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Enso Labs

AI transformation consulting, agentic systems, and financial AI. Strategy to Ship. Principal-led, NYC.

Technology, Information and Internet
New York City, US
2 employees
Founded 2020
4 public signals

About Enso Labs

Enso Labs is a principal-led AI transformation studio based in New York. We help enterprise teams close the gap between AI strategy and shipped production systems. Most AI consulting engagements end with a deck. Ours end with a running system. The studio was founded by Sav Banerjee — a 15-year enterprise strategist turned agentic-systems builder. Former VP/Director at Google, McCann, Publicis, RAPP, Y&R, and BBDO, managing $150MM+ portfolios across finance, healthcare, and technology. Every engagement is led by the same senior advisor who also builds. No hand-offs, no translation layers. Three integrated service tracks: → AI Transformation Consulting — Strategy, roadmaps, AI readiness assessments, executive workshops, ROI modeling, and responsible-AI governance. NIST AI RMF compliant. → Agentic Systems & Products — Production agent architecture (LangGraph, CrewAI, Claude API, MCP), RAG knowledge systems, workflow automation, AI Centers of Excellence. Shipped end-to-end. → Financial AI & Trading Intelligence — Autonomous trading systems, market intelligence platforms, MCP-connected brokerage integration, signal processing. We build with the same Claude infrastructure that Goldman Sachs, Citi, and JPMorgan are now adopting. Client outcomes: → Fortune 500 manufacturer: AI intelligence platform — 731 documents processed, 16 validated commercial signals, go/no-go milestone delivered → Pharma agency: AI Center of Excellence — campaign launches from 3 months to 2 weeks, 75% pilot-to-production → Enso Trading Terminal: autonomous financial AI running in production since 2025 75% pilot-to-production · 3-month time-to-first-value · 20+ AI systems shipped Certified: Anthropic (Claude) · Google AI · OpenAI Perplexity AI Business Fellowship Winner ensolabs.ai

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Signals from Enso Labs

4 published signals

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