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AI-Native Product Engineering
Designing and building AI features and products end to end: UX, architecture, models, and the plumbing between them.
Technology
Your customers now expect intelligence in the product and your investors expect AI in the roadmap. We help software companies embed AI into products, platforms, and engineering — with the rigor that separates production AI from demo AI.
40–55% more engineering output
The productivity range reported for AI-assisted development (benchmark, GitHub/industry research) — captured safely, with quality gates
Weeks from concept to shipped AI feature
An AI capability in your product, evaluated and in production [client data]
50–80% lower inference costs
Through model right-sizing, distillation, and optimization [client data]
99.9%+ reliability on AI features
With evaluation harnesses, guardrails, and observability built in [client data]
Our capabilities
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Designing and building AI features and products end to end: UX, architecture, models, and the plumbing between them.
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Production-grade RAG: chunking, embedding, hybrid search, and grounding that keeps answers accurate on your data.
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Systematic evals, regression testing for prompts and models, observability, and guardrails — the difference between demo and dependable.
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Domain-tuned and distilled models that beat frontier APIs on your task, at a fraction of the cost and latency.
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Rolling out coding AI across your teams with the review, testing, and security discipline that keeps velocity from becoming debt.
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Threat modeling, red-teaming, and compliance (EU AI Act, ISO 42001) for the AI you ship and the AI you use.
From strategy to impact
The Baseline Has Moved
From complexity to clarity.