Build, evaluate, and operate GenAI solutions in production
We design and ship generative AI applications that solve real business problems — not demos. From retrieval-augmented systems to document automation to internal copilots, we cover the full path from prototype to a governed production system.
Grounded GenAI applications that combine LLMs with your data — built with the retrieval, ranking, and observability that determine whether they work in production.
Document ingestion and chunking pipelines for messy enterprise data
Hybrid search with dense vectors and BM25 / keyword retrieval
Reranking, citation, and answer-grounding patterns
Latency and cost tuning, caching, and structured outputs
Internal copilots and assistants
Domain-tuned assistants for support, sales, ops, and back-office teams. We design the interface, the agent loop, and the integrations that make them useful day one.
Conversational interfaces in Slack, Teams, web, and email
Tool-use integrations with your CRM, ticketing, and data platforms
Role-based access controls and audit logging
Feedback loops that improve the assistant over time
Document automation
Extract, classify, summarize, and act on unstructured documents at scale — contracts, claims, invoices, reports.
OCR, layout understanding, and multimodal extraction
Schema-validated structured output via constrained decoding
Human-in-the-loop review queues for low-confidence cases
Integration with downstream systems of record
Evaluation, safety, and guardrails
We build the evals before the model — and the guardrails before the launch. Production GenAI without these is theater.
Task-specific eval suites and golden datasets
LLM-as-judge and human evaluation workflows
Prompt injection, jailbreak, and PII red-teaming
Runtime guardrails, content filtering, and policy enforcement
How we work with you
Engagement shapes
Three typical ways we engage on generative ai — adapted to your scope, timeline, and team.
4–6 weeks
GenAI Prototype
Working prototype for a single use case, with eval suite and deployment plan.
8–16 weeks
Production GenAI Build
Full production system with retrieval, evals, guardrails, monitoring, and handover.
Ongoing
GenAI Managed Service
We operate the system: monitoring, drift detection, prompt and retrieval iteration, model updates.
Tools & technologies
Built on what your teams already know
We work with industry-standard tooling and open standards — no proprietary lock-in.
Model providers
Anthropic ClaudeOpenAIGoogle GeminiMistralCohereopen-weight models on AWS / Azure / GCP
Share the shape of your initiative and we'll respond within one business day with a tailored point of view — and the names of the senior people who would lead the work.