Twin Earth AI

DEEPTECH LARGE SCENE SOLUTIONS & APPLICATION

TWinEARTH.ai

Twin Earth AI

Large Geospatial Model · India-first

TWinEARTH.ai

Twin Earth’s Large Geospatial Model is built on diverse real-world data collected across Indian environments using ground-based sensors, mobile platforms, and overhead sources such as drones and satellites. This data is carefully processed, aligned, and fused to capture the complexity of Indian urban, semi-urban, and rural landscapes—including dense cities, heritage zones, agricultural regions, and infrastructure corridors.

Our model is designed to deliver three core services tailored to Indian scenarios:

  • Reconstruct

    Generate accurate and scalable 3D representations of real-world environments, even in challenging conditions such as unstructured roads, varying illumination, and dense population settings.

  • Localize

    Enable robust and precise localization across diverse Indian terrains, including GPS-denied or low-connectivity areas.

  • Understand

    Extract semantic and contextual insights from geospatial data to support applications like smart cities, infrastructure monitoring, disaster management, and rural planning.

This approach allows Twin Earth to bridge the gap between complex real-world Indian environments and intelligent, scalable geospatial solutions.

Company overview

Field capture & outputs

Twin Earth showcase 1

Collection

Collect high-quality geospatial data from real-world environments, even in challenging conditions such as unstructured roads, varying lighting, and dense population areas.

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Reconstruct

Convert collected data into accurate and scalable 3D models of environments for better analysis and mapping.

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Visualize & Understand

Visualize the data and extract meaningful insights to support applications like smart cities, infrastructure monitoring, disaster management, and rural planning.

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Latest activity

Solutions in motion

Recent workstreams across reconstruct, localize, and understand—tailored to Indian scenarios.

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Hardware

LiDAR Sensor System

High-precision LiDAR sensors for capturing 3D point cloud data across diverse Indian terrains including urban and rural environments.

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Hardware

Drone Mapping Platform

UAV-based aerial mapping system for large-scale geospatial data collection using high-resolution cameras and sensors.

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Library

Recently added resources

Guidelines, benchmarks, and taxonomies—curated for teams building on Twin Earth.

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Infrastructure

High-End Computing Cluster

Multi-node cluster with 100+ cores for large-scale simulations.

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Recorder

Handy recorder

The new H1n is the ultimate take-anywhere recorder for every creators gear bag.

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Video Console

Meta Quest 3S

Meta Quest 3S 128GB — Advanced All-in-One Mixed Reality Console - White

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Why Twin Earth

Why choose us

What sets our geospatial stack apart for India-first deployment and long-term partnerships.

  • India-specific training signal: data and priors tuned for subcontinent terrain, mobility, and built-form diversity.
  • End-to-end stack from capture guidance to Reconstruct, Localize, and Understand—aligned to your operational constraints.
  • Handles harsh real-world variability: monsoon washout, dust, night markets, unstructured roads, and heritage clutter.
  • Deployment-aware: works with constrained bandwidth, intermittent GPS, and mixed sensor fleets on vehicles and drones.
  • Governance-ready outputs: audit-friendly metadata, provenance, and integration hooks for smart city and enterprise GIS.
  • Cross-sector playbooks: smart cities, infrastructure, defence and large venues, agriculture, and disaster response.

FAQ

Common questions

Detailed answers about Twin Earth’s geospatial model, deployment, and how we work with Indian environments.