Kyvos has launched its integration with Claude Cowork, enabling organizations to operationalize agentic analytics reliably on enterprise big data. The Kyvos semantic layer provides a governed foundation of consistent business semantics, ensuring AI agents in Claude Cowork reason, plan, and execute analytical tasks accurately without inferring raw data meanings that lead to inconsistencies.
Quick Intel
Agentic analytics represent a shift where AI agents autonomously handle complex data tasks, but direct operation on raw enterprise datasets often introduces errors due to misinterpretation of fields and metrics. Kyvos addresses this by grounding Claude Cowork in a unified semantic layer that centralizes business definitions, calculations, and access controls.
This ensures agents operate on trusted, governed context rather than guessing data meanings, resulting in analytics that are accurate by design and free from metric drift across different teams or repeated runs.
The integration supports high-performance execution even at massive scale, handling billions of rows efficiently while maintaining low latency. It enforces controls at every step, applying business rules and security policies to maintain compliance and alignment with organizational standards.
Repeatability becomes a core strength, delivering consistent outcomes regardless of workflow evolution, user, or iteration. Enterprises can thus deploy agentic co-workers confidently for decision-making that reflects true business operations.
"Enterprise decision-making is only as good as the analytics foundation behind it," said Rajesh Murthy, Chief Operating Officer at Kyvos. "As organizations adopt agentic co-workers to reason, plan, and act on data, governed enterprise analytics becomes non-negotiable. Kyvos ensures Claude Cowork operates on trusted business semantics at scale — so agents don't just generate insights, they make decisions that are accurate, repeatable, and aligned with how the business actually runs."
The solution integrates seamlessly with current enterprise data platforms and BI environments, allowing organizations to adopt agentic workflows without disrupting established governance or infrastructure. This approach accelerates the value of AI-driven analytics while preserving trust and control at scale.
Kyvos positions itself as the essential semantic layer for modern AI and BI use cases, enabling enterprises to achieve consistent, performant, and governed insights from big data in an agentic era.
About Kyvos
Kyvos is a semantic layer for AI and BI that provides enterprises with a single, consistent, business-friendly view of their data. Kyvos helps eliminate metric drift across BI tools and grounds AI in governed semantic context to improve accuracy and trust. Kyvos delivers high-performance analytics at massive scale and concurrency, including rich multidimensional analytics on the cloud, while helping organizations control costs without compromising performance.
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