Infryne TechWorks engineers production-grade GeoAI and spatial intelligence systems—from satellite imagery and spatial data infrastructure to custom AI models, Web GIS, APIs, and operational applications. We bridge the divide between GIS and scalable software engineering. Location is the variable your competitors are missing.
Deck.gl, MapLibre, dynamic PMTiles & MVT vector tile streaming.
High-concurrency spatial SQL, GiST/BRIN indexes & H3 discrete grids.
Sentinel-2, Landsat, SAR, and spatial ML with zero data leakage.
Traditional data analytics tells you what happened. Geospatial intelligence tells you where — and that context changes everything. Infryne TechWorks builds the systems that bring both together.
Siloed desktop GIS workflows, static PDF maps, or generic software apps built without spatial science. Heavy proprietary licensing lock-in and models blind to spatial dependence.
The GeoAI engineering firm turning spatial data into production intelligence systems. We unify satellite data, PostGIS infrastructure, AI models, and 60 FPS Web GIS into one sovereign architecture.
From raw satellite imagery and AI-powered GIS to enterprise geospatial AI deployment — we cover the full stack, so you don't have to stitch vendors together.
We don't just deliver technical advice. We build, ship, and benchmark high-throughput Web GIS applications and production GeoAI engines used by analysts worldwide.
In-Browser Web GIS · DuckDB Spatial SQL · Zero Server Upload
High-performance, zero-upload browser GIS editor. Open, inspect, style, and query Shapefiles, GeoJSON, KML, and GeoParquet files with 100% client-side WebAssembly privacy and hardware-accelerated 3D polygon extrusions.
Earth Observation AI · Automated dNBR · Cloud GeoTIFF Stream
Automated satellite earth observation platform. Enter any coordinate globally to retrieve Sentinel-2 and Landsat 8/9 imagery, compute calibrated burn severity (dNBR & BAIS2), overlay NASA FIRMS active fire hotspots, and stream GIS-ready COGs.
60 FPS Deck.gl and MapLibre portals tailored to your enterprise spatial data.
Custom vision pipelines for automated land cover, change detection, and asset inspection.
Tuned PostGIS spatial schemas, dynamic MVT vector servers, and GeoParquet pipelines.
Open cloud-native standards with zero proprietary seat licensing fees.
Infryne TechWorks was founded with a single conviction: location context unlocks the deepest insights. So we didn't hire a few GIS contractors and call it a capability. We built an interdisciplinary team where spatial thinking is native to every engagement.
Our data scientists, GIS engineers, AI specialists, and domain experts share the same workflow. That's why our solutions are faster to deploy, deeper in accuracy, and built to hold up in production — not just in demos.
Every engagement begins with rigorous analysis of your data, domain, and objectives. We don't recycle templates. We build from first principles.
Location is a first-class dimension in every model, pipeline, and insight we create — not an afterthought layered on at the end.
We build systems that scale and systems that last — from early-stage prototype through enterprise deployment, with SLA coverage and monitoring built in.
We intentionally cap our active client load each quarter. Your project gets the team's full attention — not a slice of it.
We go deep on your data, systems, and business goals. No intake forms. A real conversation with the engineers who will build.
We design a scalable, cloud-native blueprint — AI pipelines, spatial layers, and integration points scoped to your constraints.
Agile sprints with continuous testing and your team in the loop. You see real progress every week, not a big reveal at the end.
Production deployment with monitoring, SLA coverage, and documentation your team can actually use. We don't disappear at launch.
Practical research, engineering decisions, and lessons from building GeoAI systems that work beyond the demo.
Wildfire burn scar mapping using Sentinel-2 and Landsat 8/9 — NBR, BAIS2, RBR spectral indices, NASA FIRMS active fire integration, and the Infryne TechWorks satellite analytics platform.
A 10-year Landsat archive study overlaying land surface temperature with census wards, income proxies, and tree canopy to map spatial heat burden in Karachi.
A production walkthrough of Sentinel-2 L2A, cloud masking, median composites, spatial validation, CNN inference, and field-ready crop stress alerts.
Give us the essentials. We’ll review the problem, then you can choose a 30-minute time immediately—no long qualification form.
