Use cases
Six moments when a lesson gets lost, with the real cost, and how Tacite would watch the work and tell people the moment the mistake happens.
Choose the moment that feels familiar
Laser and plasma research
A gas flow meter read 5% instead of 100%. The team lost two days finding it.
A researcher traces the bad reading to its cause and fixes it.
The cause, the check that confirmed it, and the setup it affects
If the meter reads wrong during the next test, Tacite would tell the team right away and show the fix, saving the two days this one lost.
Biology labs
Up to 36% of lab cell lines are mislabeled or contaminated, yet only a third of labs check. U.S. labs spend $28 billion a year on research no one can repeat.
A senior scientist makes an identity check a required step before new work.
The check, when to run it, and the lost work it prevents
If a lab member starts work on an unchecked cell line, Tacite would tell them right away. Wider checking could put nearly $750 million a year to better use.
Dams and flood control
Oroville Dam’s spillway cracked soon after it was built, and for decades repairs were treated as routine. In 2017 it failed: 188,000 people evacuated, $1.1 billion to fix.
An engineer flags that the same cracks keep coming back after each repair.
The crack history, past repairs, and why they did not hold
If an inspector calls a repeat crack routine, Tacite would tell them right away and show the full repair history.
Construction fire safety
U.S. fire crews respond to about 4,440 fires a year in buildings under construction, causing $370 million in damage. Electrical and lighting equipment causes 46% of that damage.
A safety lead sets the site’s rules for temporary wiring and lighting.
The wiring rules and the fire risk behind them
If temporary wiring breaks the site’s rules, Tacite would tell the crew right away, aimed at about $170 million a year in damage.
Construction
Concrete that freezes before it reaches 500 psi can be damaged by a single freeze. The industry guide counts any pour below 40°F (4°C) as cold weather.
A site manager writes down the site’s cold-weather steps.
The 40°F trigger, the protection steps, and the reason
If someone plans a pour below 40°F without the steps, Tacite would tell them right away, before the concrete arrives.
AI agents in the lab
An AI agent that plans or runs a test does not know what went wrong last month.
Experts have already approved fixes for the people on the team.
The approved fixes that match the agent’s next task
Tacite would watch each plan the agent makes and tell it right away when a step breaks an approved fix.
How it works
It notices when an expert corrects something. There is no new form to fill in.
Tacite drafts a fix card. The expert edits, approves, or rejects it before anyone else sees it.
Tacite watches while people and AI agents work. When someone makes a mistake an expert already solved, Tacite tells them right away and shows the approved fix.
Where Tacite runs, where your data lives, and what gets shared are set up to match your company’s needs.
Start with one repeated mistake
Tell us the mistake, how your team handles it today, and what catching it earlier would save.
Describe your use case