Completions, chat, pull-request review and tests for delivery teams whose client contracts keep code off the public cloud, evaluated on your own repositories.
Prefer email? hello@azitalabs.com, subject “Workload evaluation: IT services company”
Your delivery teams want coding assistants for completions, review and tests. Many client contracts restrict where source code may be processed, so teams either go without or use tools the client never approved. And each client sets its own rules, so what one project may use, the next may not.
An example workflow
Engineers on a banking project cannot send client code to public coding tools. An evaluation could run the team's own evaluation set where the client contract allows and compare completion quality, review usefulness and total cost with the tools used elsewhere.
An example workflow
Large delivery teams pay for coding assistant seats on every project. An evaluation could take one project repository, run review and test generation, and let the engineering leads compare the output and the total cost.
An example workflow
Code review on fixed-bid projects is a bottleneck before each release. An evaluation could run pull-request review on a sample of merged changes and set the tech leads' judgement next to the total cost.
Every step is judged against your own evaluation set. A step that does not pass stays where it is.
Each client's rules decide which projects take part, and the assistant is evaluated only where that client's contract allows.
Coding assistance compared as one job, next to the tools your delivery teams use today, before you switch.
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 own evaluation set decides. Your engineers compare completions, review comments and tests on your repositories, and anything that does not meet their bar stays where it is.
Share one project repository and the evaluation set your engineers trust. We agree the pass criteria, run completions, review and test generation, and set out quality, latency and total cost side by side.
They keep the editor they use. The assistant points at the agreed location instead of a public service, and you roll it out project by project.
On the Azita fleet, or on an installation in your own building. Where your client code is processed, who has access and how long anything is kept are agreed in your proposal before any work starts.
Proposal based on your workload and deployment. It states what is being quoted, the commitment and what is included, and lists human review, software licences and integration wherever they apply. There is no price list.
Term, exit and what happens to that client's code at the end are set out in your agreement before you sign.
Related
Use case
Engineering teams
From your repositories to completions, chat, pull-request review and tests in the editor your team uses.
Read
Engineering and product
Agents, support, extraction and product features, tested on your own evals.
The page for every kind of work in this group, and how an evaluation works.
Read
Also for
Data extraction
Parsing, classification and field extraction on right-sized models, tested on your own documents. Compare accuracy, latency and total cost first.
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