Service 02 — Machine Learning
Models That Earn Their Keep
Most ML projects fail on vague goals, not bad math. We start by defining the decision the model will change — approve, reorder, call, discount — then train relentlessly toward that metric.
From gradient boosting on tabular data to fine-tuned language models, we pick the simplest approach that beats your baseline, and we prove it with backtests you can inspect.
- Demand & revenue forecastingSKU-level predictions that feed purchasing directly.
- Scoring & churn modelsKnow who will leave, default or convert — in time to act.
- Recommendations & personalizationRanking that lifts conversion without creepy overreach.
What's Included
From Raw Tables To Live Predictions
Data Engineering
Feature pipelines from your warehouse, CRM and events — versioned and testable.
Model Training
Systematic experiments with tracked metrics — the winner must beat your baseline.
Deployment & APIs
Low-latency endpoints, batch jobs and dashboards wired into your stack.
Monitoring & Retraining
Drift detection and scheduled retrains so accuracy survives changing reality.
How We Prove It
Backtests Before Promises
Every model ships with a backtest report: how it would have performed on data it never saw, compared against your current process. If it doesn't win clearly, we tell you — and you don't pay for a production build.
- Holdout evaluationTested on unseen periods, not cherry-picked samples.
- Explainability reportsFeature importance your stakeholders can actually read.
- Shadow mode firstNew models run beside old processes until trust is earned.
Related Work
ML In Production
Less than most teams fear. Useful forecasts often start from 12–24 months of history; classifiers from a few thousand labeled examples. We assess this free during the pilot.
Then we say so, show you the numbers and stop. You keep the analysis. Roughly one pilot in six ends this way — and clients tell us the honesty is why they come back.
You do — training code, weights, pipelines and docs, all in your repositories from the first commit.
Let's test your data against a real model.
Free 14-day pilot with a backtest report you can keep — whatever you decide.