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Citadel AI

AI governance platform that evaluates, reviews and monitors AI systems for enterprises in regulated sectors.

🇯🇵 Bunkyo, Tokyo · Founded 2020 · 11–50 people

Series AAI governanceAI safetyAI testing and evaluationMLOpsEnterprise software

Citadel AI is a Tokyo startup founded in December 2020 that builds software to test, govern and monitor AI systems. Its platform covers the AI lifecycle, from risk evaluation before release to real-time guardrails in operation. It supports generative AI and machine learning models and maps checks to standards and rules such as ISO AI standards, the EU AI Act and Japan's AI Guidelines for Business. The company was co-founded by Hironori Kobayashi (CEO) and Kenny Song (CTO), a former Google Brain product manager.

Open to

  • Customers & pilots
  • Hiring

The site invites demo requests for all three products. The careers page lists AI Research Engineer and Backend & Cloud Engineer roles and accepts general applications, while noting it is not actively hiring for specific roles.

Products

ProductLive

Citadel Lens

Evaluates AI systems before release to reduce risk and improve performance.

Who it's for: Engineering and risk teams in sectors such as finance, pharmaceuticals and manufacturing

  • Automated evaluation for hallucination, toxicity and jailbreaks, plus automated red teaming
  • Robustness and bias testing for machine learning models, with human review in the loop
  • Compliance reports against AI laws and standards; runs as SaaS, in customer cloud or on-premises
ProductLaunched May 2026

Citadel Lens Governance

Pre-deployment reviews and a central inventory of a company's AI assets.

Who it's for: Business units applying for AI approval, risk and compliance reviewers, and executives

  • Role-based review and approval workflows
  • Company-wide AI inventory with usage and risk assessments
  • Lens Safety Dataset covering 11 risk categories, plus custom criteria written in natural language
ProductLaunched June 2026

Citadel Radar

Real-time firewall that checks the inputs and outputs of generative AI applications.

Who it's for: Organisations running generative AI, including business, operations, risk and compliance teams

  • Detects confidential data input, prompt injection, jailbreaks, hallucinations and harmful content
  • Block or flag risky responses before they reach users
  • Real-time dashboard with alerts and role-based access

Customers

Customers are large organisations in manufacturing, healthcare and pharmaceuticals, finance, automotive and transportation, and government. AI auditors and certification bodies also use the tools.

Traction

Updated Oct 2026
¥520MSeries A raised in 2023
3products on the market
11risk categories in its safety dataset

Funding

Undisclosedtotal raised
  • Seed2021Led by UTokyo IPC and ANRI¥100 million
  • Series A2023¥520 million
InvestorsUTokyo IPCCoral CapitalANRISuntory HoldingsMitsubishi UFJ Capital

Team