXzoom
A Zoomer sees a bridge inspection mission 0.8 km away. They tap Claim — the mission is now exclusively theirs for 4 hours. They travel to the location, complete the documentation, and submit. If they don't submit within 4 hours, the mission releases automatically.
A statistical measure of certainty attached to an observation or analysis output, expressed as a percentage.
The Confidence Score quantifies how certain the system is about a specific observation or derived insight. It is computed from multiple signals: EXIF integrity, GPS accuracy, image clarity, cross-validation against historical data, and agreement with other observations of the same asset. A high confidence score (90%+) indicates strong reliability; a low score triggers manual review or additional observation requests. Confidence scores are essential for decision-making — they tell the customer not just what was observed, but how much to trust it.
In quiXzoom
A bridge inspection observation receives a 94% confidence score based on sharp imagery, precise GPS, and consistency with the previous inspection. An insurer uses this high-confidence observation to approve a maintenance claim without sending an engineer.
A mismatch between observed reality and expected or previously recorded reality — a signal that something has changed or requires attention.
A Contradiction is flagged when an observation deviates significantly from the expected state: a building that was intact now shows damage, a road that was clear now has a sinkhole, or an asset that was present is now missing. Contradictions are not errors — they are valuable signals. They trigger alerts, escalate priority, and often indicate the most urgent decisions a customer must make. The Contradiction engine cross-references observations against historical data, design specifications, and regulatory baselines.
In quiXzoom
A quarterly observation of a commercial roof shows new water staining not present in the previous observation. AMOS flags this as a Contradiction, alerting the property manager to schedule repairs before the rainy season — preventing a €50,000 claim.
Descriptive intelligence that tells you the current state of your physical assets — what is, not what to do.
Control Intelligence answers the question: 'What is the current condition of my assets?' It is the foundational layer of insight derived from observations, describing reality as it exists today: which bridges are sound, which buildings have damage, which roads need repair. Control Intelligence is objective, measurable, and verifiable. It is the raw material from which Decision Intelligence is forged — you cannot decide what to do until you know what is.
In quiXzoom
A municipality receives Control Intelligence showing that 12% of its road bridges have surface cracking, 3% have structural concerns, and 85% are in good condition. This descriptive baseline is the starting point for all maintenance and investment decisions.
Comma-Separated Values — a plain-text tabular data format available as a bulk export option for orderers.
CSV exports from quiXzoom contain one row per submission, with columns for mission ID, submission timestamp, GPS coordinates, approval status, Zoomer tier (anonymised), and other metadata fields. CSV is suitable for bulk import into spreadsheet tools, BI platforms, or legacy claims systems that do not support JSON or API integration. CSV exports are available on demand via the orderer dashboard or API.
In quiXzoom
A municipality uses CSV exports to import quiXzoom road survey data into their GIS system on a weekly basis, plotting submission coordinates alongside existing infrastructure records.
D
6 terms
The entity that determines the purposes and means of processing personal data — under GDPR, quiXzoom acts as data controller for Zoomer and orderer data.
Under GDPR, the data controller is the legal entity responsible for deciding why and how personal data is processed. quiXzoom is the data controller for data collected from Zoomers (name, contact details, bank details, submission metadata) and from orderers. As data controller, quiXzoom must maintain a Record of Processing Activities (RoPA), appoint a Data Protection Officer where required, and respond to data subject rights requests within statutory timeframes.
In quiXzoom
When a Zoomer exercises their right to erasure, they submit a request to quiXzoom as data controller. quiXzoom is then legally responsible for erasing the Zoomer's personal data from its systems and instructing its data processors (including the KYC provider and Stripe) to do the same.
An entity that processes personal data on behalf of the data controller, under a Data Processing Agreement (DPA).
Data processors act on the instructions of the data controller and cannot use the data for their own purposes. quiXzoom's data processors include Stripe (payment processing), the KYC provider (identity verification), and cloud infrastructure providers. Each processor relationship must be governed by a Data Processing Agreement that complies with GDPR Article 28, specifying the scope, nature, purpose, and duration of processing.
In quiXzoom
The KYC provider that verifies Zoomer identities is a data processor for quiXzoom. They process identity documents and liveness check data strictly for identity verification purposes, under a DPA — they cannot use that data for their own marketing or analytics.
The geographic location where data is stored — quiXzoom stores all data in the EU (Stockholm, eu-north-1).
Data residency is increasingly important for enterprise customers in regulated industries, who may have legal or policy obligations requiring that data stays within a specific jurisdiction. quiXzoom's infrastructure runs on AWS eu-north-1 (Stockholm), keeping all data within the European Economic Area. This satisfies GDPR third-country transfer restrictions and is a key requirement for public sector and financial services customers.
In quiXzoom
An EU public sector orderer requires that all submission data — including GPS coordinates and images — never leaves the EEA. quiXzoom's Stockholm data residency satisfies this requirement by default, without special configuration.
Actionable recommendations derived from observations through AMOS — the end product of the Landvex ecosystem.
Decision Intelligence is not data. It is not reports. It is the answer to a specific question: Which asset should I repair first? Where should I open my next store? Which claims are fraudulent? Landvex delivers Decision Intelligence by combining quiXzoom observations, AMOS analysis, and domain expertise into structured recommendations that directly enable decisions. Every output includes a confidence score and traceable source data.
In Landvex
A municipality receives a City Health Index of 71 for Norrmalm, down from 78 six months ago. The Decision Intelligence includes: specific deterioration patterns, contributing factors, recommended actions, and confidence intervals. The planner decides which streets to prioritise for maintenance.
The top tier of the ecosystem where structured intelligence is translated into actionable decisions for customers.
The Decision Layer is where Landvex delivers intelligence products to end customers. It takes the indices, scores, and contradictions from the Analysis Layer and contextualises them for specific use cases: prioritising maintenance budgets, assessing insurance risk, evaluating property investments, ensuring regulatory compliance. The Decision Layer is customer-facing — it speaks the language of business, not technology. Every output is designed to answer one question: 'What decision does this help me make?'
In Landvex
A property investor uses the Decision Layer to compare three potential acquisitions. The layer delivers a Neighbourhood Quality Index, Infrastructure Risk Score, and Commercial Opportunity Index for each — enabling a data-driven purchase decision in minutes rather than weeks.
The technical transfer of earned funds from the platform escrow to a Zoomer's linked bank account.
Disbursement is the formal payment term for the outbound transfer of earned mission compensation. In quiXzoom's architecture, approved submission earnings accumulate in a Stripe Connect account (held on behalf of the Zoomer), and disbursements are processed on a rolling basis to the Zoomer's linked IBAN. Disbursements are distinct from the mission approval event — there may be a short settlement window between approval and disbursement depending on Stripe's payout schedule.
In quiXzoom
A Zoomer's mission is approved at 14:00 on a Tuesday. Their earnings are added to their Stripe Connect balance immediately, and the disbursement to their bank account is processed as part of the next scheduled payout run — typically within 1–2 business days.
G
6 terms
General Data Protection Regulation — the EU framework governing how personal data is collected, stored, and processed.
GDPR (Regulation (EU) 2016/679) applies to any organisation processing the personal data of EU residents. For quiXzoom, this covers Zoomer identity data, GPS submission metadata, and orderer contact details. Key obligations include lawful basis for processing, data minimisation, purpose limitation, storage limitation, and honouring data subject rights (access, erasure, portability). All quiXzoom data is stored in EU (Stockholm, eu-north-1) to avoid third-country transfer complications.
In quiXzoom
A Zoomer in Germany requests a copy of all data quiXzoom holds on them (right of access). quiXzoom must respond within 30 days with a machine-readable export of their submission history, identity data, and payment records — all governed by GDPR Article 15.
The closeness of a recorded GPS coordinate to the actual physical position — typically expressed in metres of error radius.
Geo-accuracy is determined by GPS signal quality, which is affected by urban canyon effects, tree canopy, atmospheric conditions, and device hardware. Consumer smartphone GPS typically achieves 3–10 metre accuracy in open conditions. quiXzoom's mission geofences are sized to account for realistic geo-accuracy limits — a mission for a specific building typically uses a 30–50 metre compliance radius. AI review evaluates whether the recorded GPS position is within the mission's accepted tolerance.
In quiXzoom
A Zoomer photographs a bridge in a narrow urban gorge where GPS signals reflect off buildings. Their device records a position 18 metres from the mission pin — within the 30-metre geofence tolerance — so the submission passes the geo-accuracy check.
An image embedded with GPS coordinates at capture time, proving where the photo was physically taken.
Geo-tagging writes latitude, longitude, and altitude data into the image's EXIF metadata at the moment of capture. All quiXzoom submissions must be geo-tagged — this is a technical requirement enforced by the app. Submissions from devices with disabled location services are rejected before upload. Geo-tagging is the foundation of quiXzoom's location verification: without it, there is no way to confirm the photo was taken at the correct mission location.
In quiXzoom
The quiXzoom app requires location permissions to function. When a Zoomer captures a photo in-app, GPS coordinates are written to EXIF automatically. A Zoomer cannot submit photos taken in a regular camera app that disabled geo-tagging — the submission would fail AI review immediately.
A virtual geographic boundary defining where a mission must be completed — submissions outside the geofence are automatically rejected.
A geofence is a digitally defined perimeter around a mission location, typically represented as a circle with a radius of 30–100 metres or as a GeoJSON Polygon for complex shapes. When a Zoomer submits photos, AI review checks the EXIF GPS coordinates against the mission geofence. If the submission was captured outside the geofence, it is rejected with a location mismatch reason. Geofences ensure data integrity by guaranteeing that observations were physically captured at the correct location, preventing fraudulent or mistaken submissions.
In quiXzoom
A bridge inspection mission has a 50-metre radius geofence centred on the bridge coordinates. A Zoomer submits photos from 200 metres away — the GPS coordinates in EXIF fall outside the geofence, and AI review rejects the submission with 'Location mismatch — outside geofence.'
An open standard format (RFC 7946) for encoding geographic data structures using JSON.
GeoJSON is used by quiXzoom to define mission boundaries (geofences), to encode submission GPS paths, and to deliver location data to orderers in a format compatible with GIS platforms, mapping tools, and geographic analysis software. A mission boundary is represented as a GeoJSON Polygon; individual submission GPS points as GeoJSON Point Features with properties including timestamp, approval status, and submission ID.
In quiXzoom
A municipality ordering a road condition survey receives their submission data as a GeoJSON FeatureCollection, which they import directly into QGIS to visualise submission density alongside their road network layer.
Global Positioning System — the satellite-based navigation system used to determine precise geographic location of submissions.
GPS is the primary location technology in smartphones, providing latitude, longitude, and altitude data by triangulating signals from multiple satellites. All quiXzoom submissions depend on GPS for location verification. The system is augmented by network-based location (Wi-Fi and cell triangulation) in environments where satellite signals are weak — combined, these signals provide the geo-accuracy required for mission compliance checks.
In quiXzoom
Every time a Zoomer captures a photo for a mission, the device GPS is sampled. This fix — along with the capture timestamp — is embedded in EXIF and used by AI review to verify the submission was made at the correct location within the correct time window.
M
4 terms
A paid photography assignment with a defined location, scope, and compensation, published by an orderer and claimed by a Zoomer.
A mission is the fundamental unit of work on the quiXzoom platform. Each mission has a geographic pin or geofence, a compensation amount, a mission brief (describing what to photograph and how), a time window within which the work must be completed, and a submission specification defining how many photos are required and from which vantage points. Missions may be standard, premium, or surge, and may be single-submission or multi-submission.
In quiXzoom
An insurance company creates a mission to document storm damage at a specific address. The mission has a 200-metre geofence, requires 8 photos from specified angles, pays €14, and has a 6-hour time window from claim. A nearby Zoomer sees it in the app, claims it, and completes the documentation.
The complete specification for a mission — what to capture, how to capture it, quality requirements, and any special instructions.
A mission brief is shown to the Zoomer after they claim a mission, and is the primary guide for execution. It includes required shot angles, distance from subject, lighting conditions (if relevant), specific elements that must appear in frame, and any contextual notes from the orderer. Mission briefs for specialised mission types (bridge inspection, maritime, infrastructure) include more detailed technical requirements. Zoomers should read the brief carefully before travelling to the mission location.
In quiXzoom
A bridge inspection mission brief specifies: 1 overview shot from 50m, 2 deck surface shots, 1 expansion joint close-up, 1 bearing detail, and 1 drainage outlet — all from public access points only. A Zoomer who misses the bearing detail shot is likely to receive a rejection at AI review.
The number of active missions available per geographic area — a key factor in a Zoomer's earning potential by location.
Mission density varies significantly between urban and rural areas, between regions, and over time. High mission density zones (dense urban areas, coastal regions with infrastructure) allow Zoomers to complete more missions per hour of activity — increasing hourly earnings. Mission density is influenced by orderer activity in the area and by platform growth. Zoomers can view mission density maps to understand the earning environment in different zones before setting their zone preferences.
In quiXzoom
Stockholm's inner city shows 23 active missions within a 5km radius. A nearby suburb shows 3. A Zoomer choosing their zone setting can use mission density data to maximise their available mission volume per session.
A mission type where multiple Zoomers can submit, with compensation decreasing for each successive approved submission.
Multi-submission missions are used by orderers who want several independent documentation sets of the same location — typically for comparison, validation, or higher confidence. The first Zoomer to submit receives the highest compensation; subsequent approved submissions receive progressively lower amounts. The orderer sets the maximum number of submissions they will accept and the compensation schedule. Multi-submission missions remain claimable by additional Zoomers until the orderer's submission limit is reached.
In quiXzoom
An orderer creates a multi-submission mission for a flood-affected road segment, accepting 3 submissions at €18 / €12 / €8. Three different Zoomers claim and submit independently — the orderer receives three distinct photographic records of the same location, useful for triangulating damage assessment.
O
6 terms
Open Authorization — the industry-standard protocol used by quiXzoom's API for secure, delegated authentication.
OAuth 2.0 allows orderers to authenticate API requests without sharing credentials. Orderers obtain access tokens through the OAuth flow, which are then included in API request headers. Tokens can be scoped (read-only, write, full access) and have configurable expiry periods. OAuth 2.0 is also used for third-party integrations — for example, allowing an orderer's claims management platform to connect to quiXzoom on behalf of their organisation.
In quiXzoom
An insurance company's IT team sets up an OAuth 2.0 client in the quiXzoom orderer portal, receives client credentials, and uses these to generate short-lived access tokens for their claims integration server. Tokens expire after 1 hour and are automatically refreshed.
A verified field record captured through quiXzoom — the fundamental unit of reality data.
An observation is not a photo. It is a structured, verified record of physical reality at a specific place and time. Every observation includes: geolocation (GPS coordinates with accuracy estimate), timestamp (when it was captured), media (images or video), and metadata (device, conditions, mission context). Observations are quality-checked by AI before entering the dataset. They are the raw material from which all Landvex intelligence is derived.
In quiXzoom
A Zoomer captures 6 images of a road segment. Each image becomes part of an observation that includes GPS, timestamp, and mission context. AI review verifies the observation before it enters the dataset.
The field data collection tier where Zoomers capture verified observations of physical assets and infrastructure.
The Observation Layer is the foundation of the ecosystem — the interface between physical reality and digital intelligence. It encompasses the quiXzoom mobile app, Zoomer network, mission management system, and AI review pipeline. Its purpose is to produce high-quality, trustworthy observations at scale. The Observation Layer guarantees data integrity through geo-tagging, timestamp verification, and automated quality checks. Without a robust Observation Layer, everything above it — analysis, indices, decisions — is built on sand.
In quiXzoom
The Observation Layer deploys 500 Zoomers across a metropolitan area to capture quarterly building condition observations. Each observation is verified for GPS accuracy, image quality, and specification compliance before entering the Analysis Layer.
The standardised set of instructions defining what to capture, from which angles, and under what conditions for a given mission type.
The observation protocol is the rulebook for field data collection. It specifies the number of photos required, the vantage points (distance, angle, height), the elements that must be in frame, lighting conditions, and any safety or access constraints. Protocols are mission-type specific: a bridge inspection protocol differs from a property documentation protocol. Following the protocol is essential for approval — AI review checks compliance against the protocol, and deviations result in rejection. Protocols are developed by domain experts and refined through feedback from AI review outcomes.
In quiXzoom
A roof condition mission protocol requires: 1 overview shot from street level, 1 ridge-line photo, 2 slope photos (one per side), and 1 detail of any visible damage — all captured during daylight with the sun behind the photographer. A Zoomer who submits only 3 photos or captures at night will fail protocol compliance.
An organisation that creates and funds missions on the quiXzoom platform to obtain field documentation.
Orderers are the demand side of the quiXzoom marketplace. They can be insurance companies, infrastructure asset owners, public sector bodies, logistics operators, or any organisation with a need for verified on-location photography. Orderers define mission briefs, set compensation, and receive approved submissions via the dashboard or API. Orderers pay the Zoomer compensation plus a platform fee to quiXzoom.
In quiXzoom
A Swedish infrastructure authority uses quiXzoom as orderer — creating 50 bridge inspection missions across a county, specifying technical requirements in each mission brief, and receiving standardised submission packages via API integration with their asset management system.
The internal platform architecture that powers quiXzoom, AAMOS, and Landvex — a self-referential system where the platform monitors and improves itself.
Ouroboros is the internal name for the technical architecture that underpins the entire Landvex ecosystem. It encompasses the microservices, data pipelines, AI models, and infrastructure that enable quiXzoom field data collection, AMOS analysis, and Landvex intelligence delivery. The name reflects the system's self-monitoring nature: observations feed analysis, analysis drives decisions, decisions generate new observations. Ouroboros is not a customer-facing product — it is the technical foundation.
In the ecosystem
quiXzoom runs as an Ouroboros instance — using the same core infrastructure as other Landvex products but configured for the quiXzoom marketplace model. Ouroboros handles user management, mission orchestration, AI review, and data pipelines.
P
5 terms
The transfer of earned mission compensation to a Zoomer's linked bank account, triggered automatically by submission approval.
Payouts are processed via Stripe Connect and deposited to the Zoomer's linked IBAN. Earnings from approved submissions accumulate in the Zoomer's Stripe Connect balance and are disbursed on a rolling schedule. Payout frequency and minimum threshold are configurable within the app. Payouts require completed identity verification (KYC) and a linked bank account. Zoomers receive an in-app notification and email confirmation for each payout.
In quiXzoom
A Zoomer completes 5 missions in a week, earning €72 total. After each approval, earnings add to their Stripe Connect balance. On Friday, their accumulated balance is disbursed to their Dutch IBAN via SEPA — arriving as a single bank transfer with a quiXzoom reference.
Personally Identifiable Information — any data that can directly or indirectly identify a specific individual.
PII encompasses obvious identifiers (name, email, address, IBAN) as well as indirect identifiers that, in combination, could identify someone (GPS traces, device fingerprints, submission patterns). Under GDPR, quiXzoom treats PII with strict controls: it is collected only where necessary, retained only as long as required, and never shared with orderers in identifiable form. Zoomer submissions are delivered to orderers without attached Zoomer identity — orderers receive field data, not person data.
In quiXzoom
When an orderer receives a completed submission, they see the images, GPS coordinates, and timestamp — but not the Zoomer's name, account details, or any identifying information. The Zoomer's identity is pseudonymised in normal operation, with full identification available only under legal process.
The service fee paid by orderers to quiXzoom on top of Zoomer compensation, covering platform operations and AI review.
The platform fee is charged to the orderer and covers quiXzoom's infrastructure, AI review system, Zoomer management, customer support, and margin. Zoomers receive their full stated mission compensation — the platform fee is paid by the orderer separately and does not come from Zoomer earnings. Platform fees are calculated as a percentage of mission compensation, with enterprise volume pricing available for high-volume orderers.
In quiXzoom
An orderer creates a mission paying the Zoomer €12. quiXzoom's platform fee adds an additional amount on top — the orderer pays the total; the Zoomer receives exactly €12 upon approval. The platform fee structure is transparent and set out in the orderer's service agreement.
A high-threshold mission type requiring specific Zoomer qualifications and a high approval rate, offering significantly elevated compensation.
Premium missions are reserved for experienced, high-performing Zoomers. Qualification requires Professional tier (or Active tier with relevant specialisation) and an approval rate above 92%. These missions typically involve technical infrastructure documentation — bridges, power facilities, maritime assets — with precise specification requirements. Compensation for premium missions reflects both the technical difficulty and the high-value use cases they serve, typically ranging from €20 to €40+ per submission.
In quiXzoom
A bridge inspection premium mission paying €28 appears for a Zoomer with a Maritime specialisation and 96% approval rate. Zoomers without Professional tier or the relevant specialisation do not see this mission in their feed — it is filtered to qualified Zoomers only.
The highest Zoomer tier — 15+ missions per week, 92%+ approval rate — granting access to all mission types including premium and unrestricted surge.
Professional tier represents quiXzoom's most engaged and highest-quality Zoomers. Qualification requires sustaining 15+ completed missions per week over the qualifying window, maintaining an approval rate above 92%, and having completed identity verification. Professional tier Zoomers receive priority access to new mission types, higher compensation caps, dedicated support, and early access to specialisation programmes. They form the backbone of supply for high-value, time-critical orderer requests.
In quiXzoom
A full-time quiXzoom contributor averaging 20 missions/week with a 97% approval rate holds Professional tier. They access premium infrastructure missions paying €25–40, receive surge alerts first, and have the option to take on specialisation certifications for maritime and bridge inspection mission types.
Q
5 terms
A composite rating of an observation's technical fitness — sharpness, exposure, framing, and protocol compliance — distinct from the confidence score.
The Quality Score evaluates the technical and aesthetic properties of submitted media independent of location or metadata verification. It measures image sharpness (absence of motion blur or focus issues), exposure (neither under- nor over-exposed), framing (subject completeness and composition), and protocol compliance (correct angles, required elements visible). Quality Score is a component of the overall Confidence Score but is computed separately to give orderers visibility into the technical standard of their data. Low quality scores trigger coaching for Zoomers and may result in rejection if minimum thresholds are not met.
In quiXzoom
A Zoomer submits photos that are correctly geo-located and within the time window, but two images are slightly blurry due to camera shake. AI review assigns a Quality Score of 62 — below the 75-point threshold — and rejects the submission with 'Image quality: motion blur detected.' The Zoomer receives automated coaching on stabilisation techniques.
Global field data collection platform — 'Uber fast för foton'.
quiXzoom is a standalone product and business with its own brand, separate from AAMOS. It is a marketplace where anyone can take photo missions and earn money. Orderers post missions; Zoomers (anyone) complete them and get paid. quiXzoom uses AAMOS infrastructure under the hood but is never presented as 'AAMOS'. The platform provides verified, geotagged, timestamped field observations on demand.
In quiXzoom
A municipality needs photos of 50 road segments after a storm. They post missions on quiXzoom. Within 2 hours, local Zoomers have claimed all missions, captured the required photos, and submitted for AI review. The municipality receives verified observations with GPS and timestamps.
Standalone authentication product sold via AAMOS — includes Auth Foundation, KYZ Engine, Company Registry, and Payout Engine.
quiXzoom Auth Core is a standalone authentication and identity product that can be integrated into any application. It includes: Auth Foundation (email/Google + phone + password), KYZ Engine (Know Your Zoomer — identity verification), Company Registry (sole proprietorship / registered company), and Payout Engine (Stripe Connect, Frilans Finans, bank transfers). Auth Core is sold as a product via AAMOS and is used by quiXzoom and other Landvex products.
In the ecosystem
A third-party app developer integrates quiXzoom Auth Core to handle user authentication, identity verification, and payouts — without building these complex systems themselves.
Payout product for freelancers without a company — handles taxes and fees across 8 markets.
quiXzoom Frilans Payout is a payout product designed for freelancers who don't have a registered company. It operates across 8 markets (SE, NO, DK, FI, DE, NL, US, GB) and automatically handles source tax per country. Features include weekly/monthly payouts, 15% platform fee + 6% processing fee, and automatic tax reporting. The product integrates with quiXzoom Auth Core and uses the Payout Engine.
In quiXzoom
A freelancer in Sweden uses quiXzoom Frilans Payout to receive payments without registering a company. The system automatically deducts source tax and pays it to Skatteverket, while the freelancer receives their net earnings weekly.
quiXzoom internal token — 1 QZ = 1 USD, used for platform transactions and rewards.
The QZ Token is quiXzoom's internal transaction token with a fixed exchange rate of 1 QZ = 1 USD. It is not a speculative cryptocurrency — it is a simple ledger entry used for platform transactions, rewards, and internal accounting. QZ Tokens are created when missions are approved and stored in Zoomer accounts. They can be converted to USD payouts or used for platform services.
In quiXzoom
A Zoomer earns 50 QZ from completed missions. They can convert these to $50 USD payout or use them to purchase premium features on the platform.
R
6 terms
A Zoomer's accumulated quality score on the platform, reflecting submission quality, consistency, and reliability over time.
Rating is a composite metric calculated from approval rate, submission volume, claim-to-completion ratio (how often claimed missions are actually submitted), and any policy violations. Rating is displayed as a numerical score and determines mission access filtering — high-rating Zoomers see more mission types, receive surge notifications earlier, and are prioritised for specialisation programme invitations. Unlike approval rate (a rolling 30-day window), rating incorporates a Zoomer's full history, weighted toward recent activity.
In quiXzoom
A Zoomer with a 94% approval rate but a poor claim-to-completion ratio (often claiming missions and abandoning them) will have a rating lower than their approval rate alone would suggest. Improving claim reliability raises their rating independently of approval rate.
The physical world itself — the assets, infrastructure, and environments that the ecosystem observes, analyses, and optimises.
The Reality Layer is everything physical: roads, bridges, buildings, coastlines, forests, power lines, water pipes. It is the domain that exists independently of any observation system — the ground truth that the ecosystem seeks to understand and improve. The Reality Layer is not digital; it is the actual world that customers own, manage, insure, and invest in. Every observation is a measurement of the Reality Layer; every index is a summary of its state; every decision is an intervention upon it.
In the ecosystem
A city's Reality Layer comprises 1,200 km of roads, 400 bridges, 50 tunnels, and 2,000 public buildings. The ecosystem's purpose is to create a complete, accurate, up-to-date digital understanding of this Reality Layer — enabling better decisions about maintenance, investment, and risk.
A measurable, verifiable observation that describes a specific aspect of the physical world.
A Reality Signal is any observation that carries information about the state of physical reality: a photo of a cracked bridge deck, a GPS-tagged image of flood damage, a timestamped record of a building's facade. Reality Signals are the raw inputs to the Analysis Layer. They are distinguished from synthetic or inferred data by their direct connection to physical measurement — a Zoomer was there, the camera captured light from the actual scene, the GPS recorded the actual coordinates. Reality Signals are the antidote to assumptions and desk-based estimates.
In quiXzoom
An insurer receives a Reality Signal showing hail damage to a factory roof — captured 6 hours after the storm, with GPS confirming the location, timestamp proving immediacy, and image quality enabling damage severity assessment. This Reality Signal replaces the traditional adjuster visit.
A negative outcome from AI review, indicating a submission does not meet mission requirements — no payout is issued for rejected submissions.
Rejections occur when AI review identifies one or more disqualifying issues: location mismatch (GPS outside geofence), timestamp violation (submitted outside time window), image quality failure (blurred, overexposed, or heavily occluded), specification miss (required element absent), or EXIF anomaly (GPS data absent or inconsistent). Every rejection includes a specific reason code that the Zoomer can view in-app. Zoomers can review rejection reasons to understand and correct issues on future missions.
In quiXzoom
A Zoomer submits 6 photos but one required angle (the drainage outlet) is missing. AI review flags a specification miss and rejects the submission with reason code SPEC_INCOMPLETE. The Zoomer's approval rate decreases by one event, and no payout is issued for this submission.
Landvex's coding pipeline for automated software development, testing, and deployment.
REXO is Landvex's internal coding pipeline that automates software development tasks. It runs via /opt/amos/rexo-build/, with tasks defined in plan/PLAN.json and executed by parallel workers. REXO orchestrates code generation, testing, and deployment across the ecosystem. All coding tasks should be routed through REXO rather than manual file uploads or direct server modifications.
In Landvex
When a new feature is needed for the quiXzoom API, the task is added to REXO's PLAN.json. REXO workers generate the code, run tests, and deploy to staging — all without manual intervention.
A GDPR right allowing individuals to request deletion of their personal data from a platform's systems.
Under GDPR Article 17, individuals have the right to request erasure of their personal data when it is no longer necessary for the purpose it was collected, when they withdraw consent, or when they object to processing. For quiXzoom, this means Zoomers can request deletion of their account and all associated personal data at any time via the app settings. Certain data may need to be retained for limited periods to satisfy legal obligations (e.g. financial records under tax law) even after an erasure request.
In quiXzoom
A Zoomer decides to stop using quiXzoom and requests erasure. quiXzoom deletes their profile, contact data, and GPS history. Some financial transaction records are retained for 7 years as required by EU accounting regulation — this is disclosed in quiXzoom's privacy policy and does not affect the Zoomer's ability to stop using the platform.
S
10 terms
Amazon Simple Storage Service — the object storage platform used to store all quiXzoom submission images, securely and at scale.
S3 (AWS eu-north-1) is quiXzoom's primary file store for submission images. Uploaded images are stored with server-side encryption, access is controlled via IAM policies, and orderers receive time-limited signed URLs to retrieve submission packages — images are never publicly accessible by default. S3's durability (99.999999999%) and scalability make it appropriate for a platform expecting high submission volumes during surge events.
In quiXzoom
When a Zoomer uploads 6 photos for a mission, they are stored in S3 eu-north-1. When the orderer queries the API for the completed submission, they receive signed URLs valid for 24 hours to download the images — after which the URLs expire and a new API call is required.
Single Euro Payments Area — the European bank transfer network used for EUR payout disbursements to Zoomers.
SEPA covers 36 European countries and enables fast, low-cost euro bank transfers using IBAN identifiers. SEPA Credit Transfers (SCT) typically settle within 1 business day; SEPA Instant Credit Transfers (SCT Inst) settle in under 10 seconds where supported. quiXzoom uses Stripe Connect's SEPA infrastructure for EUR disbursements to Zoomers in SEPA-member countries. For Zoomers in countries outside SEPA, SWIFT transfers apply, which may have longer settlement windows and additional fees.
In quiXzoom
A Zoomer in Finland has earned €85 across 7 missions. Stripe Connect initiates a SEPA Credit Transfer to their Finnish IBAN — the funds arrive in their bank account within 1 business day at no charge to the Zoomer.
Service Level Agreement — the delivery timeline and quality commitments quiXzoom makes to orderers, governing mission fulfilment and submission delivery.
quiXzoom's SLAs define expected fulfilment times (how quickly a claimed mission produces an approved submission), platform uptime commitments, API response time guarantees, and escalation procedures when commitments are not met. SLA terms vary by orderer plan — standard, professional, and enterprise tiers have different guaranteed fulfilment windows. SLA performance is monitored and reported monthly to orderers, with service credits applicable in cases of sustained underperformance.
In quiXzoom
An enterprise orderer's SLA guarantees that 95% of urban missions will produce an approved submission within 4 hours of activation. For surge missions, the SLA commits to a first claim within 30 minutes. These commitments are monitored in real time and reported in the orderer's monthly performance report.
A certified competency that unlocks access to specific advanced mission types requiring domain-specific knowledge or technical skill.
Specialisations are earned through a training and assessment programme administered within the quiXzoom app. Each specialisation covers the technical requirements, safety considerations, and documentation standards for a specific mission domain. Available specialisations include Maritime (marina and harbour documentation), Bridge & Civil (infrastructure inspection), Energy Infrastructure (substations, wind turbines), and Retail Audit. Completing a specialisation assessment unlocks the corresponding premium mission category in the Zoomer's feed.
In quiXzoom
A Zoomer living near a large marina completes the Maritime specialisation — a 45-minute in-app training covering mooring documentation, vessel identification standards, and marina facility photography requirements. They now see maritime premium missions paying €20–35 in their area, which are invisible to non-specialised Zoomers.
A global payments platform — quiXzoom's underlying payment infrastructure provider for all Zoomer payouts and orderer billing.
Stripe is a regulated payment institution used by millions of platforms worldwide. quiXzoom uses two Stripe products: Stripe Payments for orderer billing, and Stripe Connect for Zoomer payout disbursements. Stripe holds regulatory authorisations across the US, EU, and other jurisdictions, which is why AML/KYC compliance requirements flow through Stripe Connect's onboarding process. Stripe's infrastructure provides the payment settlement, fraud detection, and payout mechanics that quiXzoom's marketplace depends on.
In quiXzoom
When a Zoomer adds their bank account in the quiXzoom app, they are creating a Stripe Connect account under quiXzoom's platform. Stripe is the regulated entity that actually moves money from quiXzoom's orderer receipts to Zoomer IBANs — quiXzoom orchestrates the process but Stripe executes the regulated payment flows.
Stripe's multi-party payment product that enables quiXzoom to distribute earned mission compensation directly to individual Zoomer bank accounts.
Stripe Connect is designed specifically for marketplace and platform models where a platform collects money from one party (orderers) and distributes it to another (Zoomers). It handles the regulated aspects of marketplace payments: identity verification (KYC), payout scheduling, tax form collection (where required), currency conversion, and compliance with local financial regulations. Each Zoomer has a Stripe Connect account created during onboarding, linked to their verified bank account.
In quiXzoom
During onboarding, a Zoomer completes a Stripe Connect flow: they enter their name, date of birth, address, and IBAN, and complete identity verification. From this point, every approved submission triggers an automatic credit to their Stripe Connect balance, which disburses to their bank account on the configured schedule.
A completed set of photos uploaded by a Zoomer after executing a mission, submitted for AI review and potential payout.
A submission is the output of a claimed and completed mission. It consists of the required number of geo-tagged images, their EXIF metadata, a GPS trace (if required), and any optional notes from the Zoomer. Submissions are uploaded through the quiXzoom app and enter the AI review pipeline immediately. The submission event locks the mission as completed — a Zoomer cannot resubmit after an initial submission without contacting support. Submission quality directly impacts approval rate and rating.
In quiXzoom
A Zoomer completes a 6-photo road condition survey and taps Submit. The submission package (images, EXIF, GPS trace) is uploaded to S3 and enters AI review. Within 90 seconds, the Zoomer receives an in-app approval notification and their €10 earnings are queued for payout.
The entry-level Zoomer tier — 2–4 missions per week — for contributors using quiXzoom as occasional supplemental income.
Supplementary tier is the starting tier for all new Zoomers. It provides access to standard missions in the Zoomer's zone, with no minimum weekly commitment. Supplementary Zoomers earn the standard mission rates and can access surge missions in their area. To progress to Active tier, a Zoomer must demonstrate sustained volume (8+ missions/week) and maintain an approval rate above 85% over a qualifying period.
In quiXzoom
A gig worker uses quiXzoom alongside their other activities — completing 3 missions per week in their neighbourhood while walking their dog or commuting. At Supplementary tier, they access standard missions with no pressure to increase volume; their €30–40/week in earnings is a useful addition to their income mix.
High-urgency missions deployed after acute events — storms, floods, accidents — offering 2–5× standard compensation for rapid on-site documentation.
Surge missions are created by orderers (typically insurers or infrastructure managers) in response to time-critical events requiring rapid field documentation. They carry elevated compensation to incentivise Zoomers to prioritise them and accept shorter time windows. Surge alerts are pushed as priority notifications to all Zoomers in the affected zone, with Professional tier Zoomers notified first. Surge missions typically have tighter specification requirements and stricter AI review thresholds given their legal and claims significance.
In quiXzoom
A severe storm hits coastal Sweden. An insurer activates 40 surge missions across 12 postcodes within 20 minutes of the event. Zoomers in those zones receive priority push notifications — the missions pay €35 each (vs. €12 standard) with a 3-hour time window. 38 of 40 missions are claimed within 45 minutes.
Society for Worldwide Interbank Financial Telecommunication / Bank Identifier Code — used for international bank transfers outside the SEPA zone.
SWIFT (the network) and BIC (the identifier standard) together enable international bank-to-bank transfers for currencies and countries outside SEPA. Zoomers in non-SEPA countries (e.g. the UK post-Brexit for GBP, or non-EU markets quiXzoom may expand to) require a SWIFT/BIC code in addition to their account number for payout setup. SWIFT transfers typically settle in 1–5 business days and may incur intermediary bank fees — terms disclosed to Zoomers during onboarding.
In quiXzoom
A Zoomer in Norway (SEPA member) uses IBAN/SEPA for payouts. A Zoomer in the UK (non-SEPA) provides their IBAN and SWIFT/BIC during onboarding — Stripe Connect routes their payout via SWIFT, with a 2–3 business day settlement window.