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Your frontline workers see risks before anyone else does. The pump that's been running rough for two weeks, the shortcut everyone takes when the schedule slips, the guard that got removed and never went back on. Most companies have no reliable way to capture what workers know, verify the fix actually happened, and prove it to the people who own the loss number. Teamforce AI is the System of Proof for companies that retain their own risk: group captive members, high-deductible programs, and self-insured operations. The economics are simple. Retained loss is frequency times severity, and frequency is the lever you actually control—the same lever that drives your EMR. An uncaptured near miss becomes next quarter's claim. An unverified fix becomes next year's repeat incident. The gap between what's documented and what's happening on your floor is a financial leak that hits cash this quarter, not at renewal. Record-keeping systems store what got logged. Connected worker apps coordinate tasks. But your workers know what's coming before it shows up on video or in a form—and none of those tools captures what they know. That's the gap Teamforce closes. It runs on the floor, not over it—anonymous, in the natural flow of a shift, and operations never slow down. Workers tell it what they'd never put on a form, because nothing traces back to them and they watch the fixes land. • Surface Hidden Risks: Catch what suggestion boxes, hotlines, and EHS apps miss • Verify Fixes: Confirm via worker attestation the fix landed on the floor, not just in a dashboard • Quantify Avoided Loss: Auditable proof of the claims that didn't happen—and what they were worth One site. Minimal IT. If the floor doesn't tell you something you didn't know in 30 days, we stop. If you run operations, safety, or own the loss-cost number, let's talk. We'll show you how to protect EBITDA by surfacing the claims your current systems never saw coming.

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Vivek Kumar is the CEO and Co-Founder of Teamforce AI.

4 people are employed at Teamforce AI.

Teamforce AI is based in San Francisco, California.

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