Jinba

Automate any enterprise workflow through chat

Winter 2026ActiveB2B

Company

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.

Verdict

High Signal

Market Opportunity

Enterprise workflow automation is a massive, well-established market — Gartner estimates $26B+ in intelligent process automation by 2025. ICP is clear: Fortune Global 500 in banking, insurance, and manufacturing needing AI-native workflow tools with compliance/on-prem requirements. B2B enterprise with usage-based credits pricing is a proven monetization model.

Medium Signal

Founder Signal

Shoya Matsumori holds a Ph.D. in CS from Keio University (early completion), published at ICCV, and has been building Carnot Inc. since June 2023 — real technical depth. Takuya Norisugi brings ~6 years at McKinsey (Business Analyst through Engagement Manager) plus a part-time ML engineering role (EEG/deep learning at PGV 2018-2019) — operationally strong but primarily consulting-track. The combination of a technical PhD founder + McKinsey operator is solid, though neither has a prior exit and Norisugi's engineering depth is thin.

Low Signal

Competition

The space is crowded with well-funded incumbents: n8n, Zapier, Make (Integromat), Microsoft Power Automate, and Retool all compete directly. AI-first workflow builders like Relevance AI and Stack AI target similar enterprise use cases. The 'vibe coding' angle is differentiated messaging but not a durable moat — any of these players can add natural language interfaces, and several already have.

Medium Signal

Product

Live product with pricing page, docs, API/MCP deployment, on-prem hosting, audit logging, and 100+ integrations. Claims 40,000 enterprise users at Fortune Global 500 financial institutions and manufacturing companies, but no named customer logos, no specific revenue figures, and testimonials are from individuals without recognizable company names. Website is substantive with use case detail (loan screening) but traction claims are unverified.

OverallB Tier

Jinba has a real, live product with meaningful enterprise features (on-prem, audit logging, SSO, RBAC) and claims 40,000 users at Fortune 500 companies — if true, that's strong traction for a W26 company. The technical founder (CS PhD, ICCV publication) gives credibility and the McKinsey COO adds enterprise sales muscle. The core problem is the market: workflow automation is brutally competitive with entrenched players like Zapier, n8n, Power Automate, and multiple AI-first entrants already fighting for the same ICP. The 'natural language to workflow' pitch is compelling but replicable. Jinba needs to show defensible enterprise contracts with ARR numbers, not just user counts, to prove it can hold ground against better-funded competitors.

Active Founders

Shoya Matsumori

Founder

🇯🇵 Ph.D. in CS / Co-Founder & CEO @ Jinba

Takuya Norisugi

Founder

prev ML Engineer and prev McKinsey manager

Jinba

TierB Tier

BatchWinter 2026

Team Size6

StatusActive