Smart AI Driven Cost Leak Prevention

AI Powered Platform & Services For Technology Cost Optimization

Our Research concluded widespread COST LEAK in multi-cloud/hybrid environments, apps and services

  • SILOED TOOLS

    Vendor FINOPS tools do not provide the multi-cloud cost leak visibility

  • NOT MATURE

    Cost optimizations are not informed by maturity goals for technology areas

  • PEOPLE DRIVEN

    Cost analysis, remedial actions, governance are mostly people driven

COST LEAK data identified From Research & Analysis

Gartner says lack of multi-cloud optimization loses 30% or more on cloud cost.

Splunk, Datadog, Elastic customers face a choice between keeping data/logs or ~30% perennial overages.

Managed Grafana pay per query results in cost overages upto 50%

Databricks, AWS Sagemaker, Vertex AI data pipelines - 50% people resource capacity goes just for data cleanup.

ROI for Machine Learning programs is unpredictable (only 13% success rate).

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