Your cloud & AI efficiency platform,
Coverage across Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Run, Vertex AI and more. See every dollar, find waste others miss, and prove the savings.
120+
GCP detection types
<15min
Time to deploy
25%+
Average savings
What We Deliver
Complete GCP cost optimization, end to end
Complete Cost Visibility
See every dollar across GCP services — compute, storage, databases, BigQuery, and networking.
- Project-level and service-level cost breakdown
- Label-based cost allocation and attribution
- BigQuery slot and query cost analysis
- Anomaly alerts before budget impact
Intelligent Savings
DeepWaste™ uncovers what GCP Recommender misses — from persistent disk waste to logging bloat.
- Compute Engine rightsizing & scheduling
- Persistent disk type and snapshot optimization
- Cloud Logging bucket architecture analysis
- BigQuery slot and storage optimization
Verified ROI
Findings flow to where engineers work — with tracking to prove what was fixed.
- Agentic remediation workflows
- Slack, Jira, Teams, ServiceNow
- Resolution tracking & validation
- Custom dashboards per team
What We Detect
A sample of 120+ GCP optimizations
Missing Autoclass on GCS Buckets
Seen in 78% of GCP environments. GCP Recommender suggests per-object class changes but never recommends enabling Autoclass itself — which automates everything with a one-line command.
Suboptimal GCS Soft Delete Policy
A newer GCP feature that defaults to 7-day retention. On high-churn buckets, costs compound silently. No native tool flags this — PointFive identifies the highest churn-to-retention cost ratios.
Underutilized Cloud SQL Instance Storage
GCP Recommender handles CPU/memory rightsizing but doesn't analyze storage provisioning vs. actual usage. Over-provisioned Cloud SQL storage is invisible to native tools.
Suboptimal Managed Instance Group Types
Recommender only targets individual VMs. PointFive analyzes MIG templates and recommends machine type changes at the template level — rightsizing across all instances in the group.
Suboptimal Cloud Logging Architecture
Log routing and storage tier configurations that silently accumulate cost. PointFive analyzes Cloud Logging bucket architecture for cost efficiency — routing verbose logs to cheaper storage.
GKE Workload-Level Rightsizing
Agentless Kubernetes optimization for Deployments, DaemonSets, StatefulSets, and CRD-managed workloads on GKE — no sidecar or agent deployed on your clusters.
The cross-stack advantage no GCP-only tool can match
PointFive sees your GCP environment and every layer above it — Kubernetes workloads on GKE, AI training on Vertex AI, analytics on BigQuery. We coordinate Cloud Storage lifecycle policies with application patterns, detect logging architecture inefficiencies, and find savings at the intersection that no point tool ever could.
Why PointFive
Built for engineering teams that move fast
Fast Time to Value
Agentless deployment in under 15 minutes. No agents, no code changes, no downtime.
AI-Powered, 24/7
Continuously monitors and acts on your environment with intelligent automation.
Zero Savings Gaps
Full coverage across cloud, PaaS, data & AI. No blind spots, no missed savings.
No Context Switching
Engineers fix issues in the tools they already use — Slack, Jira, Teams, ServiceNow.
Up and running in under 15 minutes
- 01Connect your GCP project with a read-only service account
- 02PointFive auto-discovers all services and resources
- 03DeepWaste™ begins scanning and identifying optimizations
- 04Review prioritized findings and start saving
Built for security-conscious teams
- Read-only access — we never modify your resources
- Dedicated service account with minimal IAM roles
- Data encrypted in transit and at rest
- SOC 2 Type II compliant
- No agents to install or maintain
FAQ
Common questions about GCP optimization
Get Started
See everything. Find savings others miss. Prove the impact.
Connect your GCP project in under 15 minutes. See your first optimization opportunities within 48 hours.