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Jinba

Active

Automate enterprise workflows through chat

Winter 20262 people
AI insightcan contain mistakes
Agentic Workflow AutomationSaaSEnterprise teams, financial institutionsHigh competition
Moat
Plain-language interaction bypasses drag-and-drop; embedded permissions and audit logging for financial compliance; 40k enterprise users create sticky deployment.
Key risk
Competing against UiPath, Automation Anywhere, and emerging LLM-native competitors; enterprise sales cycles long.
Why now
LLM maturity makes conversational automation viable; enterprises actively shifting from legacy RPA to AI agents.
Competitors
UiPath, Automation Anywhere, Zapier, Make

About

Jinba lets enterprise teams vibe-code AI workflows instead of drag and drop. Describe what you need in plain language, and your whole company can start using it immediately. No engineers required. Enterprise-grade permissions, audit logging, and on-prem deployment built in. We serve 40,000 enterprise users at major financial institutions. Build something your colleagues want.

Founders ยท 2

Shoya Matsumori
Shoya MatsumoriFounder

๐Ÿ‡ฏ๐Ÿ‡ต Ph.D. in CS / Co-Founder & CEO @ Jinba

Takuya Norisugi
Takuya NorisugiFounder
McKinsey

prev McKinsey manager / Co-Founder & COO @ Jinba

Launch

Launched on Y Combinator ยท Feb 2026
View launch post โ†—

Used by over 40,000 enterprise users at Fortune Global 500 companies

Jinba enables enterprises to build AI workflows through chat without engineering, deploying as MCPs with one click and offering on-prem deployment. It targets Fortune Global 500 companies across regulated industries, delivering enterprise-grade security, access control, and audit trails to move ideas to production quickly.

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