PointFive vs. CloudFix
Both find waste and apply approved fixes. Compare coverage, depth, and how changes are approved.
The bottom line
CloudFix is a strong choice for AWS-only teams that want standard, AWS-recommended fixes applied after approval, with published prices. PointFive is the better fit when your waste spans more than AWS, or goes deeper than standard fixes, and you want it traced to its technical cause and fixed with the approval level you choose.
Choose PointFive if
- Your bill spans AWS plus Azure, Google Cloud, OCI, Kubernetes, Snowflake or Databricks: 500+ deep detections across 40+ platforms
- You need architecture and configuration waste found, not only standard rightsizing and cleanup
- You also need the AI agents employees run on their workstations governed, with TokenShift
Choose CloudFix if
- You run only on AWS and want a catalog of standard fixes you approve one by one
- You want published, tiered prices bought through AWS Marketplace
- You want commitment-free EC2 discounts through RightSpend
CloudFix
CloudFix is built for AWS only. Its finders read the Cost and Usage Report and CloudWatch without changing anything, and its fixers run as AWS Systems Manager Automation runbooks after you approve them. CloudFix publishes 110+ finders and 53 automated fixers across 30+ AWS services, plus RightSpend for EC2 discounts. Its parent company is Aurea.
What to evaluate with CloudFix
Compare coverage
List the clouds, data platforms and AI services on your bill, and check which product covers each one.
Compare depth
Run both against the same AWS accounts. Compare which findings each one reports beyond standard rightsizing, idle cleanup and storage tiering.
Compare approval and execution
Check which changes each product can execute, the permissions it needs, and how you approve, schedule and audit each change.
How PointFive compares to CloudFix
| Capability | PointFive | CloudFix |
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| Coverage |
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| Detection |
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| Execution |
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| AI scope |
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| Pricing |
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Coverage
PointFive
- 40+ platforms across cloud, data, and AI, including AWS, Azure, Google Cloud, OCI, Kubernetes, Snowflake and Databricks
CloudFix
- AWS only, across 30+ services
Detection
PointFive
- 500+ deep detections, including architecture and configuration waste, traced to the technical cause
CloudFix
- 110+ finders that read the Cost and Usage Report and CloudWatch
Execution
PointFive
- Fixes through IDE prompts or approved automation, with per-change, per-playbook or no approval
CloudFix
- 53 automated fixers that run as AWS Systems Manager Automation runbooks after you approve each change
AI scope
PointFive
- PointFive OS covers AI infrastructure and services; TokenShift governs the AI agents employees run on their workstations
CloudFix
- Savings tracking for SageMaker and Bedrock cleanup, and an MCP server that lets AI assistants query recommendations
Pricing
PointFive
- Annual contract; available on AWS Marketplace
CloudFix
- Published tiers by annual AWS spend, from a free scan to Enterprise from $2,999 per month, billed through AWS Marketplace
How PointFive OS approaches the work
DeepWaste detection engine
500+ research-driven detections across compute, storage, databases, Kubernetes, networking, and AI workloads, with new research informing the detection catalog.
Agentic remediation
AI agents help investigate findings and prepare or execute remediation. Infrastructure changes require customer-authorized write access and approval. IDE-native prompt remediation follows the engineer's own workflow.
AI & data platform optimization
Investigate usage, configuration, and cost across connected cloud, AI, and data platforms. Evaluate optimization opportunities using the available evidence and supported operations.
Pointer & MCP server
Work with Pointer, the AI agent in the Chat module of PointFive OS. MCP Server integration brings optimization into developer IDEs and AI tools.
Sources and evaluation
The documentation behind this comparison, and what to validate in your own environment.
How this comparison was prepared
Written by PointFive using publicly available vendor documentation. This comparison describes documented capabilities; it is not an independent test of product performance.
What to check during evaluation
Confirm the product version and edition, supported integrations, and required permissions. Test with representative workloads to assess results and the effort involved for your team.
Referenced documentation
Sources checked
- CloudFix homepagecloudfix.com (opens in a new tab)
- CloudFix pricingcloudfix.com (opens in a new tab)
- CloudFix fixer catalogcloudfix.com (opens in a new tab)
- CloudFix aboutcloudfix.com (opens in a new tab)
- CloudFix MCP servercloudfix.com (opens in a new tab)
- CloudFix October 2026 updatecloudfix.com (opens in a new tab)
Customer perspectives
Rated 4.9/5 on G2 from 32 reviews.
PointFive vs. CloudFix, answered
Yes. CloudFix is a strong choice for AWS-only teams that want standard, AWS-recommended fixes applied after approval, with published prices. PointFive is the better fit when your waste spans more than AWS, or goes deeper than standard fixes, and you want it traced to its technical cause and fixed with the approval level you choose.
PointFive OS combines infrastructure investigation with customer-defined automation and approved remediation. Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all. Evaluation consideration: List the clouds, data platforms and AI services on your bill, and check which product covers each one.
Evaluate these PointFive OS capabilities against your requirements: DeepWaste detection engine, Agentic remediation, AI & data platform optimization, Pointer & MCP server.
Yes. PointFive OS investigates usage, configuration, and cost across 40+ cloud, data, and AI platforms, and TokenShift complements it as the AI agent control plane for your employee workstations. See the coverage directory for the full list.
Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all. Connection, ingestion, investigation, implementation, and verified savings are separate milestones; their timing depends on the environment.
The comparisons above are for informational purposes only and are based on publicly available information and subjective opinions at the time of publication. While we strive to ensure accuracy and fairness, we are unable to guarantee that all information is complete, current, or free from errors. Comparisons may not reflect all features, performance metrics, or variations of the referenced services, and individual results may vary. We encourage visitors to independently verify any information and conduct their own research before making purchasing decisions.