Cost per feature, model cascades, caching and local models, with automated quality evaluation so the savings don't cost you results.
Your AI API bill grows every month, and nobody knows what each feature costs or whether a smaller model would do the job.
We measure cost and quality per task, then set up a cascade (cheap model first, expensive one only when needed), caching, leaner prompts and, where it makes sense, local open-source models. Automated evaluation keeps quality in check.
We measure cost, tokens and latency per feature from your usage logs.
Simple tasks go to a cheap model; the expensive one steps in only when needed.
An evaluation suite measures quality on every change, before it reaches production.
Caching, leaner prompts and, where it makes sense, local models cut the monthly bill.
A predictable AI bill. You know what each feature costs.
Savings without quality loss. Every change is validated by an automated evaluation suite.
Less vendor lock-in. Model cascades and the option of local models.
What we measure
Metrics are agreed before we start. With the numbers in hand, you decide whether to move to production.
Pricing
Custom quote after a free assessment
Billing: fixed-price project or, as an option, 15 to 25% of the savings measured in the first year, with a cap.
Every project is quoted in writing after a free assessment, in US dollars or euros.
Entry offer
from US$ 1,900
Timeline: 10 business days
Starting price for the scope described. Larger volumes and extra integrations go into the proposal, always in writing before work starts.
Industries where this service comes up most:
Every project is quoted after a free assessment, based on scope, volume and the systems involved. To start with a fixed scope, the “AI cost review” offer starts at US$ 1,900 and takes 10 business days. You get a fixed-price proposal in writing before any work starts.
The pilot takes 2 to 4 weeks. Typical scope: the three features that spend the most.
Yes, as an option: 15 to 25% of the savings measured in the first year, with an agreed cap and a single owner on your side. The default is a fixed price.
It depends on volume and the task. The evaluation compares quality and cost before any switch.
Who builds it
AI engineer · Joinville, Brazil
Five years of software development and AI systems in production. The person who handles your project is the one who designs it and writes the code.
Free assessment
Tell us how the process works today, the rough volume and the systems involved. If it makes sense, you'll get a pilot proposal with scope, timeline and metrics.
Tell us about the process, the rough volume and the systems involved. You'll hear back from the engineer who would build it.
From “we want to use AI” to a measured pilot in production, with security and privacy built in.
LLMs running on your own servers, tuned to your vocabulary, with no sensitive data leaving the building.
Inventory, risk classification, technical evaluation and documentation of your AI systems to answer customers in the EU and the US. A gap assessment, not a certification.