Consulting

We help teams design and deploy production LLM systems—RAG, agents, evaluation, and operationalization. Engagements are structured to be fast, measurable, and easy to integrate with your existing engineering team.

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Packages

Engagements

LLM Strategy Sprint

2 weeks
  • Use-case prioritization + ROI framing
  • Data readiness + risk review (privacy, security, compliance)
  • Architecture + roadmap with clear milestones

RAG / Agent MVP

4–6 weeks
  • Working prototype (reference-quality)
  • Evaluation harness + test set
  • Deployment plan + handoff to your team

Production Hardening

2–4 weeks
  • Evals + monitoring + regression tests
  • Latency/cost optimization
  • Guardrails + reliability improvements

Fractional AI Lead

Monthly
  • Weekly advisory + architecture reviews
  • Model/vendor selection support
  • Hiring + training guidance
Process

How we work

  1. Step 1
    Discovery
    Scope, success metrics, constraints, and team workflow.
  2. Step 2
    Implementation
    Ship iteratively with an evaluation-first loop.
  3. Step 3
    Operationalize
    Monitoring, documentation, and handoff (or ongoing support).

FAQ

Do you sign NDAs?
Yes. We’re happy to work under NDA and follow your security policies.
Do you work with our stack?
Yes—Python/TypeScript, cloud, and modern data stacks. We adapt to your tooling.
Do you build or just advise?
Both. Many engagements mix hands-on implementation + coaching.
Can you train the team?
Yes—training can be bundled to accelerate adoption and handoff.
Book a 30‑min consult