For technical teams

Architecture behind the outcome.

The implementation is chosen for the problem, not from a mandatory tool stack.

LLM & generative AI

Model APIs, structured generation, tool use, context design, model routing and open models when appropriate.

Agents & orchestration

State machines, memory, human approval, bounded retries, idempotency and event-driven workflows.

Knowledge & search

Retrieval, metadata, citations, permissions, reranking and answer evaluation.

Voice & audio

TTS, STT, multilingual narration, pronunciation, timestamps, speech alignment and audio QA.

Vision & documents

Image understanding, OCR where useful, extraction, classification and validation.

Full-stack engineering

Web/mobile experiences, APIs, databases, asynchronous workers and deployment.

Production controls

Evaluations, monitoring, usage budgets, caching, fallbacks, provider portability and access boundaries.

A useful next step

Bring us the problem.
We build the system.

You do not need a technical specification. Tell us what happens today and what you want to change.

Tell us the problem

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