Some problems don't yield to a prompt. When the accuracy bar is high, the data is unusual, or the task is genuinely novel, you need custom modeling — and the depth to do it well.
Led by a Kaggle Grandmaster, this practice builds bespoke models for computer vision, forecasting, and optimization where off-the-shelf tools plateau. We treat modeling as engineering under constraints: measured against a clear baseline, validated the way a competition would be, and built to run in production rather than a notebook.
Detection, inspection, and automation systems built for industrial and regulated settings.
Models for demand, risk, scheduling, and resource allocation where accuracy moves money.
Bespoke approaches when the standard toolkit stops improving — benchmarked against a hard baseline.
Competition-grade evaluation: leakage checks, honest baselines, and metrics that reflect the real objective.
For high-accuracy or novel problems where GenAI or off-the-shelf models fall short.
It often runs alongside GenAI development within a single system.
Bring one use case to a 45-minute working session — we'll bring the delivery evidence.