Relyance provides an engine that scans data sources — including third-party apps, cloud environments, AI models, and code repositories — to create a centralized data inventory and data map synced to policies and regulations. Its features include data-lineage tracking, vendor-risk monitoring, and automated checks that flag mismatches between data handling and governance rules. The product is aimed at helping companies manage reputational and legal risk as AI adoption grows and regulation tightens. Relyance competes with vendors such as OneTrust, Transcend, Datagrail, and Securiti AI. The company reports its customer base (including Coinbase, Snowflake, MyFitnessPal, and Plaid) grew 30% in H1, and says it is on track to double annual recurring revenue this year. Relyance plans to use new funding to expand its engineering team and go-to-market capacity and grow headcount to 90 employees by year-end. Relyance AI provides a code-level privacy compliance platform that ingests contracts and legal requirements as code and performs compiler-like analysis of how personal and sensitive data flows across microservices, data lakes, and warehouses. The product is embedded in customers' DevOps pipelines to return metadata analyses to privacy and compliance teams and to flag misalignments between contractual obligations and operational reality. The company also enables customers to define policy and contracts as code and has developed algorithms to extract relevant provisions from data protection agreements. Relyance launched in February 2020, began building its solution in July 2020, released a beta in February and began quietly selling in March. Today it has early customers including Dialpad, Patreon, Samsara and True. The startup has 32 employees and plans to double or triple headcount in the next 12–18 months while remaining remote-first and prioritizing diversity in hiring.

Total raised

$62M

Funding rounds

3

Latest round

Series B

Latest activity

Oct 2024