Tel Aviv, March 11th, 2026- PointFive today announced support for Snowflake, Databricks, and BigQuery, extending its Cloud and AI Efficiency Platform beyond AWS, Azure, and GCP to cover the full cloud and data platform stack.
Data platform spend now represents one of the fastest-growing components of cloud cost. PointFive now addresses the annual multi-billion dollar market opportunity in data platform misconfiguration, unlocking savings that teams can reinvest in AI workloads, drive innovation, or use to reduce total cloud spend. PointFive does this by unifying cloud infrastructure and data platforms in a single system, allowing teams to utilize its 400+ Savings Opportunities and surface waste through its DeepWaste™ detection engine.
PointFive identifies the highest-impact savings opportunities, validates them with full technical context, and facilitates frictionless remediation through agentic workflows embedded directly into existing tools. This allows teams to eliminate waste without lengthy investigations or context switching.
PointFive's expansion into data platforms brings the same accuracy, context, and remediation rigor that enterprises rely on for cloud infrastructure optimization across AWS, Azure, and GCP. Its proprietary waste engine identifies and ranks savings opportunities that exist deep within data pipelines, query patterns, compute and storage.
PointFive brings optimization to every layer of your data platform:
Once waste is identified, agentic remediation helps close the loop. One-click, AI-generated remediation delivers IaC-native code that runs locally, with built-in human approval flows ensuring every fix stays under your control. AI-assisted remediation integrates directly into agentic IDEs (Cursor, Windsurf) and tools like Slack, Jira, and ServiceNow. Every action is tracked to real financial impact, delivering validated savings.
PointFive is metadata-only and read-only by design, ensuring comprehensive optimization without touching production workloads or introducing governance risk. Query text analysis is opt-in and metadata collection runs on isolated compute resources that have no impact on production environments. Dedicated service accounts with strictly read-only permissions ensure enterprises maintain full control.
"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."
— Sharon Gross, Vice President of Product, PointFive
PointFive's expansion into data platforms is powered by InfraFabric, its continuous cloud, AI, and infrastructure data fabric that maps cost, usage, telemetry, ownership, and system dependencies into a living model of the entire environment. It is the connective tissue between cloud infrastructure and data platforms, and it's what makes AI-powered optimization meaningful at this layer.
When someone asks about a savings opportunity across their data platform, PointFive’s AI assistant, Pointer, doesn't return a dashboard link. It delivers a fully contextualized answer in plain language: which workloads are driving unnecessary spend, which teams own them, what the savings potential is, and what remediation looks like. No SQL. No ticket to a team with deeper technical expertise. Just a clear answer, grounded in the full context of the environment.
That same context powers PointFive's intelligent teammates, AI Co-Workers. They turn optimization into a frictionless continuous practice. Anyone can configure an AI Co-Worker to continuously monitor data platform environments, surface savings opportunities, and automatically route the right action to the right team, all within the governance guardrails the organization requires.
PointFive brings an optimization practice built for the way Enterprises actually operate- continuously, across every layer of the stack, with the intelligence and control large organizations require.
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