Vendict, the AI-native platform redefining how enterprises approach compliance, has raised $10 million in Series A funding to accelerate its mission: eliminate the manual drag from GRC workflows while delivering traceable, context-aware answers companies can trust.
The round was led by Moneta VC and JAL Ventures, with participation from NFX, Cardumen Capital, Disruptive AI, and Cyber Club London. Several returning investors increased their stakes, pushing Vendict’s total funding to $20 million.
“The compliance space is undergoing a generational shift, and Vendict is perfectly positioned to lead it,” said Adoram Gaash, Co-Founder & Managing Partner at Moneta VC. “They’ve combined world-class AI with deep domain understanding to create a platform that’s not only powerful, but trusted.”
A Tipping Point for GRC and AI
The timing of Vendict’s raise is no accident. The global GRC platform market is forecasted to add $44.22 billion in new value between 2025 and 2029, as regulatory demands expand and third-party ecosystems grow more complex.
To keep pace, companies are turning to AI. However, there’s a credibility gap: 74% of compliance leaders remain uneasy about relying on AI, concerned about hallucinated answers, a lack of transparency, and the difficulty of integrating new tools into tightly governed environments.
Vendict is betting its Series A on solving that exact problem.
“We built our platform on language models, knowledge graphs, and continuous feedback loops so it doesn’t just generate answers but also understands context, explains its reasoning, and delivers results executives can trust,” said Udi Cohen, Vendict Co-founder and CEO.
Why AI-Native Isn’t Just a Tech Spec
Unlike most compliance tools that simply layer AI onto existing systems, Vendict is one of the few platforms purpose-built from day one. Its architecture, centered around intelligence, allows it to adapt, refine, and justify every output continuously, setting it apart in the market.
“Our architecture doesn’t just consume data; it learns from user interaction patterns, approval workflows, and decision boundaries in real time,” said Michael Keslassy, Vendict’s CTO.
That infrastructure enables something most competitors can’t: answers that are not just fast, but provable, linked directly to canonical evidence, audit-ready, and fully explainable.
“While competitors try to retrofit AI into legacy systems, Vendict is built from the ground up with intelligence at the core,” added Gonzalo Martínez de Azagra, General Partner at Cardumen Capital.
Trusted by Teams Who Can’t Afford Mistakes
With over 100 customers in less than three years, Vendict has already established itself as a trusted layer inside security- and compliance-intensive companies. One such company is Orca Security, where the immediate time savings and increased focus on security due to Vendict's automation have been particularly noteworthy.
“Vendict’s automation eliminated the manual work involved in responding to these lengthy questionnaires,” said Raul Zayat Galante, CISO at Orca Security. “We could focus more on security and less on paperwork.”
The platform supports real-time compliance across SOC 2, ISO 27001, GDPR, DORA, and ESG, enabling companies to move from static reporting cycles to dynamic, continuous readiness.
What’s Next: Turning Compliance into a Strategic Function
With its new capital, Vendict plans to scale R&D, deepen integrations with key compliance frameworks, and expand go-to-market operations. However, beyond growth, the company remains focused on its larger ambition: transforming GRC from a bottleneck into a business accelerator.
“Compliance shouldn’t be spending their time copy-pasting across spreadsheets,” said Cohen. “They should be steering strategy, managing risk, and earning trust.”
A New Standard for Trust in Enterprise AI
As AI reshapes every corner of the enterprise, Vendict stands out by refusing to treat compliance as an afterthought. In a market demanding both speed and accountability, this $10M raise positions the company not just as the new standard-bearer for credible AI in GRC.