OpenAI acquired Torch, a four-person health-technology startup, on January 12, 2026. The acquisition is confirmed, but OpenAI has not disclosed its price. The Information, citing people familiar with the deal, reported an equity value of about $100 million, including roughly $60 million upfront and additional equity intended to retain employees. Those financial details have not been confirmed by OpenAI.
What OpenAI acquired
Torch was building a way to gather and interpret a person’s health information across otherwise disconnected sources. Medical records, lab results, medication lists, visit notes, imaging providers, wearables and wellness apps can all hold pieces of someone’s history. Torch’s concept was to normalize those fragments into a coherent, AI-readable context layer—what the company described as a “medical memory for AI.”
That makes Torch better understood as a health-data aggregation and interpretation product than as a conventional electronic-health-record vendor. The available reporting does not establish that Torch sold or transferred a database of patient records. Its product was designed to work with user-authorized information from providers and apps. TechCrunch’s acquisition report and The Information’s report describe the product and reported deal.
Why Torch fits OpenAI’s health strategy
Personalized health answers depend on more than a capable language model. The system also needs relevant information, a way to reconcile it, and safeguards against presenting incomplete or conflicting records as settled fact. A user’s health details may be scattered among portals, PDFs, labs, and activity apps; a unified context layer could make that information easier to use in a conversation.
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OpenAI had announced ChatGPT Health before the Torch acquisition. The company says the experience can use information users choose to connect, including medical records and wellness data. Bringing Torch’s team and technology into OpenAI’s health effort may help with data connections, normalization, and longitudinal context. That is a strategic inference from the product fit, not a public accounting of which Torch components were integrated or how they work.
The transaction is therefore best read as a focused technology-and-talent deal, or an acqui-hire-style acquisition, rather than OpenAI buying a large health-records company, hospital network, or established EHR vendor. The four-person Torch team joined OpenAI, according to TechCrunch.
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What ChatGPT Health does—and does not promise
OpenAI says users can use connected information to understand test results, compare newer results with earlier ones, summarize changes since an appointment, prepare questions for a clinician, review medication and clinical history, and explore patterns in sleep, activity, exercise, and routines. The feature is meant to support care, not replace clinicians; OpenAI says it is not intended for diagnosis or treatment. See OpenAI’s ChatGPT Health announcement.
OpenAI has described connections to U.S. medical records and services including Apple Health, One Medical, Function Health, and other supported wellness apps. Torch’s role should not be overstated: OpenAI has said its team and technology joined the health initiative, but that does not establish that Torch powers every current connection or feature.
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Availability as of August 18, 2026
- Access is rolling out gradually to eligible logged-in users in the United States who are at least 18 years old and use Free, Go, Plus, or Pro plans.
- ChatGPT Health is supported on the web and iOS; OpenAI describes Android availability as forthcoming. Connecting Apple Health requires an iPhone.
- Medical Records is described as U.S.-only, and provider and app availability varies. Eligibility does not guarantee that the feature has reached every account.
OpenAI’s Health in ChatGPT help page has the current access and connection details. The cited documentation does not establish a separate subscription price for Health itself.
What is known about the price
OpenAI and Torch confirmed the acquisition, but OpenAI did not publicly disclose the purchase price or full transaction structure. The Information, citing people familiar with the deal, reported a value of approximately $100 million in OpenAI equity, with about $60 million upfront and the balance in equity intended to retain employees. Axios and TechCrunch also reported the acquisition and approximate valuation. The reported figures are not an official price disclosure.
The founders’ earlier connection
Torch co-founder Ilya Abyzov said the team met while working at Forward Health, an AI-oriented clinic operator that shut down abruptly in late 2024 after reportedly raising more than $400 million. That background helps explain the team’s healthcare experience, but it is not evidence that Torch received Forward’s technology, customers, or medical records. TechCrunch reported the founders’ connection.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What a unified health context can—and cannot—solve
Combining records may make a timeline easier to review, but aggregation does not guarantee a complete or clinically authoritative chart. Health data can include duplicates, outdated diagnoses, conflicting medication lists, missing context, mismatched patients, different units or reference ranges, and notes that need professional interpretation. Wearable measurements can be useful context without carrying the same meaning as a clinical finding.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsThat leaves a trade-off: more personal context may make answers more relevant, while also increasing the stakes of incorrect interpretation, inappropriate inference, or unauthorized access. OpenAI’s Health Privacy Notice says Health conversations, files, and memories are not used to train its foundation models. That is a specific statement about model training, not a guarantee of zero privacy risk or a claim that every consumer Health interaction has the same contractual protections as a healthcare-organization deployment. OpenAI’s separate healthcare offerings and Healthcare Addendum should not be treated as interchangeable with consumer Health terms.
Before connecting records, users may want to understand which data comes from a provider or third-party connector, how long it is retained, what removing an account or deleting a chat removes, and how derived summaries are handled. OpenAI’s privacy notice also describes circumstances involving legal obligations and business transactions. The answers depend on the applicable product and terms; words such as “encrypted,” “HIPAA,” or “private” do not by themselves resolve every data-handling question.
What remains undisclosed
- The definitive price, exact consideration structure, and whether all reported consideration was equity.
- Which Torch technical components have been integrated into OpenAI products and whether its standalone consumer product remains available.
- How OpenAI will validate health summaries and handle conflicting, incomplete, or incorrectly matched records in high-risk situations.
- Whether the acquisition changes provider coverage or the privacy terms users see when connecting health data.
The distinction matters for users: the acquisition does not mean every Torch capability is already available in ChatGPT Health, nor that every eligible user can connect every provider.
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