Data consulting, done properly.

Applied AI & Machine Learning

Custom machine-learning systems across the full lifecycle — from framing the problem and curating data to training, evaluating, deploying and continuously improving models.

• ML strategy & problem framing
• Model development & evaluation
• Automated ML pipelines & MLOps
• LLM & generative AI integration
• Time-series forecasting

Computer Vision & Edge AI

Vision systems that work where they are deployed — on phones, thin devices and browsers — not just in a lab. Built for accuracy first, then distilled and quantised for the edge.

• Instance segmentation & object detection
• Geometric pipelines (homography, calibration)
• ONNX inference on-device & in-browser
• Model distillation & quantisation
• Custom dataset curation & annotation

Data Platforms & Cloud Engineering

Reliable foundations for analytics and AI — pipelines, time-series storage and cloud infrastructure defined as code, with CI/CD and monitoring from day one.

• Data pipelines & integration
• Time-series & behavioural analytics
• Cloud infrastructure (AWS, Terraform)
• CI/CD & automated deployments

Full-Stack Product Engineering

Complete products, not just models — web, iOS and Android applications with robust APIs and infrastructure behind them, ready for app-store review and real users.

• iOS, Android & web applications
• Backend APIs & domain design
• Authentication, payments & integrations
• Deployment & maintenance

1 · Discover

We audit your data and constraints, then define the smallest system that delivers real value. If AI isn't the right tool, we say so.

2 · Prototype

A working proof of concept on real data, with honest metrics — so the decision to invest is based on evidence, not hype.

3 · Build

Production engineering: testing, monitoring, documentation and infrastructure as code. Owned end to end.

4 · Operate

Automated retraining, evaluation and maintenance — systems that keep working after the project ends.