The clinician-founded, AI-native platform that retrieves the medical records healthcare keeps losing - then hands them back clean, structured, and ready to use.
Predoc's wordmark. The company's founders argue healthcare may be the last industry where the fax machine is still standard infrastructure - and built a platform to route around it.
In most industries, the fax machine is a museum piece. In healthcare, it is still load-bearing infrastructure - the default way a patient's history moves from one provider to the next. Predoc, a New York startup founded in 2022, was built by clinicians who lived that frustration and decided to route around it.
The company describes itself as an AI-native platform for health information management, the unglamorous back-office function of retrieving, cleaning, and organizing patient records. When a doctor needs a new patient's prior history, someone has to request it, receive it - often as a faxed PDF or a stack of scanned pages - and then read through thousands of documents to find what matters. Predoc automates that entire chain. It pulls records from digital sources and direct provider requests anywhere in the U.S., extracts the data with AI, and delivers it as normalized, structured information that plugs into the systems a clinic already uses.
The premise is deceptively simple: the hard part of medicine was never only the diagnosis. It was everything before and after - the requesting, the sorting, the re-keying, the waiting. Predoc's bet is that if you remove that administrative weight, clinicians get their time back and patients get faster care.
The fax machine still exists, but only in healthcare.Dr. Kaushal Kulkarni, Co-Founder
Health information management (HIM) is enormous and, by the founders' account, severely underserved. The five largest providers in the space generate roughly $2 billion a year combined - yet they serve only the top 10% of the market. The remaining 90% is left with manual, paper-based solutions: staff physically chasing records, re-typing them, and cleaning them by hand.
Predoc's customers are the organizations that feel this pain most acutely - oncology groups juggling voluminous patient histories, clinical research networks matching patients to trials, and virtual care providers with no local records room to fall back on. Named customers include The Oncology Institute, New York Cancer and Blood Specialists, OSHI Health, and Science 37. Several now use Predoc as their fully outsourced HIM operation rather than a bolt-on tool.
That framing - "amplify, don't replace" - is central to how Predoc sells into a cautious industry. The platform pairs automation with a human-in-the-loop model, and carries the enterprise compliance healthcare demands: HIPAA, SOC 2, and FDA 21 CFR Part 11.
Figures cited by Predoc and its customers, September 2025. Approximate.
Predoc's platform is layered - each piece handles a stage of the journey from raw document to actionable clinical data.
Automated pursuit of patient records from providers anywhere in the U.S., blending AI with human-in-the-loop retrieval.
EHR integrations and health information exchange connections that pull records in digitally.
AI that reads faxed PDFs and unstructured scans and turns them into structured fields.
Normalized, categorized, indexed clinical data delivered as AI-powered patient facesheets.
A unified clinical data layer that structures and stores patient information for reuse across workflows.
APIs including FHIR/CCDA processing that connect Predoc's clean data into existing clinical and research systems.
Plenty of point solutions have promised efficiency gains on slices of this problem. Predoc's differentiation is scope: rather than a single tool bolted onto an existing process, it offers to take the whole records workflow off a customer's hands - AI-native from the ground up rather than automation layered onto legacy software.
The business model mixes B2B SaaS with a managed service. Predoc sells retrieval and analysis products, and for many customers becomes the fully outsourced HIM function. That land-and-expand pattern shows in the traction: the company reached roughly $500K in revenue within six months of launching and was preempted for its seed round before finishing the raise.
Where it fits. Predoc sits in the plumbing of healthcare data - the interoperability layer between providers, researchers, and systems that has been "coming soon" for two decades. Its competitors are legacy HIM vendors and record-retrieval outsourcers, plus health-data companies like Datavant. Notably, angel backers include founders of Flatiron Health and Datavant - people who built the last generation of health-data infrastructure and are now betting on the next.
One co-founder started as a frustrated user, became an angel investor, then joined full time. When your founders are your first customers, product-market fit is a memory, not a guess.
Clinician-founded in New York by Nishant Hari, Dr. Kaushal Kulkarni, Dr. Priya Mehta, and Alex Daniels to fix medical-records chaos.
Reaches ~$500K revenue within six months and is preempted for a seed round backed by ERA, ENIAC, and healthcare angels.
Rolls out curated data, Data Core, and AI-powered facesheets, deepening full HIM outsourcing for customers.
Announces a Series A led by Base10 Partners amid 700% YoY growth and expansion across oncology, research, and virtual care.
$24M of a $30M total. Led by Base10 Partners, with Northzone, ENIAC Ventures, and ERA.
Backed by Entrepreneurs Roundtable Accelerator and ENIAC, plus angels including founders of Flatiron Health and Datavant.
Capital earmarked to scale across oncology groups, research networks, and virtual care providers.
Predoc is an AI-native platform for health information management. It retrieves patient medical records from across the U.S., extracts data from faxes and PDFs, and delivers normalized, structured data that integrates with existing clinical and research systems.
It was founded in 2022 by Nishant Hari (CEO), Dr. Kaushal Kulkarni, Dr. Priya Mehta, and Alex Daniels. The company is clinician-founded.
Around $30M total, including a Series A led by Base10 Partners announced in September 2025, with participation from Northzone, ENIAC Ventures, and ERA.
Oncology groups, clinical research networks, and virtual care providers - including The Oncology Institute, New York Cancer and Blood Specialists, OSHI Health, and Science 37. It reports roughly 35 customers, 10M+ pages processed, and 1M+ patients served.
It is AI-native and offers to fully offload the records workflow rather than sell a single point tool, with a clinician-led "amplify, don't replace" philosophy and enterprise compliance (HIPAA, SOC 2, FDA 21 CFR Part 11).
Sources: predoc.ai, Fortune, HIT Consultant, MobiHealthNews, TechFundingNews, FinSMEs, Crunchbase. Figures approximate and as reported September 2025.