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 / 06Enterprise GIS
GIS & Geospatial Systems
Enterprise GIS
Built to Be Used, Not Just Built
GIS platforms that look impressive in demos but never get adopted are common. We design spatial systems around how your team actually works, from the database schema to the interface your field staff will open every morning.
Web GIS Application Development
Interactive spatial web apps using Mapbox GL, Leaflet, or Deck.gl, from field data collection tools to executive geo-intelligence dashboards.
Geodatabase Architecture
PostGIS schema design, spatial indexing, and data modeling for complex feature hierarchies built to serve high query loads.
Spatial Analysis & Geoprocessing
Buffer analysis, network routing, catchment delineation, viewshed modelling, and terrain analysis, automated and reproducible.
Cartography & Map Production
Print and digital map design for planning documents, public-facing portals, and operational dashboards with style systems that scale.
GIS Migration & Modernisation
Migration from legacy desktop GIS workflows to modern cloud-native spatial stacks with minimal disruption and full data integrity validation.
// 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
// How to Engage
Three Ways to Work With Us
We scope engagements to match where you are, from early-stage exploration to long-term embedded support.
Discovery Sprint
2–4 Weeks · Fixed Scope
A focused investigation into your data, goals, and technical environment. Ends with a clear architecture recommendation, risk assessment, and delivery roadmap.
- →Data audit and feasibility review
- →Architecture blueprint
- →Delivery roadmap and cost estimate
- →No commitment beyond the sprint
Full Delivery Project
8–24 Weeks · Milestone-Based
End-to-end design, build, and deployment of your platform, model, or pipeline with weekly progress updates and your team embedded in every sprint review.
- →Full architecture and build
- →Agile sprints with weekly demos
- →Production deployment and monitoring
- →Documentation and handover training
Ongoing Retainer
Monthly · Rolling Scope
Dedicated capacity for organizations that need continuous spatial and AI capability, iterating on existing systems or expanding scope over time.
- →Guaranteed monthly capacity
- →Priority response SLA
- →Strategic advisory included
- →Flexible scope month to month
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