Artificial Intelligence Underwriting Company

What Artificial Intelligence Underwriting Company does

Artificial Intelligence Underwriting Company (AIUC), operating as Caliber Labs, PBC, is a San Francisco-based standards and insurance company founded in 2025 by Rune Kvist (former Anthropic product lead and Center for AI Safety board member) and Rajiv Dattani (former McKinsey insurance partner and ex-COO at METR). The company addresses enterprise AI adoption friction by certifying AI agents against AIUC-1, a proprietary security, safety, and reliability standard that covers six risk categories (data and privacy, security, safety, reliability, accountability, and societal impact) with 50-plus technical, operational, and legal controls validated through quarterly adversarial testing of 1,000 to 5,000-plus scenarios derived from real-world AI failures.

The core product is AIUC-1 certification, which operationalizes frameworks including ISO 42001, NIST AI Risk Management Framework, MITRE ATLAS, and OWASP Top 10 for LLMs, with technical evaluations delivered alongside Schellman as the first authorized auditor. The second product line is AI agent insurance, with policies up to $50 million per policy backed by Lloyd's of London, covering AI-specific risks such as hallucinations, jailbreaks, data leakage, and brand damage. Together, the certification and insurance bundle forms a 'confidence infrastructure' that AIUC positions as a SOC 2-equivalent for AI agents, transforming security from a procurement blocker into a competitive differentiator for AI vendors.

AIUC's business model combines enterprise-quoted annual subscription certification fees with recurring insurance premiums, sold primarily through direct enterprise sales and the Schellman audit channel. The customer base on the supply side consists of AI agent providers (ElevenLabs, Intercom, UiPath, Ada, Fieldguide, Alpharun), while the demand side consists of Fortune 1000 CISOs, security leaders, legal teams, and procurement functions evaluating AI deployments. The company raised a $15 million seed round in July 2025 led by Nat Friedman, with participation from Emergence, Terrain, an Anthropic co-founder, and former CISOs at Google Cloud and MongoDB, and operates with 1-10 employees from its San Francisco headquarters.

Name

Artificial Intelligence Underwriting Company

Legal name

Caliber Labs, PBC

Website

https://aiuc.me

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

AIUC is a San Francisco-based standards and insurance company founded in 2025 that certifies AI agents against its AIUC-1 security standard and underwrites AI agent insurance policies up to $50M backed by Lloyd's of London, serving AI agent providers and Fortune 1000 enterprises.

Ownership category

akta.pro rank

Product category

AI Agent Security Certification & Insurance

NAICS

Insurance Carriers (5241), Direct Insurance (except Life, Health, and Medical) Carriers (52412), Other Insurance Related Activities (52429), Insurance Carriers and Related Activities (524)

SIC

Insurance Carriers, Nec (6399), Insurance Agents, Brokers & Service (6411)

akta.pro primary industry

Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)

akta.pro secondary industries

Safety & Alignment Evaluation (red-teaming, harmful capability testing) (HDAAAMAL), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Responsible AI, AI Governance & Compliance Services (BPAEAHAJ)

Keywords

• AI agent certification
• AI security standards
• AI agent insurance
• Adversarial testing services
• AI risk management

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. AIUC-1 Certification Services: AIUC charges AI companies for certification against the AIUC-1 standard. The process involves technical evaluations, audits conducted by Schellman, and issuance of an AIUC-1 certificate valid for 12 months. Fees support the adversarial testing, audit evidence collection, and certification process.
2. AI Agent Insurance: AIUC underwrites and provides insurance policies to AI companies to protect their enterprise customers financially in case of AI agent failures (hallucinations, data leaks, jailbreaks). Insurance is backed by Lloyd's of London and covers up to $50M in losses. The insurance is unlocked by AIUC's AIUC-1 certification and underwriting process.
3. Audit Services: AIUC conducts technical evaluations and issues AIUC-1 certifications, while authorized auditors like Schellman provide independent audit evidence collection, detailed reporting, and certification guidance — combining AIUC's technical rigor with partner audit expertise.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels5 records

Core offering

AIUC certifies AI agents against its AIUC-1 standard covering six risk categories (data & privacy, security, safety, reliability, accountability, societal impact) with 50+ controls validated through quarterly adversarial testing, and underwrites AI agent insurance policies covering up to $50M in losses from AI failures such as hallucinations, jailbreaks, and data leaks. Certification is delivered jointly with authorized auditor Schellman; insurance is backed by Lloyd's of London.

Product overview

AIUC (Artificial Intelligence Underwriting Company) is a San Francisco-based company offering a dual-product portfolio centered on AIUC-1 certification and AI agent insurance. The core offering is AIUC-1, the world's first comprehensive security, safety and reliability standard for AI agents, which validates AI systems against 50+ controls covering data & privacy, security, safety, reliability, accountability, and societal risks through technical testing and independent audits. Supporting this, AIUC provides AI agent insurance policies covering AI-specific risks up to $50 million, backed by Lloyd's of London, enabling enterprises to underwrite risks that previously blocked AI adoption. The company also offers technical evaluation and gap analysis services to help AI companies prepare for certification.

Differentiator

Problem solved

Functional benefit

Products and services

• AIUC-1 Certification The world's first AI agent security, safety and reliability certification standard, validating AI agents against 50+ technical, operational and legal safeguards covering data & privacy, security, safety, reliability, accountability, and societal impact. Certificate is valid for 12 months with quarterly adversarial re-testing required for renewal. Targets AI companies and enterprise AI deployers.
• AI Agent Insurance Insurance policies covering AI-specific risks including hallucinations, jailbreaks, data leakage, and brand risk, with coverage up to $50 million of losses. Backed by Lloyd's of London and unlocked by AIUC-1 certification. Sold to AI companies to protect their enterprise customers in case of AI agent failures.
• Technical Evaluations (Adversarial Testing) Adversarial testing service that evaluates AI agents against thousands of real-world threat scenarios including jailbreaks, prompt injections, data leakage attempts, and hallucination risks, with results delivered for AI companies preparing for AIUC-1 certification.
• Gap Analysis Risk assessment service providing a comprehensive overview of an AI agent's safety, security, and reliability posture using AIUC's risk assessment framework, identifying gaps before formal AIUC-1 certification.
• AIUC-1 Audit Support Audit assistance service delivered jointly with authorized auditor Schellman, helping companies achieve AIUC-1 certification through independent audit evidence collection, detailed reporting, and certification guidance to unlock faster enterprise adoption.

Quantifiable outcome

• 95%+ of enterprise AI pilots fail to reach deployment due to legal and security concerns
• +5 more outcomes

Named customers6 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature6 records

Partnerships

Seven partnerships are on record, tiered core.

• SchellmancoreImplementation/ SI/ Consulting Partner · 3 February 2026Schellman became the first authorized auditor of AIUC-1. AIUC conducts technical evaluations and issues certification while Schellman provides independent audit evidence collection, detailed reporting, and certification guidance. Schellman was the first ANAB-accredited certification body for ISO 42001. This partnership extends AIUC's reach to Schellman's Fortune 500 client base and provides enterprise buyers with the audit expertise needed for the certification process.
• MITREcoreTechnology or Integration · 9 December 2025MITRE is a technical contributor to AIUC-1, creating and maintaining ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems), a globally accessible knowledge base of adversary tactics and techniques against AI-enabled systems. ATLAS mitigation strategies are implemented directly in AIUC-1 requirements and controls, with full crosswalk documentation in AIUC-1.
• UiPathcoreStrategic or Co-development Partner · 19 November 2025UiPath became a founding technical contributor to AIUC-1, contributing its technology and experience to reinforce the framework's security standards. UiPath was the first enterprise automation platform to achieve AIUC-1 certification, setting a benchmark for responsible AI agent deployment in enterprise environments.
• Orrick, Herrington & SutcliffecoreStrategic or Co-development Partner · 21 July 2025AIUC and Orrick, a top AI law firm, partnered to create AIUC-1. Orrick reviews the legal controls of AIUC-1 across data and privacy, IP, and accountability policies. Orrick Partner John Bautista (leads the firm's Innovation & Technology practice) co-developed the standard with AIUC.
• Stanford Trustworthy AI Research LabcoreStrategic or Co-development Partner · 1 January 2025Stanford Professor Dr. Sanmi Koyejo (Assistant Professor and leader of Stanford's Trustworthy AI Research Lab) is an advisor to AIUC. Stanford and AIUC partner on AIUC-1, with Dr. Koyejo providing input on real-world AI risk for enterprises and how AIUC-1 incorporates state-of-the-art AI research.
• IntercomcoreStrategic or Co-development Partner · 1 January 2025Intercom is a founding technical contributor to AIUC-1. As a founding contributor, Intercom contributes expertise from its enterprise deployments to help strengthen the standard for the broader industry. Intercom's Fin AI agent was the first customer service AI agent to undergo AIUC-1 certification, with certification validating Fin's safeguards against jailbreaks, prompt injections, and data leakage.
• CSA (Cloud Security Alliance)coreStrategic or Co-development Partner · 1 January 2025CSA is a trusted institution that collaborated with AIUC to develop AIUC-1, contributing to the operationalization of AI security frameworks including CSA's existing cloud security standards into the AIUC-1 standard.

Scale indicators6 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Holistic AI: Holistic AI is an AI governance, risk, and compliance platform that helps enterprises manage AI systems through auditing, monitoring, and regulatory readiness tooling. Directly competes with AIUC's AIUC-1 certification offering for enterprise AI assurance budgets.
• Credo AI: Credo AI provides an AI governance platform for responsible AI deployment, including risk assessments, compliance documentation, and audit workflows. Targets similar enterprise buyers (CISOs, legal, compliance) with overlapping value propositions around AI risk management.
• Monitaur: Monitaur offers AI governance and ML model monitoring software for model risk management, bias auditing, and compliance documentation. Competes for the same enterprise AI assurance spend, though with less emphasis on adversarial red-teaming than AIUC.
• Robust Intelligence (Cisco): Robust Intelligence (acquired by Cisco in 2024) provides AI firewall and model security testing that validates AI system robustness against adversarial inputs. Directly comparable to AIUC's adversarial testing layer, now embedded inside Cisco's broader security portfolio.
• TrojAI: TrojAI builds AI security and red-teaming tools to detect Trojan attacks, vulnerabilities, and adversarial exploits in ML models. Provides the same adversarial testing capability AIUC offers as part of AIUC-1 certification, targeting similar government and enterprise buyers.
• Calypso AI: Calypso AI is a security and observability platform for generative AI and LLM applications, offering red-teaming, prompt injection defense, and policy enforcement. Directly comparable to AIUC's adversarial testing scope for deployed AI agents.
• HiddenLayer: HiddenLayer provides AI application security including adversarial threat detection, model scanning, and AI risk management. Competes with AIUC's AI agent security testing layer, particularly for ML supply chain and model integrity assurance.

Emerging players

• Citadel AI: Citadel AI (Japan-based) provides AI quality assurance and testing tools for ML models, including robustness, fairness, and explainability evaluations. Overlaps with AIUC's testing methodology, though focused more on model QA than on certification-plus-insurance go-to-market.

Broad incumbents

• Deloitte (AI Assurance practice): Deloitte's Trustworthy AI practice offers AI risk assessments, algorithmic audits, and AI compliance services to Fortune 500 clients. Could launch a competing proprietary AI agent standard bundled into existing enterprise consulting relationships.
• Munich Re: Munich Re is a global reinsurer actively exploring AI underwriting and cyber insurance products, with initiatives covering AI-related liability. As a Lloyd's competitor and major capacity provider, it could launch a competing AI-specific insurance product with its own technical certification requirements.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat6 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/aiunderwriting
• LinkedInlinkedin.com/company/aiunderwriting

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds2 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Artificial Intelligence Underwriting Company