AI SYSTEMS
AI Systems
The interesting AI work is below the chat interface: evaluations, retrieval, prompt pipelines, training runs, monitoring. We build the systems that make your AI product predictable, debuggable, and fixable at 2 a.m. on a Tuesday.
WHAT IS INCLUDED
The work, in detail
01
LLMOps
Evaluation suites, observability, prompt versioning, rollout controls. The surface area between 'it works in the notebook' and 'it works in production'.
02
Chatbots and assistants
Production-grade assistants grounded in your data. Retrieval tuned on your documents, guardrails on your risk tolerance, not someone else's defaults.
03
Research infrastructure
Experiment tracking, dataset versioning, training orchestration. Built for teams that need to reproduce runs six months later.
04
Fine-tuning and training pipelines
From SFT on a hundred examples to multi-GPU runs on open-weights models. We pick the smallest lever that produces the outcome.
05
Retrieval and RAG
Beyond the default vector store. Hybrid retrieval, re-ranking, query rewriting, evaluation against ground truth.
06
Safety and evaluations
Eval sets that catch the failure modes you care about. Red-team passes for anything customer-facing.
IN PRACTICE
How this shows up in real engagements
WHAT AN ENGAGEMENT LOOKS LIKE
A shape we have used many times
Phase 1
Discover
Define the real task, the data, and the evaluation. Most AI projects fail because this step was skipped.
Phase 2
Build
Ship the smallest useful system first. Iterate on evals, not vibes.
Phase 3
Operate
Monitor in production, handle regressions when model providers change the ground underneath you.
ENGAGEMENT MODELS
How we structure the work
Specific numbers come from an intro conversation. The shapes below cover most of what we do.
Prototype to production
Scoped engagement from a working prototype to a deployed, monitored, evaluated system.
Research collaboration
For teams doing original AI work. We bring frontier-lab experience; you bring the domain.
Retainer
Monthly engagement for teams running AI in production who need a senior partner on call.
Ready when you are.
Tell us what you are trying to do. We reply within one business day.
Build something serious