Following its $32.1 million Series B funding round last October, data governance platform provider Relyance AI has launched its new Data Journeys platform. This platform aims to address a key challenge in enterprise AI adoption: understanding exactly how data flows through complex systems.
Data Journeys tracks how and why data is used across applications, cloud services, and third-party systems, filling a gap left by traditional data lineage methods.
Image Source Note: Image generated by AI, licensed through Midjourney.
Abhi Sharma, CEO and co-founder of Relyance AI, emphasizes that Data Journeys provides an AI-native, context-aware view of the entire data lifecycle, from raw data collection to every transformation and use case. The system works by analyzing code, not simply connecting data repositories, revealing the precise reasons behind data processing.
Heather Allen, Chief Privacy Officer at CHG Healthcare, believes Data Journeys has the potential to revolutionize responsible AI development, solving their most pressing challenges with its automated, context-aware data lineage capabilities.
Sharma points out that Data Journeys delivers value in four key areas: compliance and risk management, precise bias detection, explainability and accountability, and regulatory compliance. It helps organizations demonstrate the integrity of their data practices, track the sources of potential bias, understand the complete data lineage of high-risk AI decisions, and navigate increasingly complex global regulations.
Relyance claims Data Journeys can save clients 70-80% of the time spent on compliance documentation and evidence gathering, and reduce the "time to certainty" in answering specific data usage questions from hours to minutes. Furthermore, Relyance has introduced an InHost self-hosted deployment model to cater to industries with stringent data sovereignty requirements.
Relyance's long-term vision is to become a unified AI-native platform encompassing global privacy compliance, data security posture management, and AI governance. The company plans to launch its AI governance solution in the second half of this year to comprehensively manage the AI footprint within enterprise environments.
Relyance's progress has attracted investor interest. Its Series B funding round was led by Thomvest Ventures, with participation from Microsoft's M12 Ventures Fund. Umesh Padval, Managing Director at Thomvest Ventures, highlighted the urgency of the problem Relyance is addressing.
