We build AI systems that transform drone imagery, satellite data, and terrain analysis into location-based insights your operations can act on — at national scale.
Purpose-built for the geospatial data challenges that matter to government, agriculture, real estate, and infrastructure teams.
Track crop health, forest cover, land use change, and vegetation stress at scale — from field level to national coverage.
Process terrain and aerial data to support urban planning, infrastructure compliance, and accessibility analysis at city or regional scale.
Ingest, process, and extract structured information from multi-source geospatial inputs — satellite, drone, LiDAR, and field survey data.
Detect land use changes, encroachments, infrastructure shifts, and anomalies across time-series imagery — automatically and at scale.
AI-powered imagery analysis solves high-value problems across multiple sectors
State agricultural departments and agri-finance institutions need accurate, timely data on crop health, area under cultivation, and yield estimates. Ground surveys are slow and expensive. Satellite-based AI monitoring provides district-level insights in days, not months.
Key uses: Crop area estimation, yield prediction, drought monitoring, insurance loss assessment, input subsidy verification.
The value in geospatial AI is in the pipeline — automating the ingestion, processing, and extraction that currently requires teams of GIS analysts to do manually. The insight is there in the imagery; the challenge is unlocking it at scale.
We start with two completely free steps. Every engagement is under NDA and can be deployed fully on-premise before you commit a rupee.
A focused session with your GIS, operations, or planning team to identify the highest-value AI use cases in your geospatial workflows. We bring domain-specific frameworks. No sales pitch.
100% FreeWe deliver a prioritized roadmap with ROI estimates specific to your data sources, coverage area, and operational requirements. Yours to keep with no obligation.
100% FreeWe build a working pilot on your actual imagery and geospatial data, deployed inside your infrastructure. You see results before you sign anything beyond the pilot scope.
Your DecisionBook your free workshop. Bring your GIS lead, your operations head, or your planning director — we'll map exactly where AI creates the highest impact for your organization.
Geospatial data — especially for government and defense-adjacent applications — requires the highest standards of data sovereignty. Every system we deploy keeps your data inside your controlled environment.
Your satellite imagery, drone data, and geospatial assets never leave your infrastructure. Full deployment inside your data center or government cloud. We bring the system to your data — not the other way around.
For government and defense-adjacent applications, data sovereignty is non-negotiable. All processing happens within your jurisdiction on hardware you control. No third-party cloud. No data egress.
Granular permissions ensure team members and agencies only access relevant datasets. Multi-tenant deployments for state government use cases maintain strict data separation between departments.
Complete logs of all data access, processing, and analysis operations. Essential for government accountability requirements and compliance with national data governance frameworks.
Data processing and storage on India servers. Full compliance with India's Digital Personal Data Protection Act — critical for government and citizen-facing geospatial applications.
Privacy and data protection by design for organizations with international operations or geospatial data covering European territories and citizen locations.
Traditional GIS software requires specialist operators and produces static outputs. Generic AI tools don't understand spatial data. We build end-to-end AI pipelines that make geospatial intelligence accessible to your entire organization.
Start with zero risk. Get a geospatial AI roadmap specific to your data sources and use cases before committing a rupee.
Everything you need to know before deploying AI on your spatial data.
We work with all major satellite data sources — Sentinel-1/2, Landsat, PlanetScope, ISRO Cartosat and ResourceSat, Maxar WorldView, and commercial drone data. We also work with LiDAR point clouds, aerial photography, and any standard GIS format (GeoTIFF, Shapefile, GeoJSON, etc.). If you have spatial data, we can build on it.
Yes. For government applications, we deploy entirely on-premise within your secure environment — no data leaves your network. We work under appropriate data security agreements and can meet NIC or equivalent government IT security standards. Data sovereignty is a first-class requirement in our architecture, not an afterthought.
Our systems produce outputs in standard GIS formats compatible with ArcGIS, QGIS, and any platform that accepts GeoJSON, Shapefile, or GeoTIFF. We build AI pipelines that sit on top of your existing GIS infrastructure — enhancing what you have rather than replacing it. We also build custom dashboards for non-GIS users who need the insights without the technical interface.
Accuracy depends on imagery resolution, vegetation type, and specific use case. For vegetation monitoring with 10m resolution Sentinel-2, we typically achieve 85-92% classification accuracy. For object detection with drone imagery at 5cm resolution, accuracy exceeds 95%. We always benchmark accuracy on your actual data before deployment and will share realistic numbers — not best-case marketing figures.
We design processing architectures to match your infrastructure and data volume. For on-premise deployments, we optimize for the hardware available — GPU-accelerated where possible, distributed processing where needed. For national-scale projects, we can architect solutions that process incrementally as new imagery arrives rather than requiring batch reprocessing of entire archives.
We have experience across agriculture (crop monitoring, yield estimation), government (urban planning, land record verification, encroachment detection), utilities (right-of-way monitoring, vegetation management), and real estate (site analysis, development compliance). If your challenge involves making sense of spatial data at scale, it's likely something we've seen a version of before.
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
IIT-Delhi, Computer Science
Co-Founder
Ex-McKinsey
IIM-Ahmedabad
Book a 30-minute discovery call with our team. We'll identify your highest-ROI use case — whether it's vegetation monitoring, change detection, urban mapping, or large-scale data processing — and map out a secure implementation path.
Discover 3 high-ROI geospatial AI use cases for your organization — vegetation monitoring, change detection, or urban mapping. No cost. No commitment. Just clarity.
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