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AI, LLM, RAG, and MCP integrations

Integrate language models, retrieval, and tool APIs into software you are building or already running, so it can use your data and existing systems.

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Free consultation. We reply within one business day.

What we integrate

Hands-on engineering to connect providers, your data, and your APIs.
LLM and provider APIs
Wire your application to OpenAI, Anthropic, Bedrock, Azure OpenAI, or other hosts with stable request/response patterns, errors, and timeouts.
RAG and search
Integrate embeddings, chunking, and vector or keyword search so generated answers ground in your documents, tickets, or records.
Tools and MCP
Expose internal APIs and third-party services as tools or MCP servers so agents and workflows can call what you already operate.
Auth, limits, and observability
Use your identity model, scope data access, add rate limits and logging, and separate dev/staging/prod keys like any other integration.

Questions

What teams ask before an AI integration starts.

No. Chat is one surface. We also integrate models into backends, batch jobs, admin tools, and existing UI flows wherever a language model or retrieval step belongs.

We can. New application development is custom app and web development, and the model, retrieval, and tool connections can be part of that engagement. If the software already exists, we add the integration to it. Keeping that system healthy afterward is often modernization and SLA support.

Yes. We prefer to integrate with the LLM accounts, databases, and APIs you already have, and recommend changes only when something blocks security, cost, or reliability.

Use the form on this page. Describe the user workflow, the systems involved, and what must stay private. We reply with what to connect first and a realistic integration scope.
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