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.
Packages
Engagements
LLM Strategy Sprint
2 weeks- Use-case prioritization & ROI framing
- Data readiness and 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 and handoff to your team
Production Hardening
2–4 weeks- Evals, monitoring, and regression tests
- Latency/cost optimization
- Guardrails & reliability improvements
Fractional AI Lead
Monthly- Weekly advisory and architecture reviews
- Model/vendor selection support
- Hiring and training guidance
Process
How we work
- Step 1DiscoveryScope, success metrics, constraints, and team workflow.
- Step 2ImplementationShip iteratively with an evaluation-first loop.
- Step 3OperationalizeMonitoring, 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 and coaching.
Can you train the team?
Yes—training can be bundled to accelerate adoption and handoff.