Build the infrastructure that keeps grandma home.
Home care runs the way it has for forty years — manually, by humans, on phone calls. Every referral fielded by a coordinator on the other line. Every shift filled by a scheduler with a spreadsheet. Behind every missed call is a discharge planner who hangs up and dials the next agency. Behind every unfilled shift is an 82-year-old who didn’t get her bath.
By 2030, 80 million Americans will be over 65. The largest home care agencies in the country are betting they can answer that demand by deploying AI agents across hundreds of branches. Zingage is the operating layer underneath their intake, scheduling, care coordination, compliance, and patient engagement.
Home care runs on people doing the hardest job in any industry — scheduling, coordinating, covering, fielding calls at 2am — without software that was ever built for them.
We’ve done the job. Our team has worked the shifts, taken the calls, and logged the late nights that schedulers live through every day. We didn’t study this problem from the outside. We built from inside it.
Strong opinions. High bar. No interest in doing things the easy way when there’s a better one.
Engineering at Ramp and Datadog. Trading infrastructure at Citadel. Product and operations at Reddit, Uber, and Crowdstrike. Early teams at healthcare AI companies, Tandem & Tennr. Former founders who’ve built and sold companies before this one.
We run on four values. Not aspirations — expectations.
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Customer first. The patient, the caregiver, the agency. When a decision requires a tradeoff, their experience wins.
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High velocity. Speed and direction. We move fast because patients are waiting. We pause when direction is unclear — shipping the wrong thing fast is slower than getting it right.
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Extreme ownership. Own the outcome, not just your tasks. Drive the result. Escalate when blocked. Accept the accountability.
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Care. About your craft, your teammates, and the families depending on what you build. The discipline to give hard feedback, refuse to ship something broken, and notice when someone is struggling.