$60M Raised
$100M raised to date
PointFive turns deep cloud and AI waste into auditable, merged remediation in minutes, not months. Built for FinOps and engineering teams who actually have to ship the fix.
Existing FinOps tooling stops at dashboards. Engineering teams are left to triage waste. PointFive automates the loop, from finding, to fix, to ROI.
Two engines that work together. The detection engine reads your environment the way an expert would; the remediation engine writes the pull request, opens the ticket, and tracks it to completion.
Goes beyond utilization. PointFive correlates configuration, telemetry, code and commitments to surface why a resource is wasteful, not just that it is. Works across AWS, Azure, GCP, Kubernetes, Snowflake and Databricks.
PointFive's remediation workflow drafts the PR, opens the Jira ticket, pages the owner in Slack, and verifies the fix lands. Engineering keeps control; FinOps gets evidence.
infra/eks-platform#3471MergedEvery opportunity carries an owner, a risk profile, a remediation path, and a savings estimate. Drill from a $12.4K finding to the YAML line that caused it, without leaving the platform.
Authorize PointFive against AWS, Azure, GCP, Kubernetes, Snowflake or Databricks. PointFive does not require data-plane access. Findings start after the integration is connected.
PointFive's detection engine inspects configuration, telemetry and code. Every finding ships with risk, effort, owner and a deterministic remediation, ready to be reviewed.
Approve a PR, dispatch a Jira ticket, or route to Slack. PointFive verifies the change in production and books the realized savings back to your FinOps ledger.
PointFive reads the cloud accounts you already run and writes back through the developer tooling your team already uses. No software installs on hosts, no proprietary IaC.
Stop chasing engineering with spreadsheets. PointFive routes every finding to the owner who can fix it, then tracks the change all the way back to your committed budget, so a forecast is a forecast, not a wish.
Findings show up where engineers work: in Slack, in Jira, as drafted PRs against the actual Terraform module. Effort estimates and rollback paths included.
#platform-cost-alerts
eks-prod-cluster-1Get a board-ready view of unit economics across every business line: GPU spend, model-serving cost per inference, infrastructure per ARR. With a paper trail.
"PointFive found waste below the dashboard line and made it safe for engineering to act."
Read-only connection. No data plane access. Findings within minutes of integration.