Hippocratic AI company profile: valuation, funding & revenue

This Hippocratic AI company profile covers the company's valuation, revenue, funding rounds, investors and history. Hippocratic AI works in healthcare, with a focus on AI agents for patient communication. It was founded in 2023 and is headquartered in Palo Alto, California, United States. Its latest valuation on record is US$3.5 billion (November 2025). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.

Revenue

Funding history

Hippocratic AI timeline

Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.

• 2023 — Hippocratic AI is founded in Palo Alto by Munjal Shah (CEO) and co-founders.
• Jan 2025 — Series B: US$141M, valuing the company at US$1.64B. Investors: Kleiner Perkins (lead).
• Nov 2025 — Series C: US$126M, valuing the company at US$3.5B. Investors: Avenir Growth (lead); CapitalG, General Catalyst, Andreessen Horowitz, Kleiner Perkins, Premji Invest, Universal Health Services, WellSpan Health.
• November 2025 — Total funding: US$404 million.

Investors

Overview

Hippocratic AI builds AI agents that talk to patients. Its voice-based agents make and take phone calls on behalf of hospitals, health systems, insurers and pharmaceutical companies: checking in with patients after they leave hospital, reminding them about medications and appointments, preparing them for procedures, helping manage chronic conditions, and answering routine questions. The aim is to handle the huge volume of non-diagnostic communication that nurses and care staff struggle to keep up with, so human clinicians can focus on work that needs their judgement.

Munjal Shah, a serial entrepreneur who previously founded Health IQ and Like.com, founded Hippocratic AI in 2023 with a team of physicians, nurses and AI researchers. The company is headquartered in Palo Alto, California. Its name references the Hippocratic Oath, and its slogan, "do no harm", reflects its emphasis on safety: it has said from the beginning that its agents shouldn't diagnose or make clinical decisions.

What the agents do

Hippocratic AI offers a library of agents for specific tasks, each designed and tested with clinicians. Examples include:

• Post-discharge follow-up: calling patients after a hospital stay to check symptoms, confirm they understand their medications and flag problems to a nurse.
• Chronic care management: regular check-ins with patients with conditions such as heart failure or diabetes.
• Pre-procedure preparation: making sure patients follow instructions before colonoscopies or surgery, which reduces cancellations.
• Screening and outreach: reminding patients about preventive screenings and vaccinations.
• Pharma and payer programmes: supporting patients who start new medications or need help with insurance processes.

When an agent detects a concern, for example a symptom that might signal a complication, it escalates the call to a human clinician.

Safety approach

Healthcare buyers worry about AI saying something wrong to a patient. Hippocratic AI designed its system as a "constellation" of models: a main model that talks with the patient and several supervisory models that check specific aspects of the conversation, such as medication doses, lab values and signs of distress. The company says it tested its agents with thousands of licensed nurses and doctors who made test calls and rated performance before deployment. That process, and its focus on non-diagnostic tasks, has been central to winning trust from hospital systems.

Funding

Hippocratic AI raised a large seed round in 2023 from General Catalyst and Andreessen Horowitz, followed by a Series A. In January 2025 it raised a US$141 million Series B at a US$1.64 billion valuation. In November 2025 it announced a US$126 million Series C at a US$3.5 billion valuation, led by Avenir Growth, with CapitalG, General Catalyst, Andreessen Horowitz, Kleiner Perkins, Premji Invest, and health system investors including Universal Health Services, Cincinnati Children's Hospital Medical Center and WellSpan Health. Total funding reached US$404 million. The company said it would use the money for product development, international expansion and acquisitions.

Business model

Hippocratic AI charges customers for agent usage, often priced per hour of conversation or per completed task, at rates far below the cost of human staff for the same calls. Customers include health systems, payers and life sciences companies in the United States and, increasingly, other countries. It doesn't publish revenue, so we show it as not disclosed.

Competition

Hippocratic AI competes with other healthcare AI companies focused on patient communication and administrative work, with call centre outsourcers, and with large technology and electronic health record vendors adding AI features. It's different from ambient documentation companies such as Abridge and Ambience Healthcare, which help doctors write notes, but all three are part of the same wave of healthcare AI investment described in our guide to healthcare AI startups.

Hippocratic AI at a glance

Hippocratic AI is a Palo Alto healthcare AI company founded in 2023 by Munjal Shah. Its voice agents handle non-diagnostic patient calls such as follow-ups and reminders. It raised US$141 million at US$1.64 billion in January 2025 and a US$126 million Series C at US$3.5 billion in November 2025, led by Avenir Growth, bringing total funding to US$404 million.

The nursing shortage and why it matters

Many countries face shortages of nurses and other care staff, and health systems struggle to staff routine patient outreach. Follow-up calls after discharge, chronic care check-ins and preventive reminders are proven to improve outcomes and reduce readmissions, but they're often the first things to be dropped when staff are stretched. AI agents can make those calls at scale, in multiple languages and at any hour, which is why health systems are willing to try them despite caution about AI in medicine. The question isn't whether AI replaces nurses, but whether it can extend their reach to patients who would otherwise get no contact at all.

Regulation and liability

Patient-facing AI raises regulatory questions. In the United States, software that diagnoses or treats can be regulated as a medical device by the FDA, which is one reason Hippocratic AI keeps its agents to non-diagnostic tasks. Privacy laws such as HIPAA govern how patient data is handled. Health systems also have to decide who is responsible if an AI agent misses a warning sign. Clear escalation rules, detailed logs of conversations and human oversight are standard requirements in contracts. Regulators in Europe and elsewhere are also developing rules for AI in healthcare that will affect international expansion.

Questions for health systems

• Which patient communications are routine enough for AI, and which must stay with clinicians?
• How are concerns detected and escalated, and how quickly does a human respond?
• How are outcomes such as readmissions and patient satisfaction measured?
• How is patient data protected and retained?

Latest developments (October 2026)

Hippocratic AI's November 2025 Series C of US$126 million, led by Avenir at US$3.5 billion, remains its latest round. The company sells AI agents that make non-diagnostic patient calls, such as appointment reminders, discharge follow-ups and medication checks, and has been expanding its partnerships with health systems. See our healthcare AI guide.

What to watch

Watch for published outcome data, international deployments, acquisitions funded by the Series C, regulatory developments and any revenue disclosures.

Takeaways

Health systems can extend outreach to patients without adding staff. Founders can learn from Hippocratic AI's safety-first positioning in a sensitive market. Investors should look for evidence that agents improve outcomes, not just reduce costs.

Sources

Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.

1. Business Wire
2. Fierce Healthcare
3. SiliconANGLE