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

December 16, 2025

The Verge: Objectively Measuring Human Data Quality

The AI industry’s rapid data economy highlights that model performance depends on high-quality human annotation, not volume alone. The Verge shows a surge of data vendors chasing market share. Centaur.ai differentiates itself by embedding domain expertise and rigorous evaluation frameworks into its annotation process, delivering data that drives reliable, real world model performance.

Continue reading →
September 15, 2025

Edge Case Detection for Robotics AI

Edge case detection enables robots to adapt to real-world variability in manufacturing, from lighting shifts to unexpected obstacles. By combining human annotation with AI training, Centaur.ai helps manufacturers reduce downtime, prevent defects, and build trust in automation. The result is safer, smarter, and more resilient robotic systems.

Continue reading →
November 10, 2025

Visit Centaur AI at RSNA 2025 | Radiology Conference

Radiology AI models are only as strong as their annotations. Centaur.ai engineers quality through collective intelligence, combining expert crowds, benchmarking, and performance-based incentives to produce validated data for model training and evaluation. Visit our RSNA booth to see how we make radiology AI accuracy inevitable at scale.

Continue reading →