As AI and analytics workloads grow, cloud and data platform costs are rising faster than many organizations can track. Snowflake, Databricks, and BigQuery are now central to enterprise data operations, yet inefficiencies such as unused tables, oversized compute clusters, and redundant storage can quietly drive up bills. PointFive is expanding its Cloud and AI Efficiency Platform to address this challenge, now supporting these major data platforms in addition to AWS, Azure, and GCP.
The platform provides enterprises with visibility, actionable insights, and tools to reclaim wasted resources, helping teams reinvest in AI, innovation, or broader operational priorities.
Pinpointing Waste Across Leading Data Platforms
PointFive’s DeepWaste™ detection engine identifies more than 400 potential savings opportunities across both cloud infrastructure and data platforms. Its insights target areas where inefficiencies persist and provide full technical context, helping teams prioritize the highest-impact opportunities.
Platform-specific optimizations include:
- Snowflake: Right-size warehouses, remove pipelines feeding unused tables, and reduce Time Travel and FailSafe storage overhead.
- Databricks: Align cluster scaling and configurations with workload requirements while removing unused tables and volumes.
- BigQuery: Detect reservation waste, optimize slot commitments, and eliminate jobs feeding stale or unused datasets.
These recommendations reach deep into pipelines, compute, storage, and query layers—areas where traditional monitoring tools often fail to provide visibility.
From Insight to Action
PointFive doesn’t just detect waste; it helps teams act on it. AI-assisted, agentic workflows generate Infrastructure-as-Code fixes that run locally and include human approval steps to maintain control.
The platform integrates seamlessly with developer and collaboration tools including Cursor, Windsurf, Slack, Jira, and ServiceNow. Each remediation action is tied to measurable financial impact, allowing organizations to validate the savings realized.
Security and Governance First
PointFive is metadata-only and read-only by design, providing deep insight without touching production workloads or introducing governance risk. Metadata collection runs on isolated compute resources, and query text analysis is optional. Dedicated service accounts with strictly read-only permissions ensure enterprises maintain full control over their environments.
Context-Powered Intelligence With InfraFabric
The expansion is powered by InfraFabric, PointFive’s continuous cloud and infrastructure data fabric that maps cost, usage, telemetry, ownership, and system dependencies into a living model of the entire environment.
This context enables PointFive’s AI assistant, Pointer, to provide plain-language answers about savings opportunities, identifying which workloads drive unnecessary spend, which teams own them, the potential savings, and how remediation can be applied. AI Co-Workers continuously monitor environments, surface opportunities, and route actions to the right teams while staying within governance guardrails.
Continuous Optimization Across the Stack
“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 seeking to uncover hidden inefficiencies and capture measurable savings across their cloud and data platforms can book a demo to see the platform in action.
