Design, build, and deploy production-grade LLM applications — grounded, governed, and built for real users.
A prompt becomes context, runs through a model, and streams back a grounded answer. Tap a stage.
We design and build custom LLM-powered applications end to end — from prompt architecture and orchestration to evaluation harnesses and production deployment. Our work spans chat assistants, internal copilots, document intelligence, and customer-facing generative experiences.
We're platform-agnostic — OpenAI, Anthropic, Llama, Mistral, open-weight — and choose the stack that fits your latency, cost, data-residency, and compliance needs, not the other way around.
Structured prompting, context windows, and tool-use design tuned to your domain.
Reliable chaining, function calling, and routing across one or many models.
Automated evals so quality is measured, not guessed — before and after launch.
Streaming UX, scaling, and cost controls for a real, reliable product.
From internal copilots to customer-facing experiences — grounded and governed.
Domain assistants and internal copilots that actually know your business.
Extraction, classification, and Q&A over contracts, tickets, and knowledge bases.
Generative experiences your users trust — fast, on-brand, and safe.
Turning messy text into reliable, structured, downstream-ready data.
Adapting models to your domain when prompting and RAG aren't enough.
Eval suites and output controls that keep quality and safety measurable.
Demos are easy; dependable products are the hard part — that's where we focus.
RAG and retrieval keep answers tied to your authoritative data, cutting hallucinations.
Model routing, caching, and right-sizing so it's fast and affordable at scale.
Open-weight and private deployment options when data can't leave your walls.
Review and approval where the stakes are high — autonomy where they're not.
Lean MVPs for founders, hardened platforms for enterprises — same team.
Evals and monitoring so you can prove the system is good, not just hope it is.
Modern prompt, orchestration, and evaluation engineering.
The right models and frameworks for your constraints — never one-size-fits-all.
Define the job, users, and what 'good' means in measurable terms.
Architect prompting, context, and tool use for your domain.
Wire the app into your data and systems with reliable orchestration.
Run evals, add guardrails, and tune cost and latency.
Ship with streaming UX and keep quality and spend under watch.
Consultation is free. Tell us what you want it to do — we'll build it grounded and governed.
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