AI/ML
Fintech/Payments
Security

Artificial Intelligence Underwriting Company

AI-agent assurance, testing, certification, and insurance

CORE INFO

$40M
Total Funding
Series A
Round
2024
Founded
~39 employees
Team Size
San Francisco, CA
Headquarters

Artificial Intelligence Underwriting Company (AIUC) helps companies that build or deploy AI agents assess and reduce risks such as data leakage, unsafe actions, hallucinations, and reliability failures. Its services combine AIUC-1 certification, adversarial testing, third-party audits, and liability insurance tied to technical and operational evidence.

  • Series A: $40 million led by Ribbit Capital, with First Harmonic participating; announced September 15, 2026.techcrunch.com
  • Testing scale: AI agents are evaluated against approximately 5,000 scenarios or risk-and-attack combinations, including jailbreaks, hallucinations, and data leaks.techcrunch.com
  • TechCrunch reported that AIUC's consortium includes approximately 250 security and risk leaders and that the company has publicly named customers including Cursor, Lovable, Harvey, and ElevenLabs.techcrunch.com

WHY WE WOULD WORK AT ARTIFICIAL INTELLIGENCE UNDERWRITING COMPANY

Underwrite Superintelligence

Help build the confidence infrastructure needed to make advanced AI safer, more accountable, and deployable. AIUC's mission connects frontier technology with standards, audits, and insurance.

Shape AIUC-1

Work on AIUC-1, a living standard covering privacy, security, safety, reliability, accountability, and societal impact. Its quarterly updates keep pace with new capabilities, regulations, and attack methods.

Test the Frontier

Design and analyze adversarial evaluations spanning jailbreaks, prompt injection, hallucinations, data leakage, and unsafe tool calls. AIUC's testing can cover roughly 5,000 risk-and-attack combinations per agent.

Learn With Experts

Join a team combining experience from Anthropic, OpenAI, METR, Allianz, and McKinsey Insurance. Collaborate across frontier AI, security, risk management, standards, and insurance.

Build With Momentum

Help scale a company that has raised $55 million, including a $40 million Series A led by Ribbit Capital. Publicly certified customers include Cursor, ElevenLabs, Harvey, KPMG, Lovable, UiPath, and Fin.

Impact Enterprise AI

Your work can influence how coding, voice, customer-service, legal, and automation agents enter the real world. AIUC-1 has already supported deployments across companies such as Cursor, ElevenLabs, KPMG, and UiPath.

MARKET AND TRACTION

GROWTH TACTICS

  • Expands adoption through the AIUC-1 standard, adversarial testing, third-party audits, certification, and AI-agent liability insurance.

  • Builds distribution through accredited audit firms and an ecosystem involving security and risk leaders, technology companies, insurers, and enterprise buyers.
  • MARKET POSITION

  • AIUC positions itself as confidence infrastructure for enterprise AI agents, combining standards, technical evaluations, certification, and insurance rather than offering a standalone testing product.

  • Its target market spans AI software vendors, enterprise software companies, customer-service and voice-AI providers, legal technology, automation, consulting, finance, healthcare, and government organizations.
  • NOTABLE CUSTOMERS

  • Publicly associated or certified organizations include Cursor, ElevenLabs, Harvey, KPMG, Lovable, UiPath, Intercom's Fin, and Ada.

  • Examples span coding agents, voice AI, legal technology, consulting, enterprise automation, and customer-service applications.
  • KEY METRICS

    ✦ KEY METRIC
  • AIUC announced a $40 million Series A led by Ribbit Capital, following a previously reported $15 million seed round.

  • AIUC-1 was developed with more than 250 security and risk leaders, and some evaluations cover approximately 5,000 risk-and-attack combinations.

  • Publicly reported certification work includes more than 900 tests for KPMG's aIQ Capture platform and more than 2,000 evaluations for UiPath's agents and automation platform.
  • SERVICES

  • AIUC provides AI-agent testing and red-team evaluations covering risks such as jailbreaks, prompt injection, hallucinations, data leakage, unsafe tool calls, harmful outputs, reliability failures, and privacy or intellectual-property issues.

  • The company supports AIUC-1 certification through technical, operational, legal, and governance assessments, and enables liability insurance intended to reflect documented AI-system risk.
  • PRODUCT AND TECH

    AIUC-1 Standard

    AIUC's core assurance standard covers data and privacy, security, safety, reliability, accountability, and societal impact for enterprise AI agents. It maps to frameworks including NIST AI RMF, the EU AI Act, MITRE ATLAS, ISO 42001, and OWASP guidance.

    Adversarial Agent Testing

    AIUC evaluates agents through red-team testing for jailbreaks, prompt injection, hallucinations, data leakage, harmful outputs, reliability failures, and unsafe tool calls. Testing can involve approximately 5,000 risk-and-attack combinations tailored to the agent and business context.

    Certification And Audits

    AIUC coordinates AIUC-1 certification through technical evaluations, governance reviews, and third-party audits conducted by accredited firms. The process provides evidence that an agent's technical, operational, legal, and accountability controls meet defined requirements.

    AI-Agent Insurance

    AIUC enables liability coverage for losses linked to AI-agent behavior, including data exposure, incorrect information, harmful content, IP infringement, and unsafe external actions. Insurance pricing is intended to reflect technical and operational risk evidence from testing and certification.

    Risk Evaluation Analytics

    AIUC uses AI agents to help execute evaluations and AI systems to analyze testing data, with humans verifying final audit results. This approach produces detailed risk evidence to support certification, enterprise adoption, and insurance underwriting.

    COMPANY CULTURE

    Values

  • Underwrite Superintelligence

  • Progress requires security

  • Shape incentives to promote responsible AI

  • Use markets to help govern AI
  • Operating Principles

  • Combine standards, audits, testing, and insurance

  • Ground risk decisions in technical and operational evidence

  • Update AIUC-1 quarterly as threats and regulations evolve

  • Balance automated evaluations with human verification
  • Work Style

  • Mission-oriented and high-intensity

  • Cross-functional work across frontier AI, safety, insurance, security, and regulation

  • Enterprise-focused and evidence-driven

  • Based in San Francisco
  • Team Background

  • Team experience spans Anthropic, OpenAI, METR, Allianz, and McKinsey Insurance

  • Combines frontier-AI expertise with traditional risk and insurance knowledge

  • Works with security leaders, auditors, researchers, and enterprise technology companies
  • Learning And Growth

  • Exposure to emerging AI-agent risks and frontier-model governance

  • Opportunities to shape a rapidly evolving industry standard

  • Work spanning adversarial testing, certification, underwriting, and enterprise adoption

  • Careers messaging emphasizes doing your "life's work"