Enso Labs is a principal-led AI transformation consulting firm, agentic systems studio, and financial AI agent lab in New York City. Founded by Sav Banerjee, we architect enterprise AI strategy for Healthcare, Finance, and B2B Tech — then build and ship the production systems that deliver it.
↳ 75% pilot-to-production · 3-month time-to-first-value
Enso Labs is a principal-led studio founded by Sav Banerjee — a 15-year enterprise strategist turned agentic-systems builder.
Every engagement is led by a senior advisor who also builds. Our specialist network scales with the work — no bloated teams, no hand-offs.
We run the same infrastructure we build for clients: the Enso Trading Terminal runs autonomous signal intelligence, multi-agent research, and brokerage execution in production — twenty-four hours a day.
Strategy, roadmaps, AI readiness assessments, executive workshops, and responsible-AI governance for healthcare, finance, and B2B tech enterprises.
Production agent architecture, workflow automation, custom AI products, and AI Centers of Excellence — shipped end-to-end by a principal-led team.
Production financial AI agents and autonomous trading systems. We build with the same Claude infrastructure that Goldman Sachs, Citi, and JPMorgan are now adopting — brokerage API integration, MCP-connected trading agents, and real-time signal intelligence. Anthropic Certified.
Pulled from live enterprise engagements and the Enso Trading Terminal. No vanity metrics.
Daily AI intelligence for marketing strategists. Powered by Enso Labs.
LangChain ships deep agents — a batteries-included harness that bundles sandbox, memory, skills, and human-in-the-loop into a single open-source library.
→Google I/O 2026 ships Managed Agents API, Gemini Omni, Antigravity 2.0 — collapsing six weeks of agent harness engineering into a single API call.
→Claude Partner Network launches with $100M commitment. Boutique implementation partners with production deployments gain enterprise access.
→AI-search referral traffic now exceeds organic Google for 18% of B2B sites tracked. AEO-optimized brands see 3.4× lift vs. non-optimized peers.
→↳ Updated every weekday morning, ET
Read daily signals → InsightsFour phases. Principal-led delivery. Designed so a Fortune 500 pilot doesn’t die in the lab.
AI maturity assessment, technical discovery, stakeholder mapping. We measure where you actually are — not where the deck says you are.
Roadmap, business case, governance frame, and the production architecture. We design for shipping — not for the deck.
Agent architecture, RAG, MCP, integrations. The advisor and the build team work as one unit — so nothing gets lost in translation.
Center of Excellence, enablement cohorts, governance handoff. We engineer ourselves out of the org — by design.
Two-week diagnostic, fixed-fee. You get a written roadmap and a working agentic prototype.
