AI slashes compliance time 80% with Relyance’s data ‘x-ray vision’

Relyance AI’s new Data Journeys platform tackles a critical enterprise challenge by providing unprecedented visibility into how data moves through AI systems. As organizations accelerate AI adoption amid increasing regulatory scrutiny, understanding data flow patterns has become essential for compliance, bias detection, and accountability. With enterprises facing mounting fines and regulatory pressure—including $1.26 billion in GDPR-related penalties in 2024 alone—Relyance’s solution arrives at a crucial inflection point for AI governance.

The big picture: Relyance AI has launched Data Journeys, a visual platform that tracks how data moves across applications, cloud services, and third-party systems to address a fundamental AI governance challenge.

• The solution focuses on the “why” of data processing, providing context-aware visibility into data movements throughout enterprise systems.
• This launch follows Relyance’s $32.1 million Series B funding secured in October 2024, positioning the company as a key player in the enterprise AI governance space.

Why this matters: More than 25% of Fortune 500 companies have identified AI regulation as a risk in SEC filings, signaling growing enterprise concern about compliance challenges.

• The platform addresses the critical need for organizations to understand not just where data resides but how and why it’s being used across complex systems.
• By providing this visibility, Relyance helps companies navigate the increasingly stringent regulatory landscape around AI implementation.

Key features: Data Journeys solves four primary business challenges related to enterprise AI implementation and governance.

• The platform enhances compliance and risk management capabilities, enabling more precise bias detection in AI systems.
• It improves explainability and accountability while helping organizations maintain regulatory compliance across jurisdictions.

What they’re saying: “The fundamental premise is making sure that our customers have this AI native, context-aware view, very visual view of the entire journey of data across their applications, services, infrastructures, third parties,” said Abhi Sharma, CEO and co-founder of Relyance AI.

• Sharma emphasized that understanding “the why of data processing” represents “the most foundational layer needed for general AI governance.”

By the numbers: Relyance claims its platform delivers significant efficiency improvements for enterprise customers implementing AI systems.

• According to Sharma, customers using the platform have experienced 70-80% time savings in compliance documentation and evidence gathering.
• These efficiency gains translate to measurable ROI for organizations struggling with the administrative burden of AI governance.