From strategy to production — the full AI capability, under one accountable lead.
A Stanford-rooted Responsible AI lab that scopes, builds, and supports enterprise AI. Find where you are below — strategy, build, infrastructure, or staffing — every engagement is fixed-scope, shipped in your own cloud, with one lead who answers for it.
Sixteen ways we put Responsible AI into production for the enterprise.
Chat and voice assistants grounded in your data, wired to your systems, and built to hand off to a…
Autonomous, multi-step AI agents with governed tool use, staged autonomy, and human approval gates —…
AI automation that runs document, approval, and data-entry workflows end to end, with humans on the…
AI systems built to integrate with legacy stacks, govern at scale, and survive a multi-team rollout —…
Custom predictive models — forecasting, fraud, classification, recommendation, vision — trained on…
The operational layer that keeps your models alive in production — deploy, monitor, detect drift…
One trustworthy, owned data layer — pipelines, warehouse, quality, and BI — built in your own cloud…
We build the NLP that reads the text your business generates and makes it usable — validated against…
Copilots, RAG, and AI agents built on OpenAI, Claude, and Gemini — fixed scope, deployed in your own…
A CoE your team runs, not one you rent: we design it, stand it up, operate alongside you, then…
The software intelligence layer for physical AI: agent planning over machine fleets, telemetry…
Custom AI and ML scoped, built, evaluated, and shipped to production in your own cloud — fixed scope…
Generative AI that produces the output your business runs on — documents, content, code, images, and…
A prioritized, ROI-backed AI roadmap you can actually fund — where AI pays, what to build versus buy…
Vetted senior AI and ML engineers embedded in your team in 1–2 weeks — productive from the first…
A fixed-scope diagnostic that grades your data, use cases, tech, team, governance and ROI — so your…
Thirty minutes · No pitch deck
Bring the problem. We’ll tell you honestly what fits — strategy, a build, or a team — and what it takes to reach production.