Calvin Risk

AI governance and risk management platform for regulated industries

Compliance & Regulatory Growth Seed

Overview

Calvin Risk is an AI governance and compliance platform for regulated industries including insurance, banking, transportation, and telecommunications. The company provides tools for organizations to quantify AI-related risks, manage model quality, and meet regulatory requirements such as the EU AI Act.

The platform evaluates AI models via API or direct upload using over 50 metrics covering bias, hallucinations, robustness, and fairness. It combines a governance inventory, automated testing, compliance obligation tracking, and evidence management into a single system, enabling enterprises to centralize AI model oversight.

Founded in 2022 as a spin-off from ETH Zurich, Calvin Risk has raised USD 5.5M-7M across seed rounds with backing from Join Capital, Wingman Ventures, b2venture, and Innosuisse. Notable customers include Aviva (UK), Lufthansa Industry Solutions, SBB CFF FFS, and DNB. The company was recognized by Gartner as a top-funded AI TRiSM startup and ranked #68 on the TOP 100 Swiss Startups 2025 list.

Products & Services

Calvin Platform

Comprehensive AI governance and testing solution that consolidates model inventory, quality assessment, compliance management, and reporting. Organizations connect AI systems via API or model upload and receive automated quality scores across performance, fairness, and safety dimensions.

Key Features

AI model inventory and centralized tracking
Automated quality metrics (50+ assessment dimensions)
EU AI Act compliance obligation management
LLM robustness, fairness, and hallucination testing
Risk severity estimation and automated notifications
Quality dashboards and audit-ready reporting

Target Users: Risk managers, compliance officers, AI/ML teams at carriers and regulated enterprises

Governance Inventory

Structured registry of AI systems operating within the enterprise, providing visibility into model status, ownership, risk classification, and lifecycle stage.

Key Features

Centralized model documentation and tracking
Risk classification and ownership assignment
Integration with compliance workflows

Target Users: Chief Risk Officers, AI governance teams

Evidence Management System (EMS)

Documentation and compliance tracking system that collects, organizes, and stores evidence required for regulatory reporting and third-party audits.

Key Features

Automated evidence collection and organization
Audit trail maintenance
Regulatory reporting support

Target Users: Compliance and legal teams, auditors

LLM Assessment Module

Dedicated evaluation module for large language models, testing performance, fairness, and robustness across multiple dimensions including hallucination detection and adversarial attack resilience.

Key Features

LLM-specific performance benchmarking
Hallucination and bias testing
Adversarial robustness evaluation

Target Users: AI/ML teams deploying LLMs in production

At a Glance

Founded: 2022
Headquarters: Kloten, Switzerland
Employees: 11-50
Funding: Seed

Category & Focus

Category: Compliance & Regulatory
Subcategories: AI Governance AI Risk Management Model Validation Regulatory Compliance
Insurance Verticals: P&C Commercial Specialty/E&S Life & Annuity
Target Customers: Carriers, Brokers, MGAs/MGUs