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About Anavsan

Data teams aren’t paid to watch dashboards—they’re paid to deliver outcomes. Anavsan brings AI‑driven optimization to Snowflake so teams can ship faster, spend fewer credits, and stay compliant without slowing down development. How it works: Workload fingerprinting: Understand what, why, and when your pipelines consume compute and storage. Query Analyzer → Optimizer → Simulator: Detect anti‑patterns, auto‑suggest rewrites, and simulate multiple plan options using metadata—before spending credits. Cost anomaly detection & forecasting: Catch drifts early; forecast credits and spend by team, job, or product. FinOps guardrails: Right‑size warehouses/clusters, enforce auto‑suspend/scaling policies, cap risky runs. Lineage & impact: Trace cost and performance back to datasets, models, and teams; prioritize fixes by business impact. Why Anavsan Action over observation: Not just “where money went,” but how to fix it now. Engineer‑first: Integrated with GitHub/CI so changes are reviewed, tested, and safe. Agentless & secure: Uses platform metadata and logs; no production agents in your jobs. Result: Teams finish their work sooner, avoid surprise bills, and maintain predictable, high‑performing data platforms.

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