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AI/ML & Data Engineering
Models are only useful when they run reliably where the decision is made — and only as good as the data behind them. We scope the deployment target and the data estate first, then build the model to fit both.
Services
AI development and AI/ML services
Computer vision, forecasting, applied LLM systems and the data pipelines beneath them — scoped to the deployment target first, then built to fit its latency, power and failure budget. Delivered from our New Delhi lab, for clients across India.
01
Computer Vision
02
AI & LLM Solutions
03
Predictive Analytics
04
Data Engineering
05
AI Model Deployment & Management
06
Video Analytics
07
Object Detection & Tracking
08
Document Intelligence & OCR
09
Anomaly Detection
10
Time-Series Forecasting
11
Edge AI Optimisation
12
Data Annotation & Governance
13
MLOps Pipelines
What We Deliver
Scope of work
Typical toolchain
PyTorch · ONNX Runtime · TensorRT · OpenCV · Apache Spark · Kafka · Airflow · MLflow
- Computer vision systems — detection, segmentation, tracking, defect and anomaly identification
- Predictive maintenance and forecasting models on sensor and telemetry streams
- Applied LLM systems — retrieval, structured extraction and tool-using assistants, including fully on-premise models
- Data engineering — ingestion, warehousing, streaming and lakehouse pipelines
- Annotation workflows, dataset governance and data-quality controls
- MLOps: versioning, reproducible training, drift monitoring and model compression for the edge
Where It Is Applied
Sectors we deliver this in
01
Defence & National Security
Ruggedised electronics, secure communications and autonomy for mission systems.
02
Government & Public Safety
Investigation platforms, video forensics and secure citizen-facing services.
03
Geospatial & Earth Observation
Satellite analytics, mapping pipelines and spatial decision support.
04
Automotive & Mobility
Vehicle electronics, battery systems, telematics and EV charging.
05
Industrial & Manufacturing
Machine-vision inspection, predictive maintenance and custom automation hardware.
06
Energy & Utilities
Grid monitoring, renewable integration and smart metering.
07
Smart Cities & Infrastructure
Integrated command centres, urban sensing and spatial planning.
08
Maritime & Naval
Coastal surveillance, shipboard electronics and port systems.
09
Banking & Financial Services
Fraud analytics, security testing and resilient, audit-ready platforms.
10
Healthcare & Life Sciences
Medical device electronics, diagnostic models and regulated software practice.
11
Agriculture & AgriTech
Crop analytics from satellite and UAV imagery, plus the sensing on the ground.
12
Construction & Engineering
Site survey, structural monitoring and design-to-site digital twins.
13
Mining & Natural Resources
Geospatial survey, site monitoring and equipment instrumentation.
14
Logistics & Supply Chain
Asset tracking, route optimisation and warehouse intelligence.
15
Research & Education
Research instrumentation, data platforms and technical training.
16
Aviation & Airports
Airport operations software, perimeter security and UAV systems.
Other Capabilities
Talk to the AI/ML & Data team.
Send the requirement — however rough. An engineer from this discipline will read it and come back with a technical view, not a sales deck.