Kaarvi has launched a data management platform that uses agentic AI to take raw data through to governed, decision-ready analytics in one no-code workflow.
The Living Data Platform bundles four capabilities. Hey Kaarvi for conversational analytics, Living Pipelines builds transformation logic from prompts, Living Dashboards generates dashboards from text, and Live Sync keeps data, lineage and governance continuously updated.
Kaarvi says its agents adapt to the data they are given, applying different checks to pipeline-integrity, production or financial records. The company claims this flexibility sets it apart from tools that impose a single fixed workflow.
The launch targets a recognised barrier to enterprise AI: trusted, AI-ready data. Kaarvi cites Gartner findings that 63 per cent of organisations lack, or are unsure of, the data management practices needed for AI.
Gartner also forecasts that organisations will abandon 60 per cent of AI projects not supported by AI-ready data through 2026.
Kaarvi stresses verification. It says a multi-tier pipeline rechecks every answer. Deterministic checks re-run the logic, and an independent model from a different LLM family reviews the result.
Column-level lineage traces each figure to its source.
“For thirty years, the fix for bad data has been more tools, more specialists, and more scripts,” said Shravan Gunda, CEO and Founder of Kaarvi.
“Kaarvi changes that model with agentic AI that adapts to the domain it is given, helps resolve data issues as they surface, and keeps the chain from source to dashboard continuously updated. The result is not just faster data management - it is trusted data workflows that require less manual intervention while keeping human review, lineage, and governance built-in.”
The platform assesses compliance posture across GDPR, HIPAA, SOX, PCI-DSS and CCPA, and can run fully on-premises for data that cannot leave the building.