MLOps
The engineering discipline that keeps your AI honest, observable, and in production.
Closing the gap between prototypes and production
Most AI projects produce a promising prototype. Far fewer make it to production, and fewer still stay accurate over time.
The reasons are almost always the same: no deployment pipeline, no monitoring, no process for retraining when the world changes.
MLOps is the discipline that closes this gap, turning models into systems that run reliably in real-world conditions.
Solutions in practice
Healthcare
Turning clinical NLP models into a scalable, API-ready product
Savana, a healthtech company delivering clinical NLP trained on electronic health records, had powerful AI models running internally but no way for clients to access them directly. With Astrafy's support, they productionized their models on Vertex AI and built a fully operational API layer using API Gateway and Cloud Run, turning internal models into a scalable, consumable service.
