Baseline the bill
Map current model stack, usage, monthly spend, request volume, and cost per successful task.
AI inference cost optimization
Cut AI inference cost without cutting quality.
Benchmark your workload toward 99% AI quality at 10% of today's cost.
ProfitMaxx finds which production requests can leave premium model paths, which requests need frontier fallback, and where 90% savings can become real gross margin.
- Quality
- 99%
- Cost
- 10%
- Minimum fit
- $10k/mo
For high-volume AI bills
Your cost problem is probably a routing problem.
If every request hits your most expensive model, routine work is being priced like edge-case work. ProfitMaxx separates the workload, proves the quality bar, and maps the route mix before production traffic changes.
How the review works
A manual benchmark for teams with real AI spend.
Classify traffic
Separate routine, ambiguous, and high-risk work so the premium model is reserved for the right jobs.
Model 99/10
Define the fallback, validation, and routing policy needed to target 99% quality at 10% cost.
AI inference cost optimization
reduce LLM cost
lower AI inference cost
AI cost optimization
Best fit
Built for teams where AI cost already matters.
The first review is free, but manual. We prioritize teams where the spend, volume, and quality bar make the benchmark worth doing.
- $10k+ monthly AI spend or clear path to that level.
- Repeatable production tasks, support flows, agents, or copilots.
- Enough examples to judge what good output looks like.
- Same-day sales follow-up when the opportunity is qualified.
Free qualified review
See if your inference bill can move to 10% cost.
Share the workload behind the spend. We will qualify whether the 99/10 benchmark is worth your time and follow up quickly if it is.
Best fit: $10k+/mo AI spend, measurable quality bar, and repeatable traffic.