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AI App Development

LLM-powered products that actually work in production.

RAG, agents, computer vision and fine-tuned models — wrapped in real product UX, with evals, guardrails and cost controls.

Capabilities

What we deliver

  • RAG pipelines with chunking, embeddings and re-ranking
  • Agentic workflows with tool use, memory and human-in-the-loop
  • Computer vision for detection, OCR and document understanding
  • Evals, prompt versioning and continuous quality monitoring

Stack

Tools we reach for

OpenAI Anthropic Gemini LangChain LlamaIndex pgvector Pinecone

Outcomes

What clients see

10x
Faster workflows for operator teams
<2%
Hallucination rate on grounded answers
Evals
Every release gated by automated scores

Process

How we engage

  1. Step 1
    Problem fit

    Decide where AI is the right answer — and where it isn't.

  2. Step 2
    Prototype

    Working demo on real data in two weeks.

  3. Step 3
    Productionize

    Evals, caching, rate limits, cost controls and UX.

  4. Step 4
    Operate

    Monitor quality, drift and cost in dashboards.

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Ready to ship ai app development?

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