As AI and analytics workloads grow, enterprises are seeing cloud bills spike, often due to inefficiencies hidden deep within their data platforms. Snowflake, Databricks, and BigQuery have become critical infrastructure for modern enterprises, yet misconfigurations, underused compute, and redundant storage can silently drive costs higher. PointFive is addressing this challenge by expanding its Cloud and AI Efficiency Platform to cover these key data platforms alongside AWS, Azure, and GCP.
The expansion enables organizations to gain full visibility into their cloud and data environment, identify waste, and convert that insight into actionable savings that can be reinvested in AI, innovation, or broader efficiency initiatives.
Targeted Optimization for Major Data Platforms
PointFive’s platform is designed to pinpoint inefficiencies and recommend actionable optimizations for each major data platform:
- Snowflake: Right-size warehouses, remove pipelines feeding unused tables, and cut storage bloat from Time Travel and FailSafe features.
- Databricks: Optimize cluster configurations and scaling to match workloads, and eliminate unused tables and volumes.
- BigQuery: Detect reservation waste, optimize slot commitments, and remove jobs feeding stale or unused data assets.
By addressing inefficiencies across compute, storage, and data pipelines, PointFive enables organizations to recover significant costs that might otherwise go unnoticed.
From Waste Detection to Actionable Remediation
PointFive combines its DeepWaste™ detection engine with AI-assisted remediation to not only identify waste but also resolve it quickly. Recommendations are delivered as Infrastructure-as-Code and run locally with built-in human approval workflows, ensuring enterprises maintain control over changes.
The platform integrates seamlessly with developer and collaboration tools, including agentic IDEs like Cursor and Windsurf, as well as Slack, Jira, and ServiceNow. Every action is tracked against actual financial impact, allowing teams to see tangible savings in real time.
Built for Security and Control
PointFive is metadata-only and read-only by design, providing deep insights without touching production workloads or introducing governance risks. Query text analysis is optional, and metadata collection runs on isolated compute resources to prevent any impact on live systems. Dedicated service accounts with strictly read-only permissions maintain full enterprise control while enabling thorough optimization.
Intelligence Across the Full Cloud and Data Footprint
The platform’s expansion is powered by InfraFabric, PointFive’s continuous cloud and infrastructure data fabric. InfraFabric maps cost, usage, telemetry, ownership, and system dependencies into a living model of the enterprise environment.
This model allows PointFive’s AI assistant, Pointer, to provide clear, contextualized insights: which workloads are wasting resources, who owns them, the potential savings, and how remediation can be applied. AI Co-Workers extend this capability by continuously monitoring environments, surfacing optimization opportunities, and routing actions to the appropriate teams, all within governance guardrails.
Making Continuous Optimization a Reality
“PointFive now brings continuous, context-powered optimization to the platforms where some of the most significant and fastest-growing cloud spend lives. The same intelligence, the same results — across the complete stack,” said Sharon Gross, Vice President of Product at PointFive.
Organizations looking to uncover hidden inefficiencies and capture measurable savings across their cloud and data platforms can book a demo to see PointFive in action.
