Applied AI, engineered for production
We don't sell demos. We build retrieval pipelines, MCP servers, agents and skills that run reliably — grounded in your data and integrated into the C# / .NET systems your business already depends on.
Capabilities
Eight ways we put AI to work
AI Development
Custom LLM-powered features built into your C# / .NET products.
- Chat, copilots and assistants embedded in line-of-business apps
- Structured output, function calling and tool use done reliably
- Streaming, caching and cost controls for production workloads
C# · ASP.NET · Semantic Kernel · OpenAI / Anthropic / Gemini
RAG Implementations
Retrieval-augmented generation grounded in your own data.
- Ingestion & chunking pipelines for documents, DBs and APIs
- Vector search (pgvector, Azure AI Search, Qdrant) with hybrid ranking
- Citations, evals and guardrails so answers stay trustworthy
pgvector · Azure AI Search · embeddings · .NET pipelines
MCP Server Implementations
Model Context Protocol servers that expose your systems to any AI client.
- Wrap internal APIs, databases and tools as MCP resources & tools
- Auth, scoping and audit so agents act safely on your data
- Works with Claude, IDEs and your own agents out of the box
MCP · C# / TypeScript · OAuth · audit logging
AI Agents & API Integration
Autonomous and assisted agents wired into your business processes.
- Multi-step agents with planning, tools and human-in-the-loop
- Integrations with ERPs, CRMs and third-party APIs
- Observability, retries and budgets for predictable behavior
Agent frameworks · REST / GraphQL · webhooks · queues
Specialized Agents
Purpose-built agents that master one job in your domain — not generic chatbots.
- Role-specific agents: support, data entry, QA, research, ops
- Grounded in your data, rules and tone with tight guardrails
- Multi-agent teams that hand off and collaborate on a workflow
domain agents · tool routing · evals · human-in-the-loop
Agent Skills
Reusable skills that extend coding agents and assistants.
- Package domain expertise as composable, versioned skills
- Custom slash commands and workflows for your team's agents
- Tested, documented and shipped like real software
Claude Skills · prompt engineering · CI for prompts
Private & Local LLMs
Run models on your own hardware when data can't leave the building.
- On-prem / VPC deployment with LM Studio, Ollama and vLLM
- Quantization and sizing for the right cost / quality trade-off
- Hybrid routing: local for sensitive, cloud for heavy lifting
LM Studio · Ollama · vLLM · self-hosted inference
ONNX Runtime & On-Device ML
Fast model inference — and on-device training / fine-tuning — straight from C# / .NET.
- Run vision, NLP and tabular models in-process with ONNX Runtime for .NET
- On-device training & fine-tuning with ORT Training — no Python at runtime
- Hardware acceleration (CPU / GPU / DirectML / CoreML) and quantization
ONNX · ONNX Runtime · ORT Training · ML.NET · DirectML
Why BitFrameWorks
AI from a team that already ships enterprise software
Most AI demos die on the way to production — auth, data access, error handling, observability and cost are afterthoughts. Those are exactly the things we've done for over a decade building XAF and .NET line-of-business systems. We bring that discipline to your AI, so it survives contact with real users.
How we work
From idea to production
Discover
We map the use case, data and constraints — and tell you honestly what AI can and can't do for it.
Build
A working slice in weeks, on your stack, with evals from day one so we measure quality not vibes.
Harden
Guardrails, observability, cost controls and security review before anything touches production.
Ship & support
We deploy alongside your team and stay on to iterate as models and needs change.
Let's turn your AI idea into something that ships
A short discovery call is free. We'll tell you whether AI is the right tool — and if it is, the fastest path to production.
Book a discovery call