What we believe
Tracking alone is not enough. Hours and keystrokes tell a manager that time passed; they do not tell her what happened, where the work got stuck, or who needs help. We believe the record of work itself, understood by AI and presented honestly, is the most useful management tool a distributed team can have.
We also believe oversight has to respect the people being recorded. That is why consent, notice, retention limits and destruction schedules are built into the product rather than written into a policy nobody reads: workers see what is captured, biometric verification requires an explicit written release, reference photos are destroyed on a published schedule, and customers control how long recordings live.
What we build
OnTask.AI is a platform, not a plug-in. Capture runs in the browser's own screen-share capabilities, so rolling it out takes minutes and no IT project; a desktop app and multi-screen capture cover the rest. Behind the capture, an asynchronous pipeline reads the screen, describes it, classifies it against the job, verifies identity by face when the customer enables it, and checks schedules. In front of it, leaders get live views, timesheets, projects and reports, plain-language questions, searchable moments and stories of how work actually got done.
Explore the intelligence layer, the feature set and how it works, or request access.