OJAI, CA — GenRocket, the leader in Design-Driven Synthetic Data, today announced a strategic partnership with Stratgyk, a management consulting firm specializing in strategic growth, operational transformation, and M&A advisory for emerging and mid-market organizations.

The partnership is designed to help enterprises navigate the rapidly evolving landscape of AI adoption by strengthening AI governance, risk management, while building a robust foundation for secure, scalable, and policy-driven data management. By combining Stratgyk’s strategic advisory capabilities with GenRocket’s enterprise synthetic data platform, the collaboration will enable organizations to modernize development, analytics, and AI initiatives without reliance on sensitive production data. 

As organizations accelerate their investments in AI, they face increasing pressure to establish transparent, auditable, and compliant AI systems, while managing complex and fragmented data ecosystems. This partnership directly addresses these challenges by providing a controlled data environment where enterprises can safely test real-world scenarios, validate AI models, and enforce governance policies from the ground up.

Through this collaboration, organizations will gain access to industry’s comprehensive platform for:

• Embedding AI governance and data management controls into development lifecycles
• Enabling risk-aware decision-making through high-fidelity synthetic data
• Establishing data lineage, traceability, and auditability across systems
• Reducing exposure to privacy, security, and regulatory risks
• Accelerating AI innovation within a controlled and compliant data ecosystem

“Enterprises today are not struggling with AI ambition, they are entering a new phase of innovation driven by data, AI, and digital transformation,” said Garth Rose, Co-Founder and CEO of GenRocket. “Our partnership with Stratgyk brings together business and technology strategy,  industry expertise, and GenRocket’s synthetic data platform to help organizations accelerate innovation, strengthen data governance, and safely unlock the full value of their data ecosystems.”

“AI without governance is risk at scale. Our partnership with GenRocket reflects a shared commitment to helping businesses operationalize trust – where data, AI models, and decisions are not only powerful, but also explainable, auditable, and compliant by design,” said Manav Ahuja, the Co-Founder of Stratgyk.

Together, GenRocket and Stratgyk will support organizations across industries in building AI-ready enterprises – where governance is embedded, risk is quantified, and data is engineered to enable secure, compliant, and scalable innovation.

About GenRocket

GenRocket is the industry’s most advanced synthetic data platform, helping enterprises modernize how test and training data is provisioned, governed, and delivered at scale. The GenRocket Quality Evolution Platform provides a centralized, enterprise-grade solution for managing both masked production data and fully synthetic data across any data environment, while uniquely offering the only evolutionary path from traditional production-based Test Data Management to a synthetic-first operating model.

Through its Design-Driven Data approach, teams intentionally engineer data for specific test scenarios, edge cases, business rules, and AI/ML training needs. Deeply integrated with modern DevOps and CI/CD pipelines, GenRocket delivers deterministic, automation-ready data on demand through a self-service platform that empowers developers and testers while maintaining centralized governance, security, and control for enterprise teams.

About Stratgyk

Stratgyk is a niche management consulting firm focused on helping small and mid-sized enterprises execute strategic transitions and accelerate sustainable growth. The firm specializes in strategic M&A, management consulting, and growth management for organizations operating in complex and rapidly evolving markets. 

Stratgyk brings a distinctive focus on AI governance, risk frameworks, and data-driven operating models, helping organizations embed compliance, auditability, and decision intelligence into their transformation journeys.