LLMs that work in your product, not just in demos.
We design, build, and harden LLM-powered features for real enterprise environments.
We design, build, and harden LLM-powered features for real enterprise environments.
Rigorous benchmarking of GPT-4, Claude, Llama, Gemini, and open-source models against your specific use case and cost constraints.
Retrieval-augmented generation systems that ground LLM responses in your proprietary knowledge base — reducing hallucinations and keeping answers current.
Domain-adapted models trained on your data for tasks where general-purpose LLMs fall short on accuracy or tone.
Systematic prompt design, chain-of-thought frameworks, and few-shot optimization to maximize output quality and consistency.
Content filtering, output validation, and adversarial testing to prevent misuse and ensure enterprise-grade reliability.
Latency optimization, cost management, caching strategies, and fallback logic to make LLM features production-ready.
We recommend the right model for your use case — not the one that's most popular or the one we're partnered with.
We build evals before we build the system. Every LLM feature ships with a test suite that catches regressions.
Data residency controls, PII handling, and audit trails designed for regulated industries.
We've shipped LLM systems that handle millions of queries per month — we know where the failure modes are.
Tell us your use case and we'll share how we've solved similar problems.
What happens next