Relyance AI
Privacy-as-code and data governance ops
About
Founded in 2020 by Gabriela Zanfir-Fortuna and Abhi Sharma, Relyance AI emerged from stealth in 2021 with $30M and raised a further $32M Series B. The platform connects directly to engineering source code repositories to trace how personal data is actually collected, processed, and shared in real time—not just how contracts say it should be handled. Legal, privacy, and engineering teams use it to maintain living data maps, detect compliance drift against GDPR and CCPA obligations, and identify missing data processing agreements before incidents occur. Microsoft's M12 and Menlo Ventures are among its backers.
Products
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Lyo Platform
— AI-native data defense engineer tracing data journeys from code to cloud to AI models, providing real-time context and actionable insights.
Customer sectors: security teams, engineering teams, privacy teams
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AI Governance
— Manages AI risk with 3rd party risk assessment, data lineage, AI inventory, regulatory compliance mapping, and shadow AI detection.
Customer sectors: security teams, compliance teams, privacy teams
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Data Security
— Detects supply chain risks, analyzes breach impact, manages compliance gaps, detects exfiltration, and discovers sensitive data with lineage.
Customer sectors: security teams, risk management, compliance teams
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Privacy
— Manages 3rd party and subprocessors, automates privacy impact assessments, enforces consent, and automates data subject requests.
Customer sectors: privacy teams, legal teams, compliance teams
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Relyance AI — available to members.
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