Funding accelerates GTM expansion and the deployment of 30+ additional Complyance AI agents to automate manual risk and compliance workflows for Enterprise companies<\/p>\n
Complyance, the leading AI-native Enterprise GRC platform, today announced a $20 million Series A led by GV (Google Ventures). The round saw continued participation from existing investors Creandum, HV Capital, Speedinvest, and Everywhere Ventures. New angel investors include members of the Security & GRC leadership at Anthropic, Mastercard, and more.<\/p>\n
Today, Fortune 500 companies and global enterprises use Complyance\u2019s platform and its customizable AI agents to manage GRC, automate previously manual work, and increase risk observability. The foundation of the platform is the centralization of risk and compliance data across an organization, with integrations and workflow automation built in. Embedded Complyance AI agents use domain expertise and human-like reasoning to layer additional, proactive automation, such as reviewing evidence, assessing vendors, tracking risks, and more.<\/p>\n
Complyance\u2019s new funding will accelerate GTM expansion and continue the company\u2019s market-leading agentic AI innovation. From end-to-end TPRM agents to new framework-specific AI for HIPAA, ISO, and NIST, Complyance will deploy over 30 new agents for Enterprise GRC in 2026.<\/p>\n
\u201cI started this company to power compliance with a (wh)y,\u201d said Richa Kaul, Founder & CEO of Complyance. \u201cThat means automating manual work, so GRC teams are unblocked to focus on the real \u2018whys\u2019 behind security compliance: protecting the business and protecting customers. That\u2019s hard to do when GRC teams are spending time chasing control owners and policy approvers. It\u2019s 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.\u201d<\/p>\n
GV is investing in Complyance\u2019s vision for Enterprise GRC: customizable AI agents that do manual work, so GRC teams can focus on what really matters.<\/p>\n
Luna Schmid, Partner at GV, said \u201cComplyance\u2019s product brings together the power of AI with the nuance that reflects how Enterprise GRC teams actually operate. We\u2019re backing Complyance because they aren\u2019t just adding AI as a feature; they are redefining the category through an agentic model that we believe will become the industry standard.\u201d<\/p>\n
Complyance\u2019s platform is built with effective, secure AI at its core. Its agents are domain-trained and operate within defined workflows, producing reviewable, auditable outputs and checking in with humans for any decisions. This allows teams to reliably automate execution across GRC workflows, surface risks earlier, and stay continuously audit-ready without adding headcount.<\/p>\n
As the regulatory environment and risk landscape increase in complexity and scale, Enterprises are increasingly receptive to AI as a means to manage their GRC needs. Many of Complyance\u2019s clients are already seeing meaningful results from adopting its AI-powered approach.<\/p>\n
\u201cComplyance has figured out how to deliver AI, configurability, and white-glove service for Enterprise GRC,\u201d said Tim Somrah, VP of Information Security at Major League Soccer. \u201cThat\u2019s what MLS needs as an organization, and that\u2019s what I need from our technology partners as a Security leader.\u201d<\/p>\n
The post Complyance Raises $20M Series A Led by GV (Google Ventures) first appeared on AI-Tech Park.<\/p>\n","protected":false},"excerpt":{"rendered":"
Funding accelerates GTM expansion and the deployment of 30+ additional Complyance AI agents to automate manual risk and compliance workflows for Enterprise companies Complyance, the leading AI-native Enterprise GRC platform, today announced a $20 million Series A led by GV (Google Ventures). The round saw continued participation from existing investors…<\/p>\n
The post Complyance Raises $20M Series A Led by GV (Google Ventures)<\/a> first appeared on AI-Tech Park<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[4,1],"tags":[3],"class_list":["post-1365","post","type-post","status-publish","format-standard","hentry","category-ai","category-ai-and-ml","tag-ai"],"yoast_head":"\n