Thirteen years of shipping complex software informs how we package AI engagements today. Each one has a clear scope, timeline, and deliverable. You always know what you're buying — and when it ships.
Know exactly where AI pays off in your business.
A focused two-week engagement where we map your workflows, data, and systems, then deliver a prioritized roadmap of AI opportunities ranked by ROI and feasibility.
Leaders who know AI should be on the roadmap but want rigor on what to build first.
From prototype to production in weeks, not quarters.
We design and ship custom LLM applications — agents, copilots, or assistants — end to end. Evaluation, guardrails, observability, and CI baked in from day one.
Teams with a validated use case ready to ship a defensible AI product.
Turn scattered documents into a reliable answer engine.
We build retrieval-augmented systems that actually answer questions accurately — the right chunking, retrievers, rerankers, and evaluation for your corpus and domain.
Companies sitting on large internal knowledge bases, support docs, or regulatory corpora.
One week. Your leadership aligned on an AI bet.
An intensive sprint with your executive team to pressure-test an AI thesis, competitive positioning, and investment plan. You leave with conviction and a decision memo.
CEOs, CTOs, and product leaders making a cross-company AI investment decision.
Your embedded AI team, without the 9-month hire cycle.
A senior, cross-functional pod — ML engineering, applied research, product, and design — embedded with your team on a monthly retainer. Ship a portfolio of AI features, compound learning.
Scale-ups without an internal AI team who need to move on multiple AI initiatives in parallel.
A lot of our best work starts as a 30-minute call where we argue about what the right engagement actually is.
