Blog

Centaur AI Series A Announcement

Author Image
Erik Duhaime, Co-founder and CEO
September 3, 2021

Centaur Announces $15M Series A

We are humbled and excited to share our recent $15M Series A funding round led by Matrix Partners! We’re thankful to Matrix and our other investors in this round including Accel, Global Founders Capital, Susa Ventures, Y Combinator, Omega Venture Partners, and other individual investors. We’d also like to thank all of our advisors, partners, and customers for their support.


Our beginnings

One of our core values at Centaur Labs is “Every Voice Counts.” This value is not only central to our company culture but also to our company history, our DNA. Our approach is based on Erik's PhD research at MIT’s Center for Collective Intelligence. The idea is that multiple opinions combined intelligently are going to be more accurate than any single opinion alone. Applying this theory to medicine and AI, we’re leveraging a network of medical experts and performance assessments to label training data. Our mission is to annotate the world’s medical data accurately so that medical AI can make the impact it’s destined to. When we first started about 2 years ago, we were collecting ~160,000 opinions per week. Today, we’re at 1 million!


Our goals moving forward

Our Series A funding enables us to continue our work by growing our team (engineering, data science, marketing, and sales) and continuing to invest in our network of medical experts. 


We’re thrilled to continue on our journey to build a global network of people and machines that are trusted based on their performance to solve medical problems.


Read more about our Series A funding round at Forbes here.


Schedule a demo with Centaur.ai

Related posts

November 3, 2025

Why Radiology AI Can't Afford Poor Annotation | Centaur AI

Radiology AI requires engineered annotation quality for training and evaluation to avoid dangerous clinical error. Centaur uses collective intelligence to outperform individual annotators and create reliable labels for imaging tasks like stroke detection and tumor classification, producing scientifically trustworthy datasets for LLM evaluation and high stakes medical AI applications.

Continue reading →
September 7, 2023

Colonoscopy Video Annotation for GI AI | Centaur AI

Centaur Labs’ scaled expert annotation of colonoscopy videos, achieving high throughput and consensus, dramatically enhanced the quality and speed of Satisfai Health’s GI AI development.

Continue reading →
August 28, 2025

Energy & Climate AI: Smarter Data Labeling | Centaur AI

AI models in climate and energy depend on accurate data, not just algorithms. Centaur.ai delivers expert-validated, edge-aware labels that adapt to shifting seasons, regions, and infrastructure. From tagging satellite imagery to QA-ing emissions outputs, our collective intelligence approach ensures more reliable insights for planet-scale challenges.

Continue reading →