As enterprises continue scaling their cloud environments to support data analytics and artificial intelligence, a new cost challenge has emerged. Data platforms are now among the fastest-growing components of cloud spending, often expanding faster than organizations can effectively manage. PointFive is addressing that challenge with a new expansion of its Cloud and AI Efficiency Platform, adding support for Snowflake, Databricks, and BigQuery alongside its existing coverage of AWS, Azure, and GCP.
The move extends PointFive’s optimization capabilities beyond traditional cloud infrastructure, enabling organizations to analyze and reduce inefficiencies across the full cloud and data platform stack.
A Growing Opportunity to Reduce Data Platform Waste
The growing complexity of data environments can create hidden inefficiencies that quietly increase cloud bills. From oversized compute clusters to unused data pipelines and outdated datasets, waste can accumulate across multiple layers of a data platform.
PointFive’s platform is designed to surface those inefficiencies and help organizations reclaim wasted spending. The system identifies more than 400 potential savings opportunities using its DeepWaste™ detection engine, highlighting areas where resources are underutilized or misconfigured.
By bringing cloud infrastructure and data platforms into a single system, PointFive allows teams to prioritize the highest-impact opportunities and capture savings that can be reinvested into AI workloads, innovation efforts, or broader cloud efficiency initiatives.
Targeted Optimization Across Leading Data Platforms
The newly added capabilities focus on identifying waste within widely used enterprise data platforms.
For Snowflake users, the platform identifies opportunities to right-size warehouses, remove pipelines feeding unused tables, and reduce storage overhead created by Time Travel and FailSafe features.
Within Databricks environments, PointFive analyzes cluster configurations and scaling behavior to better align resources with workload requirements. It can also identify unused tables and volumes that no longer contribute value.
BigQuery environments benefit from insights into reservation waste and slot commitment optimization, along with the detection of jobs feeding outdated or unused data assets.
These insights are designed to uncover inefficiencies that often exist deep inside data pipelines, query patterns, compute infrastructure, and storage layers.
Moving From Detection to Remediation
Identifying waste is only part of the process. PointFive also focuses on helping teams resolve inefficiencies quickly.
The platform generates AI-assisted remediation suggestions in the form of Infrastructure-as-Code. These remediation actions run locally and include built-in human approval steps, ensuring that organizations maintain full control over changes.
PointFive integrates with tools commonly used by engineering and operations teams, including agentic IDEs such as Cursor and Windsurf as well as collaboration platforms like Slack, Jira, and ServiceNow. Each remediation action is tracked against financial outcomes so organizations can clearly measure the impact of optimization efforts.
Designed to Protect Production Environments
The platform is designed to operate without introducing risk to production systems. PointFive works in a metadata-only, read-only model, meaning it analyzes environments without making direct changes to workloads.
Query text analysis is optional, and metadata collection takes place on isolated compute resources to avoid affecting production performance. Dedicated service accounts operate with strictly read-only permissions, allowing enterprises to maintain full governance over their infrastructure.
Context-Powered Intelligence Across the Stack
The platform’s data platform capabilities are powered by InfraFabric, PointFive’s cloud and infrastructure data fabric that continuously maps cost, usage, telemetry, ownership, and system dependencies.
This contextual model enables the company’s AI assistant, Pointer, to explain optimization opportunities in plain language. Instead of navigating dashboards or writing queries, users can see which workloads are driving unnecessary spending, which teams own them, and what actions could resolve the issue.
AI Co-Workers extend this capability further by continuously monitoring environments, surfacing savings opportunities, and routing actions to the appropriate teams within the organization’s governance policies.
Helping Enterprises Turn Optimization Into a Continuous Practice
For many organizations, cloud cost optimization remains a reactive process that occurs only after spending has already increased. PointFive aims to shift that approach by providing continuous, context-aware optimization across both infrastructure and data platforms.
“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 interested in seeing how the platform identifies inefficiencies across their environments can book a demo to explore the platform’s optimization capabilities.