Co-Founder
Vera Health
Vera Health provides an AI-driven clinical search engine that delivers evidence-graded answers to medical questions in seconds. The platform searches over 60 million peer-reviewed papers, guidelines, and drug references, ranking results by study quality and adapting responses to specialty, patient context, and local guidance. It is an official AI partner of the American College of Emergency Physicians, integrating ACEP clinical policies with source attribution.
- Healthcare Technology
- Artificial Intelligence
- Digital Health
- Software Only
Updated 2 days ago
Funding
Raised to date
$32MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$28.5M across 1 disclosed round
$28.5M · Series A
Announced Oct 2026 · from article date
Disclosed cumulative: $28.5M
Reported total $32M
Incomplete round history. $3.5M of the $32M reported total isn’t matched to a known round.
RoundDateAmountValuationInvestors
Founders
Product
Problem
Clinicians often need to locate and interpret the most current, evidence-graded medical literature and specialty guidelines within seconds, but traditional search tools are slow, unstructured, and may not prioritize high-quality evidence, leading to delayed or suboptimal decision-making at the point of care. Published evidence is growing faster than any clinician can read, and new findings can take years to reach routine practice.
Solution
Vera Health provides an AI-driven clinical search engine that delivers concise, evidence-graded answers to any medical question in seconds. The platform indexes over 60 million papers, guidelines, and drug references, automatically ranking results by study quality and relevance. Integrated specialty and regional guideline layers—such as ACEP's emergency medicine policies—ensure that answers reflect the latest standards of care. Answers include clear citations and quality grades, allowing clinicians to verify sources instantly. The service is accessible via web and mobile interfaces, supporting rapid lookup across all specialties and practice settings.
Target Audience
Primary users are physicians, nurses, and other healthcare professionals who require rapid, evidence-based answers at the point of care across all medical specialties.
Features
- AI-powered natural-language query interface that returns evidence-graded answers in under a few seconds
- Integration of authoritative society guidelines (e.g., ACEP clinical policies) with full branding and source attribution
- Automatic quality scoring of literature, highlighting high-level evidence and noting gaps in the evidence base
- Specialty-specific adaptation that tailors results to the clinician's field, practice environment, and regional guidelines
- Citation-rich responses with direct links to original papers, guidelines, and drug references for verification
- Continuous learning from aggregated user queries to identify knowledge gaps and inform future guideline development