Enso Labs builds custom AI products that turn disparate data into decision intelligence. From stakeholder research to shipped system — for companies across healthcare, finance, manufacturing, media, and B2B tech.
↳ decision intelligence, shipped as products
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.
It starts with research — stakeholder interviews, data and workflow audits, AI-readiness assessment — to frame the decision the system must make and the roadmap to get there, across healthcare, finance, manufacturing, media, and B2B tech.
Then we build the custom AI product — agent architecture, RAG, MCP integrations, and workflow automation — engineered against your real data and shipped end-to-end by a principal-led team.
The shipped intelligence system, running in production — financial AI agents, autonomous trading, and real-time signal intelligence, built on the same Claude infrastructure that Goldman Sachs, Citi, and JPMorgan now adopt. Brokerage API integration and MCP-connected agents. 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.
Have a system that needs to ship? Let's talk.
