AI fitted to how your business runs.
Every business has its own work, rules, and priorities. Telchines software starts from yours. It tests AI against them, puts every change through the same process as you grow, fits models to where you already run, and reports results you can measure. Your team runs it day to day.
Evaluate
Tested against your work and your criteria
Held to the standard your business already keeps, not a public leaderboard.
Scale
A process that scales with you
Every update runs the same test and the same controls, so the next workflow doesn't start from zero.
Fit
Fitted to your environment
Runs in your cloud or on hardware you control, sized to the job.
Results
Results you can measure
What it got right, what each task costs, and how long the work takes.
Evaluated against your workflows and your criteria
Public scores measure someone else's work. The software tests AI on yours: your documents, your edge cases, and the bar your team already holds people to.
- Real cases, not leaderboardsThe test is built from the work your team actually does, including the cases that tend to go wrong.
- Your definition of goodAccuracy, tone, speed, cost, and what must never happen. You set the bar, and the AI is held to it.
- Pass or fail, and whySecurity, finance, and engineering read the same record of what passed, what failed, and the reason.
A process that scales with your business
The first workflow is the hard one. After that, every new use and every update goes through the same test and the same controls, so the next one does not start from zero.
- Retested before it goes liveA new model, prompt, or tool runs the same test first. Nothing reaches your customers untested.
- Only tested AI gets the keysEach approved workflow gets its own access, its own budget, and a record of every call. Someone on your team can switch it off.
- Builders don't grade their own workThe people who build a change are not the ones who approve it, which gives your auditors a clean line.
Fitted to your environment
Your AI should fit where your business already runs, and be sized to the work it does.
- Your cloud or your hardwareGoogle Cloud, AWS, Azure, or dedicated machines you control. Your data stays inside that boundary.
- No giant-model prices for routine workOnce the bar is set, a smaller, faster model is fitted to your data and has to clear it before it goes live.
- Re-tested as things changeModels, chips, and software change underneath you. Every change is re-tested automatically, so a quiet change doesn't become a quiet failure.
Results you can measure
Each step ends in numbers leadership can read: what the AI got right, what it costs, and how fast it does the work.
- What it got rightPass rate on your own cases, with every failure sorted by cause.
- What each task costsCost per task for each workflow, before and after.
- How long the work takesTime per task under the load your team actually puts on it.
Free first step
Readiness Check
Two minutes to see whether your AI projects will hold up in daily operations. You get a score, a plain verdict, and the first thing to fix. It runs in your browser and asks for nothing until you choose to send the result.