Let’s scope
something real.

Enso Labs is principal-led. Sav is the senior advisor on every engagement and is hands-on through delivery. A vetted specialist network — design, ops, niche engineering — scales with the work. Strategy and architecture are never subcontracted.

A written roadmap, a prioritized opportunity backlog, an ROI model, a governance gap-map, and a working agentic prototype against your real data. Fixed-fee, scoped before we start.

Most engagements are in regulated industries: pharma (FDA / MLR / PRC), financial services, healthcare. Governance is built into every engagement, anchored on NIST AI RMF.

Yes. The Trading Terminal proves the build-only model. If you have a clearly-scoped agentic system that needs shipping, send the brief.

You do. Client engagements transfer all custom code, prompts, eval suites, and documentation on delivery. Frameworks like the Strategy-to-Ship Framework remain Enso Labs IP.

A small handful of active deep engagements at a time. That’s the whole point — depth, not portfolio. If the studio is at capacity, you’ll hear so directly with a future date.

You can book a 30-minute call directly from the contact page, or send a short message through the form. Founder Sav Banerjee replies within 24 hours. The studio is based at 31 Union Square West in New York City and works with enterprises and agencies.

The first call is a 30-minute conversation about what you are trying to ship and whether AI belongs in it. If there is a fit, the usual next step is a fixed-fee two-week diagnostic that delivers a roadmap, an opportunity backlog, an ROI model, a governance gap-map, and a working prototype.

Bring one workflow you want improved, who owns it, and how you would measure success. That is enough for Enso Labs to tell you whether an agent is the right answer. Data access, tooling, and governance questions are covered in the two-week diagnostic, which is scoped and priced before it starts.