Applied AI that reaches production.
We ship models that run on live data behind SLAs — embedded ADAS vision on TDA2x silicon, defect detection on the line, forecasting inside ERP. Every engagement starts from a measurable business metric, not a demo.
Where our models are already working
Computer Vision on the Edge
Driver drowsiness and gaze detection running at 30 FPS on automotive SoCs with quantised, hardware-accelerated inference.
Visual Quality Inspection
Surface-defect classification on production lines, catching flaws below the reliable threshold of manual inspection.
Predictive Maintenance Models
Time-series anomaly detection on vibration and current data, forecasting motor and bearing failure windows.
Demand & Capacity Forecasting
Gradient-boosted and seasonal models feeding planning systems to cut both stockouts and excess inventory.
Document Intelligence
OCR plus LLM extraction turning invoices, PODs and contracts into structured records inside the ERP.
Retrieval-Augmented Assistants
Internal copilots grounded in your own runbooks, SOPs and ticket history, with citation and access control.
Measured results from shipped models
Models are a product, not a project
Versioned Data & Features
Reproducible datasets and feature stores so any prediction can be traced back.
Automated Training Pipelines
Scheduled retraining with evaluation gates that block regressions from shipping.
Drift & Bias Monitoring
Live distribution monitoring with alerting when inputs move away from training data.
Shadow & Canary Rollouts
New model versions proven against production traffic before they take over.
Cost-Aware Serving
Batching, quantisation and edge/cloud placement tuned to your latency and budget.
Governance & Explainability
Model cards, audit trails and human-in-the-loop review for regulated decisions.