The Hippocratic AI Snapshot
Hippocratic AI is building the world's safest generative AI agents for healthcare, focusing exclusively on non-diagnostic, patient-facing conversations to address the global clinician shortage and usher in an era of "healthcare abundance."
🚀 Company Snapshot
Industry
Healthcare AI / Generative AI
Headquarters
Palo Alto, CA
Last Valuation
~$3.5B (Series C)
Data sourced from Crunchbase, PitchBook & company materials. Valuation is estimated.
Why Hippocratic AI Stands Out: The Core Differentiator
Hippocratic AI’s advantage isn't just another healthcare LLM—it’s a safety‑first architecture and a partnership‑led go‑to‑market motion that has earned trust in a risk‑averse industry.
- The Polaris Safety Constellation: Unlike fine‑tuned general‑purpose models, Hippocratic built its proprietary Polaris architecture from the ground up for healthcare. It uses a constellation of multiple, specialized LLMs working in parallel to validate every patient interaction, achieving safety parity with human clinicians. This rigorous, multi‑phase testing involves thousands of licensed nurses and physicians, a level of validation that sets a new bar for clinical AI.
- Non‑Diagnostic, Patient‑Facing Focus: While most healthcare AI startups automate administrative tasks, Hippocratic targets high‑impact, patient‑facing conversations—chronic care management, post‑discharge follow‑ups, and wellness checks. This is a harder, but vastly larger, problem that directly addresses the global staffing shortage.
- Deep Health‑System Collaboration: The company was co‑created with health‑system partners (like Cleveland Clinic, Advocate Health, and NHS trusts) and counts many as investors. This “radical collaboration” ensures product‑market fit and creates a formidable barrier to entry for competitors.
Tracking the Trajectory: Funding, Revenue & Valuation
Hippocratic AI has raised a staggering $404M in just over two years, reflecting intense investor confidence in its safety‑first approach and rapid commercial execution.
| Round |
Date |
Amount |
Lead Investor(s) |
Valuation |
| Seed |
May 2023 |
$50M |
General Catalyst, Andreessen Horowitz |
– |
| Series A |
Mar 2024 |
$53M |
General Catalyst, a16z, health‑system partners |
$500M |
| Series B |
Jan 2025 |
$141M |
Kleiner Perkins |
$1.64B |
| Series C |
Nov 2025 |
$126M |
Avenir Growth |
$3.5B |
Total Funding: $404M
Revenue & Growth Metrics: While exact revenue figures are not public, the company’s commercial traction is clear:
- 50+ large health‑system, payer, and pharma partners across 6 countries.
- Over 115 million clinical patient interactions completed with no safety issues.
- 1,000+ clinical use cases built on its AI‑agent app store.
Each funding round has fueled specific scaling goals: the Series A focused on safety testing and initial product launch; the Series B accelerated commercial rollout and international expansion; and the Series C is earmarked for broadening deployments, further safety‑architecture investment, and strategic M&A.
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Inside the Engine Room: Company Culture & Employee Sentiment
The company’s culture is explicitly built around its mission, with stated values that are reinforced through daily rituals.
Stated Culture & Values (from company materials):
- Do No Harm: Every employee takes an oath to prioritize product safety above all else.
- Patient First: Improving patient outcomes is the top priority; employees wear a bracelet engraved with the name of someone whose health journey inspires them.
- Equal Access for All: Staff are encouraged to advocate for an underserved community during their tenure.
🏢 Culture & Sentiment at a Glance
👍 The Highlights
- Mission‑driven work: Employees feel they are directly improving healthcare access and patient lives.
- High‑caliber, collaborative teams: The team blends AI researchers, physicians, and healthcare operators.
- Fast‑paced, high‑impact environment: Rapid growth and clear milestones create a sense of momentum.
🤔 Points to Consider
- Typical startup scaling pains: Processes and priorities can shift quickly as the company grows.
- High‑pressure environment: The focus on safety and rapid execution can demand intense periods.
- Ambiguity in roles: As with many hyper‑growth startups, job scopes may evolve rapidly.
Insight synthesized from stated company values and anonymous employee reviews.
Building the Future: Career Opportunities & Impact
Hippocratic AI is hiring across all departments to support its global expansion. The careers page emphasizes hiring "extraordinary people who align with our values".
Typical Roles for Tech Candidates:
- AI/ML: Research Scientists, LLM Engineers, Safety Validation Engineers.
- Engineering: Full‑Stack Engineers, Infrastructure Engineers, DevOps/SRE.
- Product & Design: Product Managers, UX Researchers, Clinical Product Specialists.
- Go‑to‑Market: Solutions Architects, Enterprise Sales, Partnership Managers.
- Clinical & Safety: Clinical Safety Officers, Medical Affairs, Nurse Advisors.
Impact You Could Have:
- Engineers own end‑to‑end features that directly impact patient care.
- AI Researchers push the boundaries of safe, empathetic conversational AI.
- Product Managers define the roadmap for AI agents used by millions of patients.
Benefits & Perks (based on industry standards for a venture‑backed startup at this stage):
- Competitive salary & generous equity grants.
- Top‑tier health, dental, and vision insurance.
- Remote‑friendly culture with flexible work arrangements.
- Learning & development stipends for conferences, courses, and certifications.
- Generous paid time off and parental leave.
Current Technical & Product Openings at Hippocratic AI
Below are active opportunities to join Hippocratic AI's mission to create the safest AI for healthcare. Roles are organized by team and include location information.
| Position |
Team |
Location |
Apply |
| Engineering & AI/ML |
| Backend Engineer, Clinical Applications |
Engineering |
San Francisco Bay Area |
Apply → |
| Senior ML Research Engineer |
ML Research |
Remote (US) |
Apply → |
| Machine Learning Engineer |
Engineering |
San Francisco Bay Area |
Apply → |
| Security Engineer |
Engineering |
San Francisco Bay Area |
Apply → |
| Product |
| Technical Program Manager |
Product |
San Francisco Bay Area |
Apply → |
| Senior Product Manager |
Product |
San Francisco Bay Area |
Apply → |
| Other Technical Teams |
| Clinical AI Scientist |
Clinical |
Remote (US) |
Apply → |
Apply through Underdog.io to be considered for these and other top startup opportunities. One application connects you with multiple companies including Hippocratic AI.
Challenges on the Horizon
No startup scales without hurdles. Hippocratic AI faces several material challenges:
- Regulatory Scrutiny: As a patient‑facing AI, it must navigate evolving FDA, HIPAA, and international healthcare regulations.
- Scaling Safety Validation: Maintaining rigorous safety protocols across thousands of deployments and new use cases is a complex operational task.
- Competition: Incumbent EHR vendors (Epic, Cerner) and well‑funded AI startups (Nabla, Abridge) are also targeting healthcare automation.
- Proving Unit Economics: While traction is strong, the long‑term profitability of AI‑agent subscriptions in healthcare must still be demonstrated at scale.
Industry Impact & The Road Ahead
Hippocratic AI is riding two massive trends: the global healthcare‑worker shortage and the advent of trustworthy generative AI. Its total addressable market (TAM) is vast—Kleiner Perkins estimates the market for solving healthcare staffing shortages with AI could be 10x the size of the healthcare software market alone.
Next Likely Milestones:
- International Expansion: Series C funds will fuel growth in Europe, the Middle East, Asia, and Latin America.
- Product Diversification: Moving into pharma, payer, and more complex care‑management verticals.
- Path to Liquidity: Given its valuation and growth trajectory, an IPO within 2‑4 years is a plausible exit, though acquisition by a major healthcare or tech player is also possible.
The Underdog.io Perspective: Should You Join?
Underdog.io's Take
Verdict: Hippocratic AI presents a high‑risk, high‑reward opportunity for candidates who want to build foundational AI technology that directly improves human health.
✅ Fit For: Mission‑driven builders & scalers
⚠️ Think Twice If: You need a highly structured, predictable environment
Growth Outlook: With a $3.5B valuation, $404M in funding, and explosive customer traction, Hippocratic AI is positioned to be a dominant player in healthcare AI. Joining now offers the chance to shape a category‑defining company, with significant equity upside and unparalleled professional growth in one of tech’s most impactful sectors.
How to Apply / Next Steps
If you’re inspired by the mission and ready for a high‑impact role, explore current open positions at Hippocratic AI:
Underdog.io partners with Hippocratic AI on confidential talent searches. To be matched with opportunities here and at other high‑growth startups, create a profile on Underdog.io today.
Frequently Asked Questions
What is Hippocratic AI's mission?
Hippocratic AI is focused on developing what they describe as the safest artificial intelligence for healthcare. Their goal is to create large language models and generative AI tools specifically designed to support and improve patient care, with a strong emphasis on safety, reliability, and ethical application within medical settings.
What kind of roles does Hippocratic AI typically hire for?
As an AI company in the healthcare sector, they typically seek talent across artificial intelligence and machine learning research, engineering roles (including software, data, and infrastructure), clinical informatics, product development for healthcare applications, and roles focused on safety, ethics, and regulatory compliance.
What is the company culture like at a mission-driven AI startup?
Companies like Hippocratic AI often cultivate a culture of deep technical rigor combined with a strong sense of purpose. Teams are likely composed of individuals who are passionate about both cutting-edge AI technology and making a tangible, positive impact on the complex challenges within the healthcare industry.
How can I stand out as a candidate for Hippocratic AI?
Demonstrate a genuine passion for the intersection of AI and healthcare. Showcase relevant projects, research, or experience in either domain. For technical roles, highlight expertise in AI/ML, natural language processing, and building robust, secure systems. An understanding of healthcare's unique constraints and regulations is a significant advantage.