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Mavvrik now combines Claude Analytics data with OpenTelemetry activity data to attribute costs across users, teams, sessions, models, and workflows so organizations can investigate, allocate, and govern AI spending more accurately.
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451 Research (S&P Global) examined Mavvrik’s platform, its new Agentic Cost Intelligence SDK, and the Ingram Micro channel partnership. This is what they found.
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AI workloads increase Databricks and Snowflake costs by adding repeated compute, vector search, model serving, embeddings, storage, and inference activity to existing data platforms. This article explains the core AI cost drivers and why FinOps teams need workload-level attribution to measure true AI cost-to-serve.
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