Hippocratic AI provides clinically-oriented, safety-first generative AI healthcare agents and an EHR-integrated Co‑Pilot designed to augment clinicians (especially nurses) and improve patient engagement, adherence, and operational outcomes. The site describes a multi-step safety framework (Polaris constellation architecture, clinical supervision, nurse escalation, and output testing) and reports clinical validation using thousands of US-licensed clinicians (site cites ~7,000) and output-testing scale reported as ~500k test calls and 1.8M patient calls completed across deployments. The company describes its core model/architecture as the Polaris constellation system: a large primary model orchestrated with many specialized support models, with different pages referencing Polaris 2.0 (~3 trillion parameters, multilingual) and other pages referencing multi-trillion/"4.1T+ constellation" claims. The architecture emphasizes parallelized inference, specialist support models, memory/personalization, and selective invocation to reduce latency. Product capabilities described on the site include a catalogue of 1,000+ healthcare agents organized by organizational goals (Quality Improvement, Care Management, Readmission Prevention, Health Equity, Compliance, etc.), multiple skills/supervisor model families (escalation, medication recognition, vital sign clarification, medication stoppage, motivational interviewing, empathy/bedside-manner skills, SDOH/caregiver skills, multi-call memory/continuity of care, scheduling/telemed, IVR/provider match, AE & PC for pharma workflows, and others), and the Hippocratic AI Co‑Pilot: an EHR-integrated assistant for inpatient/outpatient workflows with a workflow of selecting an agent, scheduling calls, generating post-call summaries, and integrating outputs into EHRs. EHR integrations referenced on the site include Epic, MEDITECH, and Oracle (and likely others per site language). Real-world outcomes and customer references on the site include partner/testimonial references (Burjeel Holdings, University Hospitals, Sheba Medical Center, Belong Medical Group, ICP) and reported metrics such as a 20% increase in pre-take completeness for intake, 2.6x higher engagement with Spanish-speaking patients, 30% reduction in readmission rates, higher survey return rates, and improved outreach response rates. The site references partnerships and deployments, including mentions of collaboration with KPMG. Team and funding: leadership listed includes Munjal Shah (CEO, co-founder), Dr. Meenesh Bhimani (CMO, co‑founder), Amy McCarthy (CNO), Dr. Harpreet Mangat, Dr. Chris Fang, Dr. Shubhra Jain, Vishal Parikh, and Subho Mukherjee; the site cites board/investor representation including Hemant Taneja and Julie Yoo. The site references a Series C round ($126M) at a $3.5B valuation. Research and resources on the site include a Polaris white paper, benchmarking/clinical study materials, case studies, and de-identified call excerpts. Subscription options include a newsletter/subscribe page for updates on clinical outcomes, case studies, and LLM updates. Privacy and contact details listed on the site include a detailed privacy policy with state-specific disclosures, privacy contact [email protected], press contact [email protected], and a contact form at https://hippocraticai.com/contact-us/ (site notes submitting signs you up for marketing messages). Notable gaps and inconsistencies identified on the site: no public pricing or published plans (pricing page returned no plans or free trial), differing parameter/size claims across pages (e.g., ~3T vs "4.1T+ constellation" claims), some press/agent pages use the funding announcement as current content limiting agent-specific details, and no public API or developer/integration documentation for EHR integrations or technical integration details. The site appears oriented toward enterprise/health-system sales and indicates procurement/pricing will require contacting sales. Suggested next steps on the site include requesting a sales demo and pricing, asking for technical documents (Polaris white paper, safety validation protocols, benchmarking methodology, EHR/HL7/FHIR integration docs), requesting clinical evidence and detailed output-testing results and nurse-evaluation protocols, verifying model and safety claims with an engineering brief (parameter counts, specialist model counts, latency guarantees, deployment options), and requesting contract/legal/privacy details (DPA, security whitepaper, SOC/ISO compliance evidence).