Adding AI capabilities to an existing product or platform?
Production ML, not a prototype.
We ship production features, not proof-of-concept notebooks. Your existing stack stays. We integrate directly through REST APIs, model fine-tuning, and inference pipelines that run alongside what you already have.
SaaS demand forecasting feature.
Here's what a technical engagement looks like. A SaaS company, 15 employees, needs demand forecasting built into their existing Rails API. We scope the data requirements, select and fine-tune the model, build the integration layer, and ship to production in six weeks.
The integration layer handles data validation, feature extraction, model versioning, and fallback logic. The model runs behind a REST endpoint with sub-200ms p95 latency. Deployed to the existing infrastructure. No new services, no vendor lock-in.
The client's team owns it completely. No black box.