AI for your business
Most agent steps are routing, extraction and glue. Test right-sized models for those against your evals, and keep frontier models on the steps that need them.
Prefer email? hello@azitalabs.com, subject “Workload evaluation: engineering”
A classifier call that a small model passes cleanly still goes to a frontier model, on every request.
Pass rates and latency have to hold as usage grows, and your customers ask where their data is processed.
Rate limits, deprecations and model changes arrive on someone else's schedule, and your roadmap absorbs them.
An example workflow
Its bot answers customer chats with AI on rented servers abroad, and usage grows with every account. An evaluation could run the team's own chat eval set on right-sized models and compare answer quality, latency and total cost with the current provider.
An example workflow
It turns customer calls into written summaries, and the bank's rules keep customer data where the bank controls it. An evaluation could run a sample of calls where the bank allows, agree the summary checks with its quality team, and compare the output and total cost.
An example workflow
It writes product descriptions and tidies photos for every new listing. An evaluation could take a batch of listings, agree the catalogue checks, and compare the descriptions, turnaround and total cost with today's pipeline.
Every step is judged against your own evals. If a step does not meet your pass criteria, it stays where it is.
Routing, extraction and glue run on models sized to the step. Calls that need a frontier model keep it.
Latency is measured on your own requests next to pass rates, so a step that passes but runs too slowly for your users stays where it is.
Run your workload on capacity from Azita’s installations. Scope the workload and data requirements.
Discuss your workload on the fleetScope the room and workload together. Azita designs, installs and commissions the deployment.
Discuss an installation in your buildingWhere the work runs, which models are used, who has access and how long anything is kept are agreed in your proposal before any work starts. The Trust page sets out custody and residency by side.
Agree a representative job and the acceptance criteria. Compare the output, turnaround, data requirements and total cost before deciding.
Available to evaluate on your own workload.
On the Azita fleet, or on an installation in your building.
We'll review what you need to run and contact you to discuss the right setup.
There is no price list. Your proposal states what is being quoted, the commitment and what is included. Human review, software licences and integration are listed wherever they apply.
Add what you pay for today. It travels with your enquiry as a note, so the comparison starts from the same work.
Prefer to read first? How pricing works
Your eval suite decides. We map each step to the smallest model that meets your pass criteria and run your suite on both stacks side by side. A step that does not pass stays where it is.
Send one production workflow with its eval set and last month's usage. We agree the pass criteria, run the suite on both stacks and set out pass rates, latency and total cost for each step.
Your evals run in CI, and you cut over step by step behind your own flags. Any step that does not pass on the new stack stays with your current vendor.
On the Azita fleet, or on an installation in your building for teams bound by residency clauses. Where the work runs, who has access and how long anything is kept are agreed in your proposal. The Trust page sets out the detail by side.
No availability figure is quoted on this site. Commitments are agreed for your workload, and your cut-over stays behind your flags, so your current vendor remains a fallback for as long as you want one.
Proposal based on your workload and deployment. It states what is quoted, the commitment and what is included before you decide.
Yes. Steps that need a frontier model keep it, and your eval suite decides which steps those are.
Term, what is included, exit and data handling at the end are set out in your agreement before you sign.
Related
Pricing
Proposal based on your workload
Two deployment options, what a proposal needs, and a table for your current AI spend.
Read
Trust
Security and compliance, by side
Custody, residency, the regimes by name, and the honest line on certification.
Read
AzExchange
Metering, with optional selling
AzExchange measures the work. Use all the capacity yourself, or choose to sell surplus. Selling is optional.
Read
A production workflow and its eval set. We agree the pass criteria, then compare output, latency and total cost on the same input.
Arrange a workload evaluation