Geospatial intelligence.
Built for decisions.

DataU brings geospatial science and AI together to turn complex spatial and real-world data into intelligence that helps organisations understand, predict, and respond.

Context for the world around us.

Across infrastructure, land, agriculture, and essential services, we connect geospatial evidence with AI to help teams understand change and respond to it.

Spatial context. Clear evidence. Better responses.
Government & Defence
Infrastructure & Utilities
Agriculture & Environment
Urban Planning
Telecom & Energy
Transport & Logistics
Industry expertise

Make Sense of the World. Shape What Comes Next.

Geospatial intelligence and AI, working together to turn real-world complexity into clarity, foresight, and action.

Smart City / GIS

Real-Time Infrastructure Mapping for a Municipal Corporation

A real-time mapping system brought municipal pipeline data into a clearer operational view for maintenance teams.

  • Real-time infrastructure mapping
  • 200 km of pipeline network coverage
  • Built around maintenance response
35%

faster maintenance response

across 200 km of pipeline networks

Illuminated data center corridor used as an illustration of digital infrastructure
Discuss your use case
Agriculture / AI

AI Crop Monitoring with Satellite Imagery

Satellite imagery and AI helped monitor crops and improve prediction accuracy, with a measurable reduction in water usage.

  • Satellite imagery analysis
  • AI-assisted crop monitoring
  • Water-use reduction
40%

improvement in prediction accuracy

with measurable reduction in water usage

Aerial view of cultivated fields and tree lines
Discuss your use case
Enterprise / GenAI

RAG-Based Policy Knowledge Assistant

A retrieval-based knowledge assistant made policy information faster to find within six weeks of deployment.

  • RAG-based policy retrieval
  • Enterprise knowledge access
  • Deployed within six weeks
70%

reduction in lookup time

achieved within six weeks of deployment

Robotic hand above a laptop used as an illustration of AI assistance
Discuss your use case

From observation to response.

We start with real-world context, connect spatial data with AI, and make the resulting intelligence useful to the people making decisions.

STEP 01 / 04

STEP 01

Understand the real-world context

We begin with the place, the available data, and the decisions people need to make. Then we assess gaps, quality, and operational constraints.

What this step establishes

  • Place and data inventory
  • Decision and user map
  • Data quality assessment
STEP 02

Connect spatial data and AI

We shape the GIS, sensing, analytics, and machine learning around the questions that matter, with clear measures of success.

What this step establishes

  • Spatial data architecture
  • Model and integration plan
  • Measurable success criteria
STEP 03

Make the insight usable

We build maps, visualisations, and decision tools that make complex evidence understandable and practical for the people using it.

What this step establishes

  • Interactive visualisations
  • Practical decision interfaces
  • Documented handover
STEP 04

Improve the response

We learn from use, refine the models and interfaces, and extend the system as new data and decisions emerge.

What this step establishes

  • Usage and performance review
  • Model and interface refinements
  • Plan for new data and use cases

Client Voices

What our Clients Say

“DataU transformed our city's infrastructure planning with a GIS platform that was accurate, real-time, and built to scale.”

Director, Smart City Mission

Municipal Infrastructure

“Their AI-powered analytics engine reduced our crop loss prediction errors and gave our team reliable field intelligence.”

CTO, AgriTech Startup

AI Crop Intelligence

“The RAG-based copilot changed how our support and policy teams retrieve internal knowledge. Fast, secure, and practical.”

VP Operations

Enterprise Knowledge Systems

Understanding starts with location.

DataU operates at the intersection of geospatial science and artificial intelligence. We turn complex spatial and real-world data into intelligence organisations can use.

Our work helps teams understand what is happening, anticipate change, and decide how to respond.

Geospatial Science

GIS and remote sensing provide the location, context, and evidence behind a changing landscape.

Artificial Intelligence

Spatial analytics and AI/ML reveal patterns, model change, and help teams anticipate what may happen next.

Useful Visualisation

Maps and clear interfaces make that intelligence available to the people who need to respond.

Tell us what you need to understand.

Share the place, data, and decision involved. We can discuss how geospatial science and AI could help your team move forward.

LocationsNagpur | Delhi | San Jose