Pump.co Targets AI Infrastructure Costs With New Optimization Tools

The platform, which supports AWS, GCP, and Azure, manages over $600 million in annual cloud expenditure across 22 countries. CEO Spandana Nakka notes that while businesses are accelerating AI integration, the lack of clear cost attribution for models and workflows creates significant budget blind spots. Pump addresses this by consolidating spend data from more than 20 integrations, including OpenAI, Anthropic, and Datadog, into a single dashboard.

Beyond visibility, the company distinguishes itself through a risk-mitigation model. It offers uncapped insurance on its recommended cloud commitments, meaning if a client’s usage shifts, Pump covers the resulting financial penalty. This approach has gained traction, with users reporting average monthly savings of 19%, and some reaching up to 60%. By focusing exclusively on the billing layer—eschewing access to proprietary code or network traffic—the platform maintains a security profile suitable for compliance-heavy enterprise environments. As AI usage shifts from experimental to core infrastructure, Pump is positioning its token-tracking capabilities as a primary tool for teams attempting to keep development costs from spiraling.