The AI managed service quietly fixing the most expensive paperwork in home health: the codes.
Dispatch · The Present Tense
Somewhere in America right now, a home health nurse is closing a laptop after a visit. The patient is fine. The notes are thorough. And the agency that employs her is about to lose money - not because the care was bad, but because turning those notes into the correct diagnosis codes is slow, expensive, and easy to get wrong.
Olli Health exists in that exact gap. It is a managed service, not just software: proprietary clinical AI does the coding it can do reliably, certified human coders handle the charts it shouldn't touch, and the whole thing runs in hours instead of days. The pitch is unglamorous and specific - 98% accuracy, roughly four times faster, about half the cost of the old way. That is the entire business, and it turns out the entire business is enough.
The Problem They Saw
Home health reimbursement runs on documentation. Every visit produces a chart; every chart needs ICD-10 diagnosis codes and an OASIS assessment; and the accuracy of those codes decides how much an agency gets paid, and whether it stays compliant. Get them wrong and you either leave money on the table or invite an audit.
For decades this work went to outside coding vendors or strained in-house teams. It was slow. It was costly. And because it was boring, it was the last thing anyone wanted to modernize. Boring problems are wonderful that way - they sit untouched precisely because no one wants the credit for fixing them.
The obvious answer in 2023 was "use AI to code everything." The obvious answer was also wrong. Clinical charts vary wildly; a confidently miscoded complex case is worse than a slow one. Pure automation in this space tends to fail loudly and expensively.
So the real problem wasn't "can AI code a chart." It was "can a system know which charts it can code, and which it must hand to a human." That distinction is the whole ballgame, and most tools skipped it.
Our proprietary AI doesn't just code - it identifies which charts can be accurately handled by AI and which require human review.
- Olli HealthThe Founders' Bet
The bet looks odd on paper, which is usually a good sign. Three founders, three worlds that rarely meet. Eric Steege came from Amazon, where he spent about five years in product and launched Alexa's first paid subscription aimed at seniors and caregivers. Joe Freudenthal had spent two decades actually running senior care and home health agencies. Jeremy Gordon arrived with a Stanford degree and a UC Berkeley PhD in computational cognitive science, plus a track record building engineering teams.
Their wager: home health coding was too clinical for generic AI and too expensive for pure human labor - so the winning move was to build a system that combined both, and was honest about where the line between them sat. Investors agreed. The seed round closed in 2024; the $10M Series A, led by Industry Ventures, followed in late 2025.
~5 years at Amazon; launched Alexa's first paid subscription for seniors and caregivers before turning to home health.
Two decades in senior care and home health operations; former agency president who knows revenue cycle from the inside.
Stanford undergrad, UC Berkeley PhD in computational cognitive science; repeat founder and engineering leader.
The Product
Olli ingests clinical documentation in whatever messy format an agency has, runs it through its clinical AI, and produces diagnosis codes and reviewed assessments - with certified coders in the loop on the charts that need them. It plugs into the agency's EHR for review and approval, so the output lands where staff already work rather than in yet another tab.
Extracts patient detail from documentation and generates accurate diagnosis codes, routing complex charts to certified human coders.
Reviews OASIS assessments for accuracy and compliance, compressing a multi-day task into hours and lifting case-mix accuracy.
Generates and reviews Plan of Care documents, tied directly to the coding and quality-review workflow.
Automated document ingestion across formats with EHR integration for in-place code review and approval.
Midpoint · The Paper Trail
Eric Steege, Joe Freudenthal, and Jeremy Gordon set up shop in Madison, Wisconsin, aimed squarely at home health coding.
Led by Cannage Capital, with Arkitekt Ventures and Tau Ventures, to build out the AI-plus-coder managed service.
First Choice Home Health switches to Olli and reports AI-driven cost savings of up to 75%.
Led by Industry Ventures with Cannage, Equitage, Tau, and Arkitekt - bringing total funding to roughly $13M.
The Proof
Proof in this category isn't a press release - it's whether agencies keep paying. They appear to. First Choice Home Health, an Olli customer, has been cited reporting cost savings of up to 75% after switching. Interim Healthcare franchise locations are in the mix too. Across the book, Olli describes customer case-mix improvements of 10-12% and turnaround measured in hours.
The Mission
Strip away the funding headlines and the mission is modest, which is the point. Olli wants home health agencies to spend less on back-office coding and capture the reimbursement they've already earned - so the people running them can think about patients instead of charts. The Series A money is going toward extending the loop earlier, connecting the start-of-care visit all the way through to final coding and quality review.
It is not trying to replace nurses or reinvent care. It is trying to make one specific, costly, invisible chore reliable. The ambition is to be unnoticed - the highest compliment a back-office system can earn.
98% accuracy, 4x faster turnaround, at half the cost of traditional solutions.
- Olli Health's standing promiseWhy It Matters Tomorrow
America is aging, and more care is moving into the home. Every one of those visits will generate a chart, and every chart will need codes. The volume isn't going down; the margin for error isn't going up. Whoever makes that pipeline accurate and cheap holds a quiet, structural advantage in home health - and structural advantages tend to compound.
Return to that nurse from the opening. She finishes a visit, closes her laptop, and moves on. Behind her, the chart flows into Olli, gets coded - by AI where it can, by a certified human where it should - reviewed, and routed back into the EHR within hours. The agency gets paid correctly. No audit bait, no lost revenue, no late-night scramble. The most expensive paperwork in home health just became something nobody has to think about. That was always the goal.
Video: Olli Health has not published an official YouTube interview or product demo at the time of writing. Check the website and LinkedIn for the latest walkthroughs and recorded sessions.