Enterprise .NET AI integration

Add private AI to your .NET product without a sidecar.

Overfit is built for teams that already ship .NET and need local AI in regulated, on-prem, locked-down or air-gapped environments. Embed it as a library, or serve an OpenAI-compatible API as a ~34 MB Native-AOT container — including Polish Bielik-based agents and in-process voice.

Drop-in deployment

An OpenAI-compatible API — on-prem, in a 34 MB container.

Point your existing OpenAI clients, Semantic Kernel or Microsoft.Extensions.AI at Overfit by changing one base URL — even Microsoft.Extensions.AI.Evaluation’s LLM-as-judge evaluators run fully locally, with an Overfit model as the judge (no Azure, no key, no egress). The server is dependency-free (HttpListener, no ASP.NET), compiled with Native AOT into a single self-contained binary — ship it as a NuGet library, a global tool, or a tiny container. Nothing leaves your network.

POST /v1/chat/completions
POST /v1/embeddings
POST /v1/audio/speech
GET /v1/models
GET /health
SSE streaming
$ dotnet tool install -g DevOnBike.Overfit.Cli $ docker run -p 8080:8080 -v ./models:/models devonbikeit/overfit /models/model.gguf
OpenAI-compatibleNative AOT · ~34 MB~0% CPU at idleNo ASP.NETNo PythonOn-prem / air-gappedNo data egress
Packages

Concrete integration outcomes.

Private .NET RAG / Agent PoC

Local model, RAG, C# tools, JSON and ASP.NET endpoints in your infrastructure.

Bielik Polish Agent

Bielik over Polish documents, procedures, claims, policies and support docs with tool calling and JSON.

Sidecar replacement

Replace Python, Ollama, ONNX Runtime or model-server deployment with an in-process .NET path.

Next step

Send a short technical brief.

Include current stack, target deployment, model/data constraints, latency target, whether native binaries are allowed and what a 2-week proof must show.

Email devonbike@gmail.com