AIUC Raises $40M Series A to Build AI Risk Infrastructure for Enterprises

Artificial Intelligence Underwriting Company (AIUC) has raised $40 million in Series A funding to expand its standards, auditing and insurance infrastructure for artificial intelligence systems as enterprises increasingly deploy AI agents and frontier models.

The Series A was led by Ribbit Capital, with participation from First Harmonic. The financing follows AIUC's $15 million seed round led by NFDG, bringing the San Francisco-based company's total funding to $55 million.

AIUC plans to use the new capital to expand beyond its initial focus on AI agents and develop its testing, certification and insurance framework for frontier AI models.

Building an Independent AI Risk Layer

As enterprises move AI systems from experimentation into production, companies face a growing challenge: determining whether an AI system is secure, reliable and suitable for use with sensitive business data and critical workflows.

AIUC is positioning itself as an independent layer between AI developers and enterprise customers. Its platform is designed to provide evidence about how AI systems perform against security, safety and reliability risks before organizations deploy them at scale.

The company initially focused on AI agents, which can interact with enterprise systems, access sensitive information and perform tasks with reduced human supervision.

Its next phase will extend the same approach to the underlying frontier models that power these applications.

AIUC-1 Standard for AI Agents

AIUC has developed AIUC-1, an industry-driven standard for evaluating AI agents.

Companies using the certification include Cursor, ElevenLabs, Harvey, KPMG, Lovable, UiPath and Fin.

The standard evaluates AI systems against risks including jailbreaks, hallucinations and data leaks. AIUC says its testing framework uses approximately 5,000 risk and attack combinations tailored to different business environments.

Rather than treating certification as a one-time assessment, AIUC independently audits and recertifies agents every quarter. This is designed to account for changing models, software environments and emerging attack methods.

More than 250 security and risk executives from Fortune 1000 companies participate in the AIUC Consortium, helping shape the standard and its enterprise adoption.

Founders With AI and Insurance Experience

AIUC was founded by Rune Kvist and Rajiv Dattani.

Kvist was Anthropic's first product hire, while Dattani previously worked as a partner in McKinsey's insurance practice and served as chief operating officer of METR.

The founders' thesis is that as AI capabilities improve, the challenge for enterprise adoption is increasingly shifting toward risk evaluation and operational confidence.

AI agents can now write production code, perform legal work and manage customer interactions. This means enterprises need to assess not only whether an AI system performs its intended function, but also how it behaves when exposed to attacks, unusual inputs or situations outside its expected operating conditions.

Combining Standards, Auditing and Insurance

AIUC's model combines technical testing with independent auditing and insurance.

The company compares its approach with Underwriters Laboratories, which helped establish standardized testing and certification for electrical products as those technologies became more widely adopted.

The idea is to create a common framework for AI risk assessment instead of requiring every enterprise and AI vendor to build separate testing processes.

Insurance adds another layer by connecting technical risk assessments with the financial consequences of AI failures.

$40M to Expand Into Frontier AI Models

The new Series A funding will support additional audits, standards and insurance capabilities as AIUC expands its framework toward frontier AI models.

Ribbit Capital founder and Managing Partner Micky Malka said trust is becoming increasingly important as AI adoption moves faster than traditional corporate evaluation systems.

With $55 million raised to date, AIUC now has additional resources to expand its certification ecosystem and build relationships across AI developers, enterprise buyers, security teams, auditors and insurers.

As AI systems become more capable and increasingly integrated into business operations, AIUC is building infrastructure aimed at helping organizations evaluate security, reliability and financial risk before moving AI deployments into production at scale.