From Earth Observation to Enterprise Decisions
See reality differently
Intelligence Built Into Every Location
35
Years of geospatial experience
3M+
Sq. km. of satellite data processed
150+
GIS specialists
120+
GIS projects delivered
100+
Enterprise customers
1000+
Digital engineers
10+
Industries served
From raw observations to operational action
Cyient covers the full chain from ingestion and processing to GeoAI analytics, predictive modeling, reality mapping, digital twins, and enterprise integration.
Observe.
Collect.
Enrich.
Satellite, aerial, drone,
mobile imagery, LiDAR,
CAD, BIM, and IoT inputs.
From raw observations to operational action
Cyient covers the full chain from ingestion and processing to GeoAI analytics, predictive modeling, reality mapping, digital twins, and enterprise integration.
Process
Correct. Extract.
Classity.
Enhancement, normalization,
feature extraction, classification
and quality validation.
From raw observations to operational action
Cyient covers the full chain from ingestion and processing to GeoAI analytics, predictive modeling, reality mapping, digital twins, and enterprise integration.
Detect.
Predict.
Prioritize.
Change detection,
spatial risk analytics,
predictive modeling, and
hotspot identification.
From raw observations to operational action
Cyient covers the full chain from ingestion and processing to GeoAI analytics, predictive modeling, reality mapping, digital twins, and enterprise integration.
Visualize
Map. Model.
Simulate.
Terrain models,
three-dimensional reality
views, corridor models,
and digital twins.
From raw observations to operational action
Cyient covers the full chain from ingestion and processing to GeoAI analytics, predictive modeling, reality mapping, digital twins, and enterprise integration.
Integrate.
Automate.
Act.
Enterprise GIS, field
workflows, dashboards,
analytics, and
operational decision support.
Spatial data is becoming an enterprise decision layer
Reality at Scale
Satellite, aerial, drone, mobile, and LIDAR sources are expanding the available view of assets,
infrastructure, and environments.
GeoAl Automation
AI and machine learning automate feature extraction, classification, change detection, and predictive analysis.
2D and 3D Context
Reality models and digital twins improve planning, monitoring, simulation, and asset-centered decisions.
Operational Integration
Spatial intelligence creates measurable value when integrated
with enterprise and operational systems.
Spatial intelligence from source data to decision support
Earth Observation & Imagery Intelligence
Process satellite, aerial, drone, and mobile imagery into trusted, decision-ready data products.
- Satellite, aerial, drone, and mobile imagery processing
- Correction, enhancement, and normalization
- Feature extraction and object detection
- Change detection
- Land-use and land-cover classification
- Ortho, mosaics, basemaps, and reference layers
GeoAl & Automated Spatial Analytics
Apply machine learning and deep learning to classify features, automate extraction, and identify risk.
- ML and deep learning classification models
- OBIA segmentation
- Automated feature extraction
- Flood, wildfire, and vegetation analytics
- Predictive hotspot modeling
- Cloud processing and dashboard-ready layers
Reality Mapping
Create data-rich terrain, corridor, and infrastructure models that support three-dimensional decisions.
- LIDAR point-cloud processing and classification
- DEM, DTM, and DSM generation
- 3D city and corridor models
- Catenary, sag-tension, and clearance analysis
- Terrain and infrastructure modeling
- Quality and accuracy validation
Spatial & Digital Twins
Build indoor and outdoor intelligence by connecting spatial data, BIM, assets, IoT, and operational systems.
- Outdoor twins for networks, terrain, and assets
- Indoor mapping and navigation
- BIM and CAD to GIS integration
- IoT and operational data overlays
- Asset-centered monitoring
- Simulation and operational visualization
Put location intelligence inside everyday decisions
Integrate into operations
Connect spatial intelligence with enterprise GIS, utility network models, field service platforms, asset and maintenance applications, engineering tools, digital twins, analytics, and business intelligence.
Support decisions across functions
Prioritize risks, plan corridors and routes, trigger event response, approve asset interventions, improve field actions, and strengthen facility operations.
Assess. Pilot. Scale.
Identify priority decisions and data readiness, prove value on selected assets or regions, and then industrialize pipelines, governance, integrations, and managed delivery.
Accelerators for speed, accuracy, and repeatability
GeoAl remote sensing intelligence
Automated feature identification, high-frequency change detection, AI-driven LiDAR classification, and spatial risk and condition intelligence.
LandSENS
Pre-trained GeoAI models for rapid, high-accuracy land classification and change detection.
SatTrail
Analytical support for flood and wildfire monitoring using near-real-time event data and impact analysis.
InfraManage
Converts LiDAR and 3D BIM data into intelligent indoor maps, floor plans, asset context, and internal routing
Sketch2glS
A lightweight application for dynamically capturing house connections with dimensional accuracy and structured data entry.
TruShift
A semi-automated framework for realigning spatial datasets through pre-conflation, conflation, and post-conflation workflows.
Spatial intelligence applied to real-world decisions
Built with a strong geospatial
ecosystem
Perspectives on GeoAl, mapping, and digital twins
DIGITAL TWINS
Connecting spatial truth to operational systems