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PerUnit vs AWS Bedrock
Managed AI models on AWS infrastructure
AWS Bedrock gives you access to foundation models (Claude, Titan, Llama, and more) through AWS infrastructure. Its Cost Explorer and CloudWatch metrics show aggregate spend and invocation counts — but they don't attribute costs to individual customers or product features. PerUnit is purpose-built to answer the business question: which customers and features are driving your AI bill, and are they profitable?
AWS Bedrock website →Feature comparison
| Capability | PerUnit | AWS Bedrock |
|---|---|---|
| Cost per customer | ||
| Cost by pricing tier (Free / Pro / Enterprise) | ||
| Cost by AI feature | ||
| Revenue vs. AI cost margin (Stripe integration) | ||
| Total spend and usage by model | ||
| Native AWS billing and Cost Explorer integration | ||
| Multi-provider view (OpenAI + Anthropic + AWS) | ||
| No data engineering team required |
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When AWS Bedrock is a better fit
- You're already on AWS and need models inside your VPC
- You need compliance or data residency on AWS infrastructure
- You're consolidating cloud billing under a single AWS account
- You need access to AWS-only models like Titan or Llama on Bedrock
When PerUnit is a better fit
- You need to attribute AI costs to specific customers or features
- You want to know if free-tier users are eating your margin
- You need revenue vs. AI cost analysis (Stripe integration)
- You're using OpenAI or Anthropic directly and need unit economics
Need cost attribution, not just totals?
PerUnit breaks down your AI spend by customer, feature, and pricing tier — and connects it to revenue. $199 $99/mo early access.
Get early access to PerUnit