Compliance work is one of those things nobody talks about at dinner parties, but every large company burns an absurd amount of time and money on it. Reviewing evidence, assessing vendor risks, tracking controls across frameworks like HIPAA, ISO, and NIST — it’s tedious, repetitive, and painfully manual. That’s the exact pain point [Complyance](https://www.complyance.com/) is going after, and based on what I’ve seen, they’re doing it in a pretty compelling way.
The company just [announced a $20M Series A led by GV (Google Ventures)](https://techcrunch.com/2026/02/11/complyance-raises-20m-to-help-companies-manage-risk-and-compliance/), bringing their total funding to $28M. The round also saw participation from Creandum, HV Capital, Speedinvest, and Everywhere Ventures, plus angel investors from Anthropic and Mastercard’s security teams. That investor list alone tells you something — when people who actually work in security and AI put their own money behind a GRC tool, it’s worth paying attention to.
So what does [Complyance](https://www.complyance.com/) actually do? In short, it’s an AI-native GRC platform that plugs into your existing tech stack and deploys customizable AI agents to handle the grunt work. These agents can review evidence, draft policies, score vendors, auto-fill questionnaires using past responses, and continuously monitor for non-compliance before it becomes a problem. The company claims it cuts manual GRC work by about 70%, which honestly sounds aggressive until you realize how much of traditional compliance is just humans copy-pasting between spreadsheets and checking boxes. The platform currently has 16 agents live, with [plans to ship over 30 more in 2026](https://www.globenewswire.com/) covering end-to-end TPRM, HIPAA, ISO, and NIST workflows.
Founded by Richa Kaul, who previously worked at McKinsey and served as CRO at ContractPod, the company came out of stealth back in 2023 but didn’t ship their first product until late 2024. Now they’re working with Fortune 500 companies, which is a fast ramp for a startup that’s barely two years into its go-to-market. Kaul’s pitch is straightforward: “The best way to actually protect consumer data is to help secure the enterprises that hold the world’s data.” Hard to argue with that.
One thing I appreciate is the privacy angle — Complyance never trains on client data, and each client gets fully isolated AI. For enterprises dealing with sensitive compliance data, that’s not a nice-to-have, it’s a requirement. The company also has a [GitHub presence](https://github.com/complyance) with a few open-source repos, though the core platform itself is proprietary.
The [GlobeNewsWire announcement](https://markets.financialcontent.com/stocks/article/gnwcq-2026-2-11-complyance-raises-20m-series-a-led-by-gv-google-ventures-to-modernize-enterprise-grc-with-agentic-ai) and the [TechCrunch coverage](https://techcrunch.com/2026/02/11/complyance-raises-20m-to-help-companies-manage-risk-and-compliance/) both dropped on February 11, and the story picked up traction fast. It’s easy to see why — agentic AI applied to enterprise compliance is one of those use cases where automation makes obvious, immediate sense. Legacy GRC tools are notoriously clunky, and the idea of purpose-built AI agents that actually understand compliance frameworks is exactly the kind of upgrade the industry needs. Keep an eye on this one.
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