Asenion provides an AI governance platform that centralizes policy management, automated testing, and continuous monitoring for machine‑learning models throughout their lifecycle.
Funding
$120K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises deploying machine learning models often lack standardized processes to assess trust, safety, security, and regulatory compliance, leading to hidden risks and delayed deployments. Existing tools are fragmented, requiring manual coordination across policy, risk, and data‑science teams, which hampers efficient model governance.
Solution
Asenion offers an AI governance platform that centralizes policy management, automated testing, and continuous monitoring for AI systems across their entire lifecycle. Users can map regulatory controls to an AI Registry, select or create policies with Fairly ControlGen, and run pre‑configured or custom test agents on predictive, generative, and agentic models. The platform’s Parallel Governance layer enables cross‑functional teams to collaborate without real‑time data‑science involvement, while post‑market monitoring inserts continuous checkpoints and automates incident response. Built‑in reporting tools generate custom analytics dashboards that surface compliance status and risk metrics at a glance, helping organizations meet global AI regulations and accelerate safe AI deployment.
Target Audience
Primary customers are large enterprises—particularly risk, compliance, procurement, and data‑science teams—that need to govern multiple AI models across regulated industries such as finance, healthcare, and technology.
Features
- AI Registry for mapping policies and tracking compliance of each AI system
- Policy Management with pre‑configured templates and custom control creation via Fairly ControlGen
- Test Agents library for automated functional, security, and bias testing of predictive, generative, and agentic models
- Parallel Governance layer that reduces inter‑team friction and enables independent risk‑compliance workflows
- Post‑market monitoring with continuous AI checkpoints and automated incident response workflows
- Custom report builder delivering real‑time analytics, audit‑ready documentation, and regulatory dashboards
- Integrations with existing CI/CD pipelines, API connectors, and common enterprise tools
- Deployment options for SaaS, private cloud, or on‑premises environments