Metomic

High-Level Overview

Metomic is a London-based technology company that builds a unified SaaS data security platform designed to discover, classify, and protect sensitive data across SaaS applications, GenAI tools, and cloud environments.[1][3][4] It serves enterprises and high-growth companies like Revolut, Oyster, and Juni, solving the problem of data exposure risks in collaborative tools such as Slack, Google Workspace, Microsoft 365, Jira, and ChatGPT by providing real-time visibility, automated policy enforcement, and compliance with standards like GDPR, SOC 2, HIPAA, and PCI DSS.[1][3][4][5] With $20M in total funding, including a recent round, Metomic demonstrates strong growth momentum, delivering value through AI-powered risk prioritization and rapid deployment that scans historical data in days while enabling productivity without slowing business operations.[4][5]

Origin Story

Metomic was founded in 2018 in London, England, originally as Flipstash Ltd., by CEO Richard Vibert—a data scientist with advanced degrees in Mathematics—and CTO Ben Van Enckevort, an engineer with a Master of Engineering from Imperial College London.[1][2] The idea emerged from recognizing the need to secure sensitive data proliferating across SaaS apps amid rising collaboration and AI adoption, where traditional DLP tools fail due to alert fatigue and lack of context.[2] Early traction came from its agentless API integrations and machine learning for precise risk detection, evolving into a comprehensive platform with features like the "Human Firewall" for employee notifications; pivotal moments include securing clients like Revolut and launching AI Data Protection Suite amid GenAI risks.[1][2][5]

Core Differentiators

• Purpose-Built for SaaS and GenAI: Unlike legacy DLP or native controls, Metomic offers cross-SaaS visibility with semantic and advanced classification, continuous monitoring, and automated remediation (e.g., bulk revoke sharing, quarantine, redact) directly from the platform.[3][4]
• AI-Powered Precision: Uses ML for high-accuracy detection of PII, PHI, secrets; Risk Score triage cuts noise; custom classifiers prioritize business-specific risks without overwhelming teams.[1][2][3]
• Human Firewall and Employee Empowerment: Real-time notifications in apps like Slack enable self-remediation, fostering a security culture while maintaining productivity boosts from SaaS collaboration.[2][3][4]
• Rapid Deployment and Compliance: Agentless API setup deploys in hours, integrates with SIEM/SOAR/ITSM, and ensures compliance across Google Workspace, M365, Jira, and more.[3][4]

Role in the Broader Tech Landscape

Metomic rides the explosive growth of SaaS proliferation and GenAI integration, where data spreads rapidly across 100+ apps, amplifying insider threats and compliance risks amid regulations like GDPR.[1][3][6] Timing is ideal as enterprises adopt AI workflows (e.g., ChatGPT in Teams) but face exposure—CISOs prioritize this as AI embedding heightens leaks, with Metomic defining the SaaS DSPM (Data Security Posture Management) category.[4] Market forces like Revolut-scale fintech demands and cloud shifts favor its scalable, non-intrusive approach over retrofitted tools; it influences the ecosystem by enabling safe AI unlocking, reducing breach costs, and setting standards for human-centric security in collaborative environments.[2][5][6]

Quick Take & Future Outlook

Metomic is poised to expand as GenAI and multi-SaaS stacks become ubiquitous, with trends like stricter AI regulations and zero-trust data models amplifying demand for its automated, intelligent layer.[3][4][6] Next steps likely include deeper integrations (e.g., more GenAI tools), global scaling beyond Europe, and leveraging $20M funding for enterprise wins amid rising breaches.[5] Its influence could evolve into the go-to security fabric for AI-driven enterprises, humanizing data protection while fueling safe innovation—positioning Metomic as essential for any org embracing AI without compromise.