Retrieval-augmented generation systems that ground LLM responses in your proprietary data — with chunking strategies, embedding models, and vector stores optimized for your use case.
Smart summarization, document intelligence, copilot experiences, and AI-assisted workflows integrated directly into your product.
Production-grade prompt pipelines with evaluation frameworks, versioning, and automated testing — not ad-hoc prompt tweaking.
When foundation models aren't enough, we fine-tune on your domain data to improve accuracy, reduce hallucination, and lower inference costs.
Extract, classify, and summarize information from unstructured documents — contracts, invoices, medical records, legal filings.
Build context-aware chatbots and assistants that understand your domain, maintain conversation state, and escalate appropriately.
Replace keyword search with AI-powered semantic understanding. Find what users mean, not just what they type.
Automated content creation with brand voice consistency, factual grounding, and human review workflows.
Automated eval pipelines that measure accuracy, latency, cost, and user satisfaction — so you know your AI actually works before users do.
Model routing, caching, and prompt optimization to keep inference costs predictable as you scale.