The unglamorous corner of healthcare gets a brain. AI agents that read the paperwork nursing homes drown in - so care teams can get back to people.
EXACARE AI - the company that bet the boring stuff (faxed referral packets, coding, compliance) was worth a $30M round. Filed under: software you succeed at by making invisible.
Somewhere right now, a nursing-home admissions coordinator is squinting at a 40-page referral packet that arrived by fax. Diagnoses, med lists, payer codes, a wound note buried on page 31. The clock is running, the bed is open, and a decision has to be made. ExaCare AI built software that reads that packet first.
ExaCare AI is a New York company with about 67 people and an outsized ambition: to be the operating system for post-acute care. Not the glossy front end patients see - the back office where seniors' care actually gets decided. Admissions. Reimbursement. Compliance. The stuff nobody puts in a brochure.
It sells to the people who run skilled nursing facilities, home health agencies, and hospices. It does this with a suite of five AI agents that do the reading, sorting, and flagging that humans used to do by hand at midnight. As of its Series A, it claims to power somewhere between 1,500 and 2,000 facilities across the country.
Here is the uncomfortable truth about post-acute care: it was never designed. It accreted. A patient leaves the hospital, lands in a skilled nursing facility, then moves to home health, and at every handoff the information is supposed to follow them. Often it doesn't. It arrives late, incomplete, or as a scanned image of a scanned image.
The cost of that mess is not abstract. A facility that can't read a referral fast enough loses the admission - and the revenue. A missed line in a med list becomes a clinical risk. A documentation gap becomes a failed survey. The coordination problem is, in the most literal sense, a patient-safety problem wearing an administrative disguise.
Everyone in the industry knew this. The industry had simply decided, in the way industries do, that this was just how things were. ExaCare disagreed.
Laird Russell did not set out to fix nursing homes. He set out to play hockey. Recruited to Brown, his athletic career ended with a string of traumatic brain injuries, followed by years of navigating a medical system that, from the inside, looked less like a system and more like a series of disconnected rooms. He had a long time to notice where the seams were.
He teamed up with Ben Willox, a fellow Bain & Company alum and, later, a Forbes 30 Under 30 honoree for AI in healthcare. In 2022 they founded ExaCare. The bet was specific: that the hardest, least glamorous part of senior care - reading and acting on unstructured clinical paperwork - was exactly the part that modern AI had finally gotten good enough to do.
It is a contrarian place to plant a flag. The fashionable AI demos involve chatbots and image generators. ExaCare's involves a faxed wound-care note. The founders were betting that boring and essential beats flashy and optional.
Ex-Bain & Goldman Sachs. A brain-injury recovery gave him a patient's-eye view of where care coordination breaks.
Ex-Bain consultant and Forbes 30 Under 30 (2025) for healthcare AI. Builds the agents that read what humans skim.
ExaCare's pitch is not "a smarter dashboard." It is a set of AI agents that take whole jobs off the plate. Each one targets a specific, expensive bottleneck in the post-acute back office - and each is built to show its work, because in healthcare an opaque recommendation is a liability, not a feature.
Reads inbound referral packets, extracts the clinical data, standardizes admission criteria, scores risk, and recommends placement.
Automates documentation and coding for claims so facilities capture the payment they actually earned.
Surfaces patient history and care pathways and flags clinical risk before it becomes an incident.
Watches for compliance risks and documentation gaps so a surprise survey isn't a surprise.
Standardizes forms and evidence collection across the whole care workflow.
Laird Russell and Ben Willox start ExaCare to fix the coordination problem in senior care.
An early round funds a data-first approach to senior living operations.
Insight Partners leads, with Foundation Capital, Bienville Capital, and post-acute operators joining. ~$36.5M raised in total.
Five AI agents launch for skilled nursing and home care; operator-CEOs from National Healthcare Associates, Journey, and Ignite join as advisors.
Powering an estimated 1,500-2,000 facilities and building toward an AI operating system for all of post-acute care.
Skeptical is the correct posture toward any healthcare AI claim. So here is the verifiable part: real operators put real money and their own executives behind it. National Healthcare Associates, Journey Healthcare, Ignite Medical Resorts, Monarch Healthcare Management, and Majestic Care are named users - and several of their leaders joined ExaCare's advisory board, which is harder to fake than a testimonial.
ExaCare states its values plainly: operations should never obstruct care delivery; post-acute care warrants world-class technology; systems must be built with the people who use them; and AI should be transparent, not a black box. It is a oddly humble goal for an AI company. The win condition is that nobody thinks about the software at all.
Insight Partners led the Series A on roughly that thesis - that the back office of senior care is enormous, underserved, and finally ready for AI that does work rather than just describes it. The capital is earmarked for sharper decision tools, clinical insights, reimbursement automation, and going to market faster.
The aging population is the most predictable trend in American healthcare. More seniors means more handoffs, more referrals, more paperwork, and the same overstretched staff. The coordination problem doesn't shrink; it compounds. Software that can absorb that load isn't a nice-to-have - it's infrastructure.
ExaCare's competitors - the incumbent post-acute EHR and referral platforms like PointClickCare, MatrixCare, and WellSky - own the systems of record. ExaCare is betting on the systems of action: the agents that do the next thing automatically. Whether it becomes the operating system it wants to be is unsettled. The direction it's pointing is not.
Back to that admissions coordinator and the 40-page fax. In ExaCare's version, the packet is read before she opens it. The risk is scored, the gaps are flagged, the recommendation is on the screen with its reasoning attached. The clock is still running - but now she's deciding, not deciphering. That's the whole pitch, and it's a smaller, more honest promise than most AI companies make. Read the boring stuff. Give people their attention back. Let care be the job again.