Expose the margin leak
Break requests into routine, ambiguous, and high-risk work so premium models stop handling tasks cheaper routes can solve.
ProfitMaxx for production AI teams
Frontier-grade outcomes at one-tenth the inference spend.
ProfitMaxx turns high-volume AI workloads into a routing system built to deliver the same customer experience at one-tenth the inference spend.
The 99/10 promise
If your product calls a frontier model for every request, your AI bill is priced for worst-case work. ProfitMaxx separates routine from high-risk traffic so 90% savings becomes an operating target, not a vague optimization idea.
How it works
Break requests into routine, ambiguous, and high-risk work so premium models stop handling tasks cheaper routes can solve.
Test routed model mixes, checks, retries, and fallbacks against your real quality bar until the customer-visible output holds.
Leave with the traffic split, escalation policy, and rollout path designed to turn inference spend into gross margin.
The promise
We benchmark your workload against a routed model mix designed to preserve the answers customers notice and strip cost from the requests they do not.
Where it pays
Cut the cost of summaries, triage, reply drafts, and account-history work without dulling the customer experience.
Move repeatable workflows to lower-cost routes while keeping escalation rules for anything sensitive or unusual.
Keep premium user moments sharp and stop spending frontier-model money on routine product interactions.
Buyer questions
ProfitMaxx is an AI routing and benchmark service built to deliver 99% frontier-model quality at 10% of the inference cost for qualified production workloads.
It is for B2B teams with repeatable AI workloads in support, operations, internal tools, analytics, or product copilots where a 90% cost reduction would materially improve margin.
No. We prove the 99/10 route against your current workload first, then define what should move, what should fall back, and what should stay on frontier models.
Whether your real workload can hit the 99/10 target, including model stack, volume, spend, quality bar, latency tolerance, fallback needs, and route-level savings.
Get the 99/10 review
Share the spend, volume, and workflow context behind your AI bill. If the 90% savings opportunity is real, we will move fast on the benchmark path.
Best fit: meaningful AI spend, repeatable workloads, and a team that can judge 99% frontier-model quality.