Complyance Secures $20 Million Series A to Expand Agent-Based AI for Enterprise GRC

Key Takeaways

• $20 Million Series A Led by GV: Complyance raised $20 million in a Series A round led by GV, with participation from existing investors and new angel investors from security and GRC leadership roles at companies including Anthropic and Mastercard.
• Agent-Based AI Model for GRC: The company’s platform centers on customizable AI agents designed to automate manual governance, risk, and compliance tasks such as evidence review, vendor assessments, and risk tracking.
• Centralized Risk and Compliance Architecture: Complyance’s system is built on centralizing enterprise risk and compliance data, with integrations and workflow automation embedded into the platform.
• Expansion Plans for 2026: The company plans to deploy more than 30 new AI agents in 2026, including agents focused on third-party risk management and framework-specific use cases aligned with standards such as HIPAA, ISO, and NIST.
• Focus on Human Oversight and Auditability: According to the company, its AI agents operate within defined workflows, generate reviewable and auditable outputs, and incorporate human decision checkpoints to maintain oversight.

Deep Dive

Complyance has raised $20 million in a Series A funding round led by GV, with continued backing from Creandum, HV Capital, Speedinvest, and Everywhere Ventures. The company also said new angel investors include members of security and GRC leadership teams at organizations such as Anthropic and Mastercard.

The raise comes as enterprise governance, risk, and compliance teams face mounting regulatory demands and increasingly complex operational environments. Complyance positions its platform as a response to that pressure, built around what it describes as customizable AI “agents” designed to automate manual GRC workflows.

Founded by Richa Kaul, the company provides a platform that centralizes risk and compliance data across an organization, with built-in integrations and workflow automation. On top of that foundation, its AI agents are designed to perform specific tasks such as reviewing evidence, assessing vendors, tracking risks, and supporting audit preparation.

In a statement, Kaul said the company was created to reduce the administrative burden that often consumes GRC teams. “That means automating manual work, so GRC teams are unblocked to focus on the real ‘whys’ behind security compliance: protecting the business and protecting customers,” she said. “It’s easier to do when Complyance AI agents are simultaneously preparing evidence for your sign-off, teeing up risks for your review, and flagging vendor breaches to your team.”

According to the company, its AI agents are domain-trained and operate within defined workflows, producing reviewable and auditable outputs while escalating decisions to humans where required. The stated goal is to automate execution across GRC processes without removing oversight, helping organizations remain audit-ready while managing risk visibility across the enterprise.

Complyance said it plans to use the new funding to accelerate go-to-market expansion and further develop its agent-based AI capabilities. The company expects to deploy more than 30 new agents for enterprise GRC use cases in 2026, including end-to-end third-party risk management agents and framework-specific agents aligned with standards such as HIPAA, ISO, and NIST.

Luna Schmid, a partner at GV, said the firm invested in Complyance’s approach to embedding AI more deeply into GRC operations rather than treating it as an add-on feature. In a statement, she said the company’s agentic model reflects how enterprise GRC teams operate and represents what GV believes could become a broader industry direction.

Complyance said its platform is used by Fortune 500 companies and other global enterprises, though it did not provide specific customer figures. Tim Somrah, Vice President of Information Security at Major League Soccer, said in a statement that the organization relies on the platform for its enterprise GRC needs.

The funding underscores continued investor interest in applying artificial intelligence to governance and compliance functions, particularly as enterprises look for ways to manage growing regulatory complexity, third-party exposure, and internal control demands without proportionally increasing headcount.

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