Model Optimizer

Find expensive model usage and convert it into savings.

Analyze model mix, identify low-risk substitutions, and estimate monthly savings.

Cost

Verified

Control

Verified

Savings

Verified

Live Workflow

Model optimizer workflow

Online
1

Analyze model mix

Rank models by cost, token volume, provider, feature, and workload type.

2

Find substitution candidates

Identify workloads that may move to cheaper models with acceptable quality risk.

3

Estimate savings

Calculate estimated monthly savings from route changes and model substitutions.

4

Prioritize actions

Rank recommendations by impact, confidence, and implementation effort.

Problem

The operational gap

Teams often use premium models for workloads that cheaper models can handle. The optimizer turns model mix into savings opportunities.

Outcomes

What this unlocks

Each page is designed to explain the product value before the backend is fully wired.

Lower AI cost

Move wasteful workloads away from premium model usage where appropriate.

Clear savings estimate

Show estimated monthly savings before engineering touches routing logic.

Safer rollout

Prioritize changes with confidence and risk labels.

Modules

Product modules

A complete surface area for marketing, trials, and progressive backend integration.

Model spend leaderboard

The most expensive models and usage categories ranked by cost impact.

Savings simulator

Estimate what happens when workloads move to lower-cost model routes.

Recommendation queue

Approve, reject, or schedule model optimization actions.

FAQ

Common questions

Short answers for buyers, operators, and early trial users.

Will this automatically change models?

The initial product should recommend changes first. Automated routing can come later.

How are savings estimated?

By comparing current usage mix against lower-cost model alternatives and pricing assumptions.

Start now

Turn AI spend into a clear action plan.

Launch the web surface first. Connect real usage, billing, and automation in controlled batches after prospects can understand and try the product.