PointFive is redefining how organizations interact with their cloud data. With the launch of Data Explorer, the company is bringing its powerful multi-cloud intelligence layer directly to end users through a natural-language interface. The feature, now live for all customers, sits atop PointFive’s proprietary Data Fabric and gives users the ability to query costs, usage, performance, and efficiency insights across AWS, Azure, and GCP, just by typing a question in plain English.
According to the company, this represents a major step toward democratizing FinOps and engineering intelligence, allowing everyone, not just technical users, to investigate cloud costs and trigger remediation actions with zero setup.
“We use Data Fabric internally to power our DeepWaste engine and externally to deliver cost-cutting opportunities to our customers within minutes of integration,” said Sharon Gross, VP of Product at PointFive. “Data Explorer enables every person in our customers’ organization to access that same highly contextualized, enriched dataset through our innovative LLM interface. Customers can query their data in plain English to answer any questions they have about costs, usage, performance, and saving opportunities. It also serves advanced users who need more in-depth and complex analysis.”
One Schema to Rule Them All
Data Explorer’s strength lies in the schema it exposes, one that unifies billing, usage metrics, audit logs, and discounts from multiple cloud providers into a single, normalized view. While most tools give users fragmented visibility by vendor, PointFive aggregates both horizontal (multi-cloud) and vertical (deep, service-level) insights into one searchable environment.
This means users can run cross-cloud comparisons just as easily as they can drill into specific anomalies within one provider. It also allows organizations to track cost and performance patterns across complex environments without needing custom ETL pipelines or dedicated analysts.
AI That Understands Context and English
What truly sets Data Explorer apart is its use of large language models to translate natural language into SQL and visualizations. That means a finance team member could type, “How much did we spend on idle instances in June?” and get an instant, structured answer, even if they’ve never written a line of code.
This LLM-powered layer is more than a search box. It understands context from PointFive’s enrichment engine, including its prebuilt savings opportunities and recommendations. Users can ask why costs spiked, what services are underused, or how potential changes could improve efficiency, all in a conversational interface.
Speed from Insight to Action
In typical cloud optimization workflows, it can take weeks, if not months, to surface meaningful insights and translate them into action. With Data Explorer, PointFive aims to significantly reduce that timeline by embedding optimization opportunities directly into the platform’s query layer.
Thanks to its native integration with the broader CEPM platform, users can begin identifying cost-saving opportunities soon after setup. There’s no need for consultants, custom scripts, or external dashboards. Everything runs on the same backend infrastructure that fuels PointFive’s automated recommendations.
Now Available to All Customers
Data Explorer is now generally available and can be added to any existing PointFive deployment. The company encourages interested users to request a demo via their website.
About PointFive
PointFive delivers Cloud Efficiency Posture Management (CEPM) to enterprise teams managing resources across AWS, Azure, and GCP. The CEPM platform is a comprehensive solution that combines deep analytics with built-in remediation workflows, helping companies continuously optimize spend, improve cloud governance, and drive operational efficiency.
