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Artificial intelligence

AI that does real work.

Four practices, one studio. Each one goes deep on a specific problem. Pick the one that matches yours and read how we approach it.

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Practices

Four things we do inside AI.

Agentic Systems

Agents that plan, act, self-correct, and know when to stop. Built for real workloads with tool use, memory, and error recovery. Not happy-path demos that fall over on day two.

RAG Pipelines

Your LLM does not know what your business knows. We build retrieval pipelines that fix that: chunking, hybrid search, re-ranking, and evaluation so you know when quality drifts.

Workflow Automation

Manual steps you repeat every day are recoverable time. We automate them with n8n, connecting your stack without writing a full backend from scratch, so the boring work runs itself.

Multimodal Systems

LLMs now see, hear, and read documents. We wire that into products that take real inputs: voice queries, scanned forms, image analysis, structured output from unstructured sources.

Click any card to go deep.