Your AI pilot works in a notebook. Let's make it work in production.
Most AI pilots never ship. We take your working prototype and turn it into a production system: monitored, scalable, and maintainable by your team.
What we do
Assess model quality, data dependencies, and technical debt. Identify what needs to be rebuilt vs. what can be wrapped.
Ingestion, feature engineering, serving, and monitoring. Deployed in your infrastructure — not ours.
Drift detection, cost monitoring, latency alerting, and failure recovery. You know when it breaks before users do.
Documentation, runbooks, and knowledge transfer. Your team can operate it independently.
Terms
Proof
ML forecasting replaces decades-old geophysical modeling for an oil & gas operator.
AI-first meal-planning app built from scratch and handed to a new in-house team of eight.
Real-time food recommender MVP launched without an in-house data-science hire.
Full-cycle MVP for a data-center optimization startup — two pilot projects secured.
Data scientist on demand validates a fuzzy investor-matching concept.
Common questions.
What if our pilot was built by a third party?
We audit the code and architecture first. If it's unsalvageable, we'll tell you before you commit to productionization.
Do you retrain or improve the model?
We focus on productionization, not research. If the model needs retraining, that's a separate scoped engagement.