Most companies waste 40-60% of their AWS Bedrock spend using expensive models for simple tasks. Model Optimizer shows you exactly where—and how to fix it.
23% of Claude Sonnet calls could use Haiku. Switch to save $8,240/mo
AWS tells you that you spent $47,000 on Bedrock. It can't tell you why, or what to do about it.
Your billing shows a single line item that grows every month. Which models? Which use cases? Which teams? Total mystery.
Developers default to the most powerful model. Claude Sonnet for everything. But most tasks work fine with models that cost 10-20x less.
Unlike over-provisioned EC2 instances, LLM waste is invisible. The expensive model returns correct answers—no error, no alert.
Token limits, rate limiting, throttling—these surface as user complaints, not monitoring alerts. You find out weeks later.
Model Optimizer connects to your AWS Bedrock logs and answers the questions traditional FinOps tools can't.
We analyze your prompts to rate task complexity, then match against model capabilities—like finding over-provisioned EC2 instances.
See every Bedrock call broken down by model, region, and time. Know exactly what's driving your spend.
Catch token limit failures, rate limiting, and throttling before your users complain.
Track growth over time. Correlate spikes with deployments. Forecast future costs.
Get insights in under an hour. No code changes required.
Sign up for free. No credit card required.
Enable Model Invocation Logging in AWS and grant us read-only access. We'll walk you through it—takes about 10 minutes.
View your usage analytics and optimization opportunities within hours.
No access keys exchanged. No code changes. No SDK integration.
Start free, upgrade when you need more.
Need consulting services? We offer hands-on optimization implementation, prompt engineering, and architecture review. Contact us
Join companies saving thousands on their AWS Bedrock bills.
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