AWS tells you what you spent. Model Optimizer tells you why — and what to do about it. AI Operational Intelligence for AWS Bedrock.
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Every AI organization faces the same operational challenge: the gap between what AI systems are doing and what the people running them actually know.
AI Operational Intelligence is the operational discipline of observing, understanding, and improving AI systems through the continuous analysis of production AI operations. Model Optimizer implements it through its Evidence → Intelligence → Decision methodology.
AI Operational Intelligence closes that gap — continuously, at the invocation level, from the data your AWS Bedrock environment is already generating.
Explore the Capability Radar →Every capability on the platform follows one sequence.
Your AWS Bedrock environment already generates the most comprehensive AI operational data available — free, at the invocation level, from AWS infrastructure itself. Model Optimizer reads it from your own S3 bucket.
Four operational intelligence capabilities transform that data into insight your team can act on: AI Monitoring, AI Model Capability, Model Fitness, and Prompt Optimization.
Every intelligence surface exists to support one outcome — better AI operational decisions: model selection, prompt rewrites, cost optimization, and continuous validation.
Four capabilities. One data source. Every decision grounded in evidence.
Continuous operational visibility across your AI environment — cost by model, token consumption, error rates, and usage trends. Monitoring never stops.
Explore AI Monitoring →Benchmark-driven evaluation of what every model can do — across 11 standardized task dimensions, with score, rank, percentile, and source attribution for every result.
Explore AI Model Capability →The evaluation layer that moves from what a model can do to whether it is the right model for the work you actually do — anchored to your current model, your workload, and your cost constraints.
Evaluate Model Fitness →Active improvement of the real production prompts running in your AI environment — identified from your invocation logs, analyzed by severity, rewritten with every change explained, and tested in the Playground before deployment.
Explore Prompt Optimization →The intelligence capabilities exist to support two outcomes: improved AI capability and reduced AI operating cost.
Optimization without monitoring is a hypothesis, not a result.
Model Optimizer Services deliver expert AI optimization support at every stage — from initial assessment through implementation, optimization, and ongoing operational discipline. For any organization running AI on AWS Bedrock.
A complete, searchable reference for Amazon Bedrock pricing — on-demand and batch, updated automatically from official AWS data. Free, no account required.
Explore Bedrock Pricing →Your AWS Bedrock environment is already generating the operational data you need. Model Optimizer connects to it, analyzes it, and surfaces the intelligence required to improve AI capability and reduce AI operating cost — starting with a free account. No code changes. Read-only access via IAM role.
Get Started FreeFrom category to platform — the framework behind everything Model Optimizer does.
Improved AI Capability + Reduced AI Operating Cost