Telepatia has successfully raised $33 million in a Series A funding round led by a16z, aimed at enhancing its AI-native clinical platform for Latin America. Founded by Nicolás, who was inspired by the premature death of his father, a physician lost to a preventable cause, the platform is designed to improve healthcare outcomes through its AI scribe, clinical decision support, and auditing tools. Since launching in July 2025, Telepatia has been deployed across over 25 hospital systems in Brazil, Colombia, and Mexico, serving 14 million patients and addressing the region’s significant healthcare provider shortages relative to OECD averages.
Telepatia: Telepatia is an AI-native clinical platform designed for healthcare providers across Latin America, offering integrated tools including an AI scribe, clinical decision support, and AI auditor connected to hospital data sources. It focuses on building an ‘AI Doctor’ to assist physicians in documentation, decision-making, and error prevention while adhering to clinical guidelines and local protocols. The company recently raised a $33 million Series A led by a16z as part of a total $42 million raised, enabling further expansion of its platform in the region.
Nicolás Abad: Nicolás Abad is the founder and CEO of Telepatia AI, a Stanford-affiliated entrepreneur developing AI tools for clinical workflows inspired by personal family experience in medicine. He is building an AI Doctor platform aimed at improving patient outcomes and supporting physicians in Latin America, with a long-term goal of contributing to medical breakthroughs recognized at the Nobel level. Abad recently announced the company’s Series A funding round alongside the a16z investment announcement.
Healthcare AI Adoption: Telepatia’s platform has seen strong physician engagement, with doctors using it extensively throughout the day in deployed hospital systems.
Latin America Healthcare: The region experiences notable shortages of physicians and nurses relative to OECD averages, creating opportunities for AI platforms to address clinician gaps through leapfrogging traditional systems.
AI tools built by Emerald Force
Built and supported by Emerald Force.
You might also like
- When to Ask for JSON for Structured Output
- Fine-Tuning vs. Retrieval: Model Change or Context
- Seeing Isn’t Believing: Verify Video Evidence First
- How AI Can Build Your Case for a Better Raise
- System Prompts: Rules That Govern AI Behavior
- AI Can Draft Books, but Humans Still Make Them Great
- How AI Reviews Code: Bugs, Tests, Style, and Security
- How AI Is Regulated: From Privacy to AI-Specific Laws
- AI Agent Memory: Goals, Preferences, and Past Steps
Value Lock-In: How AI Can Entrench Narrow Values