Richa Kaul says she’s a bit of a data privacy nut. At parties, for example, she’s the one helping people with their phone privacy configurations. “It got to a point where I realized the best way to actually protect consumer data is to help secure the enterprises that hold the world’s data.”
So she launched a company called Complyance to do just that. On Wednesday, the company announced a $20 million Series A led by GV. Complyance is an app that companies integrate into their existing tech stack. It uses AI agents to help them manage governance, risk, and, well, data compliance.
“The AI basically automates a number of manual tasks,” Kaul said. “It uses AI to do custom checks on data coming in against their own specific criteria and risk thresholds.” The AI then flags any risks that need review.
These risk reviews can take weeks or months when done manually. It’s a standard audit-based process that happens perhaps once a year or once a quarter, where teams will run a check on their organization. Tools like Complyance hope to make this process more efficient by using technology to run continuous checks in seconds, so companies never have to wonder if they are in data compliance. It also has an agent that assesses the risk of any third-party vendors.
“We’re trying to redefine what enterprise GRC teams spend their time doing right now,” she said, adding that it’s usually chasing down mundane tasks. GRC refers to general, risk, and compliance.
Others in the market include Archer, ServiceNow GRC, and OneTrust. She said her company differs from incumbents because it is AI-native, rather than layering AI features o …