Predictive Spatial Modelling
ML models that incorporate geographic variables such as proximity, density, spatial lag, and H3 binning to produce predictions no standard model can match.
What We Build
Six Deep Capabilities.
One Integrated Team.
We do not hand work off between departments. The same engineers who design your spatial architecture also train your models and ship your pipelines, because coherent systems require coherent teams.
01 / 06Geo-AI Fusion
Flagship Capability
Geo-AI Fusion
Where Most Teams Can't Follow
The discipline where AI and geospatial intelligence are built as one system, not bolted together. This is the capability that separates Infryne from conventional data or GIS firms.
Geo-Object Detection
Computer vision trained on satellite and UAV imagery to detect and classify objects, structures, and land cover at scale.
Spatial Change Detection
Automated monitoring of satellite time-series for deforestation, urban expansion, disaster damage assessment, or infrastructure change with alerting pipelines built in.
Smart City Intelligence Platforms
Real-time urban data fusion surfaced through geo-AI dashboards and decision-support systems for traffic, sensors, environment, and utilities.
Location-Aware Anomaly Detection
Identify spatial outliers in utility networks, logistics routes, or agricultural fields. Systems that flag the where of the problem, not just the what.
02 / 06Custom AI & ML
Artificial Intelligence
Custom AI & ML
Built for Your Domain
Not adapted from a generic template. We build models tuned to your data, your domain constraints, and your definition of accuracy, then deploy them into production environments that hold up.
Supervised & Unsupervised Learning
Classification, regression, clustering, and purpose-built models trained on labeled or unlabeled datasets across tabular, spatial, and time-series formats.
Natural Language Processing
Document classification, entity extraction, semantic search, and LLM-powered workflows fine-tuned on domain-specific corpora when off-the-shelf models fall short.
Computer Vision
Image classification, object detection, and semantic segmentation applied to satellite imagery, drone footage, infrastructure inspection, and agricultural monitoring.
Time-Series Forecasting
Demand forecasting, anomaly detection, and predictive maintenance for utility networks, logistics systems, and environmental sensors at scale and in real time.
MLOps & Model Deployment
From notebook to production: containerized model serving, automated retraining pipelines, monitoring dashboards, and CI/CD for ML models that need to stay accurate over time.
03 / 06Satellite & UAV Intelligence
Remote Sensing
Satellite & UAV Intelligence
From Pixel to Decision
Raw imagery tells you what is there. Our remote sensing pipelines tell you what changed, when it changed, and what that means, with automated alerting built into every workflow.
Multispectral & Hyperspectral Analysis
Processing Sentinel-2, Landsat, Planet, and commercial imagery to extract spectral indices tuned to your specific detection task.
Crop Monitoring & Yield Prediction
Time-series vegetation analysis, phenology tracking, and ML-powered yield forecasting across farm parcels, integrated with weather and soil data.
UAV Data Processing
Photogrammetry, orthomosaic generation, LiDAR point cloud processing, and volumetric analysis from drone flights to actionable maps.
Environmental & Disaster Monitoring
Flood mapping, wildfire perimeter tracking, land degradation monitoring, and disaster damage assessment with before/after analysis and rapid-response pipelines.
Urban & Land Use Classification
Automated land cover mapping for urban sprawl, impervious surface detection, and green space monitoring using supervised ML on multitemporal imagery stacks.
04 / 06Analytics That Drive
Data Analytics & BI
Analytics That Drive
Decisions, Not Just Reports
We do not build dashboards for dashboards' sake. Every analytics engagement is scoped around the decisions your team needs to make and the data that actually enables those decisions.
Advanced Analytics & Statistical Modelling
Regression analysis, hypothesis testing, cohort analysis, and causal inference that turn noisy organizational data into evidence your team can act on.
Predictive Analytics & Forecasting
Demand forecasting, churn prediction, capacity planning, and scenario modelling built to be interpretable by decision-makers, not just data scientists.
Spatial BI & Geo-Dashboards
Interactive spatial dashboards that layer business KPIs onto geographic context so operations, planning, and executive teams can see what the numbers mean on the ground.
KPI Design & Reporting Frameworks
Define the right metrics, build the right reporting cadence, and automate delivery so your team spends time acting on insights, not generating them manually.
Data Cleaning & Feature Engineering
Systematic data quality assessment, cleaning pipelines, and feature engineering that ensures your analytics are built on a foundation that holds up.
05 / 06Pipelines That Scale
Data Engineering
Pipelines That Scale
Without Breaking
Most data pipelines look fine at low volume and collapse when it matters. We build infrastructure designed for growth from day one, cloud-native, observable, and built with the team who will maintain it in mind.
Cloud Data Architecture
Data lake and warehouse design on AWS, GCP, or Azure structured for the analytics and ML workloads sitting above it.
Real-Time Streaming
Kafka and Flink pipelines for high-frequency event data with spatial joins and alerting built into the flow.
ETL / ELT Pipeline Development
Batch and streaming extraction, transformation, and loading with dbt for transformation logic that is tested, version-controlled, and readable by humans.
Spatial Data Infrastructure
PostGIS database design, spatial indexing strategy, and geodata API development for enterprise-scale geospatial applications.
API & Integration Development
REST and GraphQL APIs, third-party integrations, and webhook systems that connect your data stack to the tools your team already uses.
06 / 06GIS Engineering
GIS Development & Spatial Analysis
GIS Engineering
From Geodatabase to Live Web Map
We do not just analyse spatial data — we build the systems it lives in. Custom web GIS applications, spatial APIs, geodatabases, geoprocessing automation, and field data workflows: designed and engineered by a team that understands geometry, topology, and projections at the core, not as an afterthought.
Web GIS Application Development
Interactive spatial web apps using Mapbox GL, MapLibre, Leaflet, or Deck.gl — from field data collection tools to executive geo-intelligence dashboards — designed for real operational adoption.
Geodatabase Architecture
PostGIS schema design, spatial indexing, topology rules, and data modeling for complex feature hierarchies built to serve high query loads and multi-user editing.
Spatial Analysis & Geoprocessing
Site suitability, network routing, catchment delineation, viewshed modelling, spatial interpolation, and terrain analysis — automated, reproducible, and documented with full parameter justification.
Spatial API Development
REST and tile APIs for geospatial data — MVT vector tiles, COG rasters, spatial search, and geometry operations — optimized for web performance and built to be consumed by any client.
GIS Migration & Modernisation
Migration from legacy desktop GIS workflows and proprietary geodatabases to modern cloud-native spatial stacks — with full data integrity validation, rollback planning, and non-GIS user access built in.
// Why Infryne
What You Get That
Other Firms Do Not Offer
Capability
Typical Data / GIS Firm
Infryne TechWorks
AI + GIS as one integrated system
✗ Siloed teams, bolt-on GIS
✓ Native fusion methodology
Production-grade delivery, not just PoC
✗ Often demo-ready only
✓ Deployed, monitored, documented
Spatial context in every ML model
✗ Geographic variables ignored
✓ Spatial features by default
Limited client load for deep focus
✗ High-volume, thin coverage
✓ Capped engagements per quarter
End-to-end ownership from data to insight
✗ Handoffs between vendors
✓ One team, full stack
First response from an engineer
✗ Sales team to account manager
✓ Engineer on first call
// Productized engagements
Know What You’re Buying Before the Call
Each offer has a defined buying threshold, client inputs, deliverables, and support boundary. Final scope depends on data access, security, and integration complexity.
Fixed-scope validation
GeoAI Discovery Sprint
- Duration
- 2 weeks
- Investment
- From $6,000
- Minimum engagement
- One decision-ready use case
Best for
Teams with an executive sponsor and a real spatial decision to validate before funding a build.
You bring
A representative data sample, data dictionary or source notes, and access to one domain owner.
Concrete deliverables
- →Data feasibility and quality review
- →Use-case success metrics and risk register
- →Architecture blueprint
- →Phased delivery plan and fixed-range estimate
Support: One readout workshop plus 10 business days of follow-up questions.
Production implementation
GeoAI Full Delivery
- Duration
- 10–20 weeks
- Investment
- From $35,000
- Minimum engagement
- Discovery completed or equivalent technical brief
Best for
Growth-stage, mid-market, enterprise, or public-sector teams with a named product owner and deployment path.
You bring
Approved data access, a technical stakeholder, target users, and availability for weekly sprint reviews.
Concrete deliverables
- →Solution architecture and production build
- →Tested data and model pipelines
- →Deployment, observability, and runbooks
- →Documentation, training, and acceptance testing
Support: 30-day post-launch warranty, handover training, and an optional support SLA.
Embedded specialist capacity
GeoAI Delivery Retainer
- Duration
- 3-month minimum
- Investment
- From $9,000/month
- Minimum engagement
- A live system or prioritized delivery backlog
Best for
Established product, data, GIS, or innovation teams that need recurring GeoAI capability without a full-time hire.
You bring
A backlog owner, access to the working environment, and a monthly planning and review cadence.
Concrete deliverables
- →Reserved engineering capacity
- →Monthly roadmap and shipped increments
- →Monitoring, optimization, and incident support
- →Architecture and product advisory
Support: Priority response during agreed business hours; 24/7 coverage is scoped separately.
A strong fit
You have a named business owner, a decision or workflow worth improving, representative data, and a route to production.
Not a strong fit
Staff augmentation, speculative ideas with no owner or data, one-off map styling, and projects seeking an unpaid proof of concept.
Procurement & security
NDA, MSA, DPA, vendor onboarding, client-controlled cloud deployment, least-privilege access, and security questionnaires are supported. Regulated or 24/7 operations are scoped during qualification.
// Focused solutions
Explore a Specific Buying Need
Each page defines the problem, required inputs, deliverables, process, evidence, FAQs, and starting engagement.
services
GeoAI consulting services
GeoAI consulting for organizations combining geospatial data, machine learning, and operational workflows in one production-ready system.
servicesPostGIS performance optimization
PostGIS performance audits and remediation for spatial APIs, dashboards, tile services, and analytical workloads that have outgrown their database design.
servicesEnterprise GIS modernization
Enterprise GIS modernization for organizations moving from file-based, manual, or vendor-locked workflows to governed spatial data, APIs, and web applications.
servicesGeospatial data engineering
Cloud-native geospatial data engineering for raster, vector, telemetry, mobility, and business data that must be processed and served at production scale.
servicesSatellite change-detection services
Operational satellite change detection for land, infrastructure, agriculture, environment, and disaster workflows—with evidence and human review built in.
industriesRemote sensing for agriculture & desert greening
Remote-sensing systems for agricultural organizations and national greening initiatives needing repeatable crop monitoring, center-pivot tracking, anomaly triage, or yield-supporting signals.
industriesSmart-city spatial analytics & digital twins
Spatial analytics and 3D digital twins combining city assets, mobility, master planning, BIM-to-GIS, sensors, and environment into governed workflows.
industriesUtility network GIS
Utility network GIS for electricity, water, gas, and telecom organizations improving asset records, topology, field workflows, and spatial analytics.
servicesGIS development services
End-to-end GIS application development — interactive web maps, spatial APIs, geodatabase design, and field data tools — built by a team with deep, hands-on GIS engineering experience.
servicesSpatial analysis & geoprocessing
Expert spatial analysis and geoprocessing consulting — from site suitability and network analysis to catchment delineation, terrain modelling, and automated analytical workflows.
Ready?
Tell Us What You're
Trying to Build
Whether you have a project scoped or just a problem worth solving, start with a free strategy call. We'll give you a straight read on what it would take.
No obligationResponse within 24 hoursLimited spots per quarter