Sathus AI 2.0 is now generally available — evaluation harnesses and guardrails included. Explore
Build robust, async-first backend microservices with Python FastAPI, Pydantic v2, and .NET 9. Strict OpenAPI 3.0 typing, RFC 7807 error envelopes, and enterprise security compliance.
Common obstacles that prevent enterprises from realizing the full value of AI initiatives.
Synchronous legacy frameworks block worker threads during heavy database or AI IO operations.
Core capabilities that enable production-grade AI systems with enterprise governance.
Non-blocking Python 3.13+ async execution with Pydantic v2 validation models.
RFC 7807 problem details envelopes, Redis rate limiters, and OAuth2 JWT authorization.
Domain-Driven Design (DDD), Repository Pattern, Dependency Injection, Async SQLAlchemy 2.0, Redis cache, and OpenAPI generation.
The tools and platforms we use to deliver production-grade AI systems.
API design lifecycle.
Draft OpenAPI 3.0 schema specs before coding.
Implement Domain, Application, Infrastructure, and API layers.
Pytest integration and load testing with Locust.
Measurable results that drive enterprise value from AI initiatives.
High-concurrency async throughput under load.
50k+ RPS
Real-world examples of how we've delivered AI solutions for enterprise clients.
OneHealth Global • Healthcare • 5 Months
Legacy synchronous API bottlenecked FHIR patient record access.
Async FastAPI microservices with Redis response caching.
Sub-5ms response times and 100% FHIR R4 API compliance.
Common questions about our AI Engineering practice and approach.
FastAPI delivers near-Go speeds due to Starlette and Pydantic v2, with native async support and automatic OpenAPI specification generation.
Let's discuss how our engineering practices can accelerate your business outcomes.
