Arctic Health Is Automating the Paperwork That Keeps Doctors From Getting Paid

There is a moment in every clinic's life that nobody puts on the website. A new doctor is hired, badge printed, desk assigned - and then everyone waits. Not for the doctor to be ready. For the insurance companies to say the doctor exists. That wait, called credentialing, can run 60 to 90 days, and until it ends the provider cannot bill a single insured patient. Arctic Health, a four-person startup in New York, was built to shorten that wait.

The company came out of Y Combinator's Spring 2026 batch with a pitch you can fit on a bumper sticker: "Your providers, in-network. Without the headache." Underneath the tidy slogan is one of healthcare's least glamorous and most expensive chores - the paperwork that stands between a provider and getting paid.

01 / THE PROBLEMThe chore nobody wanted to automate

Credentialing is the process of proving to an insurer that a provider is who they say they are - licenses, education, malpractice history, work verification - so that provider can join the network and be reimbursed. Contracting is the negotiation that sets the rates. Both are slow, fragmented, and, as Arctic Health puts it, "almost entirely manual." A single provider may need to be enrolled across dozens of payers, each with its own portal, its own forms, its own definition of complete.

Multiply that by every provider in a growing practice and you get a back office drowning in follow-ups. It is the kind of problem that costs the US healthcare system billions a year, almost all of it in human labor, and the kind of problem most founders never look at because it sounds boring. Arctic Health looked directly at it.

02 / THE PRODUCTPeople plus a platform

Arctic Health's approach is not "fire the humans." It hires credentialing experts and pairs them with an AI platform that does the reading, extracting, and error-checking at machine speed. The AI pulls data out of documents and flags mistakes before a payer can bounce an application; the experts handle judgment and the edge cases that every state and payer seems to specialize in.

The service spans the full lifecycle: documentation gathering and verification, CAQH profile setup and maintenance, payer submissions, contract negotiation and rate optimization, multi-state licensure, delegated credentialing, and the un-fun tail of appeals and revalidations. For customers operating at scale there is an API and a white-label option, so a platform can put credentialing under its own brand.

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ARCTIC HEALTH

03 / THE CUSTOMERSWho actually needs this

The buyers are not patients - they are the organizations that employ providers. Single clinics that add a doctor and lose revenue during the wait. Multi-state health systems juggling different rules in every state. Telehealth platforms onboarding providers in volume, where doing it one fax at a time simply does not scale. Revenue cycle management companies and credentialing verification organizations that want to offer credentialing without building the machinery themselves.

04 / THE TEAMOperators who studied the boring parts

The founders did not come from healthcare central casting. Sam Slezek, the CEO, built the PhD data platform at Scale AI, led the Instacart+ subscription product, invested at the VC firm Amasia, and covered insurance companies as an investment banker at Morgan Stanley. Raghav Mehrish, CTO, was a senior engineer at Airbnb and built a payroll platform at Zenefits. Michael Clark, COO, was an early sales rep at Instabase and worked on healthcare AI before this.

05 / THE MARKETA crowded category, freshly rebuilt

Arctic Health is not the first company to sell credentialing. Legacy CVOs and in-house teams have done it for decades, and a wave of software-forward names - Medallion, Verifiable, Andros, Certify among them - already compete for the same buyers. What Arctic is betting on is the "AI-native" framing: not software bolted onto a manual process, but a process designed around what the AI can now read and check, with experts kept in the loop where they matter.

The company's edge, if it holds, is speed and cost - the two-day submission promise and the claim to the "fastest and lowest-cost path" to enrollment. In a category where the incumbent experience is a spreadsheet and a wait, being measurably faster is a real position.

06 / THE BUSINESSService that scales like software

The model is B2B: healthcare organizations pay Arctic to run credentialing, contracting, and enrollment for them. The AI is what lets a four-person team credibly promise to serve organizations "of any size," from one clinic to a multi-state system, and the API and white-label paths turn a service into infrastructure other companies can build on. Backing so far includes Y Combinator, with Menlo Ventures and Fortitude Ventures listed among its supporters.

It is early. The team is small, the funding modest, and the category is full of well-capitalized rivals. But the shape of the opportunity is clear: a very large, very unloved workflow that every provider must pass through, and a founding team whose entire background is making that kind of workflow disappear.