Vijil, a firm focused on strengthening the resilience and trustworthiness of AI agents in enterprise environments, has secured new investment to further its expansion.
The firm, which offers a platform designed to help organisations deploy AI tools with greater confidence, is positioning itself as a key player in the rapidly growing market for agentic AI safety and governance.
The company has raised $17m in fresh capital. The round was led by BrightMind Partners, with additional backing from Mayfield and Gradient. The latest raise brings Vijil’s total funding to $23m.
Vijil’s platform aims to solve a central challenge faced by enterprises experimenting with AI agents: ensuring reliability, safety and compliance at scale. Its technology allows teams to build, test and deploy agents while continuously improving their resilience through reinforcement learning on production telemetry. The company claims this approach boosts success rates for developers, reduces operational risks for security teams, and shortens time-to-trust for business users eager to see rapid returns from AI investments.
The new funding will be used to accelerate the deployment of Vijil’s platform across global industries. As demand for secure and reliable AI grows, Vijil said it will invest in scaling infrastructure, expanding enterprise integrations and advancing the continuous learning capabilities at the core of its agent-hardening process.
The company has also gained industry recognition, recently being named a Gartner® Cool Vendor in the 2025 Cool Vendors™ in Agentic AI Trust, Risk and Security Management (TRiSM) report. It highlighted SmartRecruiters as one of the enterprise users relying on its platform, stating that the software has helped the recruitment technology firm cut time-to-trust by 75%.
Vijil founder and CEO Vin Sharma said, “The adoption by customers, integration with partners, support of investors, and recognition by industry analysts validate our vision. Vijil delivers the essential infrastructure layer that enterprises need now to trust AI agents in production.”
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