NEW: Company Deep Dive — Zingage
We sat with Co-Founder/CEO Victor Hunt to explore how Zingage is building an AI operator for home care agencies.
Inside: why home care needs an orchestration layer, how AI handles scheduling and call-outs in real time, and overall ROI.
Link 👇
Everyone's dunking on Medicaid home care this week. I downloaded the full 10.3GB HHS dataset and analyzed $122 billion in personal care spending.
93% of providers have stable billing. The "fraud explosion" is rate increases from minimum wage laws and more people enrolling in home care.
The viral takes are from people who don't understand that billing addresses aren't service addresses. A Brooklyn office processes claims for caregivers across the entire state.
Real fraud exists in this dataset. It's in behavioral health and labs, not personal care. The median personal care provider has been billing for 42 months. Behavioral health: 15 months. Different universe.
Full analysis and methodology:
Home care is going to be the most important deployment of robotics
Thank you @thejesonlee for featuring @ZingageAI at the inaugural Choose Good Quest conference ❤️
Next Wednesday (Nov 5, 7 PM) we’re teaming up with @SofiaGuerraR from @BessemerVP for a Pizza Night on AI in Healthcare.
Come hang with the team - ex-Uber, Ramp, Datadog, Tennr - as we dig into the hardest technical problems we’re tackling:
🗣️ Voice AI that’s multilingual, runs real-time tool calls, and maintains secure conversational memory
🤖 Multi-agent triage systems that coordinate across caregiver calls, EMR data, and shift events
🩺 Self-healing data platform powering thousands of healthcare automations every day
If you like messy systems, high stakes, and shipping fast, we’re hiring Founding Engineers, New Grads, and 2026 Interns in NYC 🗽
Partiful link in comments 👇
Quite possibly the best @HCAOA conference I've attended. We had an overflow crowd for our Home Care Epic Fails talk, a line of people who stayed later w/follow up questions, & already several new clients. @ZingageAI even built an AI tool based on our presentation. Amazing.
Meet Eric, THE INTERN @zingageai
I had a lot of internships in school. Google, Deutsche Bank, Bloomberg, PE, real estate, big law. Most sucked because most internships are just status orgies for resume padding. The projects are scoped to irrelevant silos with a demo day to hand out participation trophies.
To understand the point of an internship, you have to go back to its origins: apprenticeship. Before there was school and YouTube, people learned by shadowing under a master. Being an apprentice was competitive and hard work. Masters didn’t have time to waste on anyone unserious about joining the trade.
So many legendary founders and inventors started as apprentices. Ben Franklin, Walt Disney, Thomas Edison. These people chased curiosity and knowledge not status or TC.
Fast forward to the internship. It’s the same form but hollowed out. A system meant for teaching the craft got industrialized into one that teaches compliance. You’re told to network, smile, and make decks. The output isn’t skill, it’s access.
The only useful internships I ever had were the ones where I was thrown into the deep end with real deadlines, real stakes, no script. That’s when you actually learn. Not when you’re rotating through teams or shadowing a VP who doesn’t remember your name.
The best internships feel least like internships. They feel like work. Like apprenticeship. Like earning your place.
An incoming intern asked me for advice. I told him the most important thing is knowing your strengths and then putting yourself in situations that expose your weaknesses. If you’re methodical, find chaos. If you’re fast, slow down and think through your second-order effects. If you’re used to having time, force yourself to ask, “How great can I make this in two days?” That mindset forces you to trade scope for impact and teaches you how to separate what’s essential from what’s just activity.
Startups are the perfect lab for that. You don’t have the luxury of perfection, only the responsibility of progress. You learn how to move fast without breaking what matters. You learn what’s actually valuable versus what just looks valuable.
The smaller the team, the faster you learn. It’s not about titles or structure or who’s managing you. It’s about velocity. You get out what you put in. And if you’re serious, the work will stretch you more than any classroom ever could.
That’s what apprenticeship always was. And that’s what a real internship should be.
Each time our Voice AI makes a call, it has to read from the our customer’s live EMR in real time. No read-replicas. No warehouse. Just milliseconds to get the right answer from systems that were never built for it.
That constraint forced us to build our own data platform: Zephyr.
We just published a deep dive on how it works. Under the hood: a multi-master, policy-driven data plane that merges EMRs, CRMs, and phone systems in real time, enforces field-level ownership, and guarantees deterministic reconciliation across hundreds of healthcare networks.
Zephyr lives somewhere between a database, a cache, and a consensus protocol. And it’s only the beginning. We’re now exploring a self-healing layer where LLMs detect schema drift, flag anomalies, and patch integrations automatically as systems evolve.
If you’re a distributed-systems nerd who thinks about CAP trade-offs, version vectors, and self-correcting data planes - let’s talk.
Full breakdown in the comments. 👇
Congrats @victorhunt_@dtjourney and the @ZingageAI team! 🎉
Victor and DT are such good people, a wonderful blend of highly ambitious and highly mission-driven.
If you're in NYC, work with them :)
@dtjourney and I are proud to announce @ZingageAI $12.5M in funding, led by Bessemer, TQ Ventures, South Park Commons, and WndrCo.
We are going to make home care the center of healthcare by removing the barriers that stand in the way of care delivery.
Here’s why:
At our first conference - the biggest in home care - it was @victorhunt_ and me. No team, and just ramen money. So we hired an actress off Craigslist to pose as our Chief of Staff.
Two founders and a fake org chart, sneaking into the industry’s main event. In three days she had us in rooms we had no right being in and unlocked $200K of pipeline. Those partnerships still matter.
Internally we’ve always looked to Francis Drake - pirates with the blessings of the Queen. But the stakes are heavier: if we fail, families don’t get care. That’s why we’ve done things most founders wouldn’t: hand-delivering donuts to schedulers at 6am, applying to jobs as caregivers, even running shifts ourselves. In this industry, patients can’t wait for polished decks or the perfect code.
Zingage Operator just came out of pilot and has already hit escape velocity - into seven figures of ARR in weeks, and on track to 10x by year-end. That trajectory, and the fact that we’re scaling the team alongside it, is why we decided now was the time to put our culture into writing. Until now it lived in how we operated day-to-day; now we want to make it explicit for everyone joining us at this inflection point. We just published the doc publicly for the first time in the comments.
And of course, these days we don’t need actresses - David and our killer sales team do that job better than anyone. 😄
Hey everyone! We are looking for a few new people to join @ZingageAI, for senior and junior engineering roles. If anyone is interested in helping to build the future of healthcare get in touch!