Blog

Announcing our $15M Series A led by Matrix Partners to annotate the world's medical data

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

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.

Related posts

January 10, 2021

From MVP to scaleup: how to 10X your medical data labeling pipeline

Understand why traditional labeling pipelines are hard to scale—and discover how our solution can 10X your pipeline faster, with greater accuracy and efficiency.

Continue reading →
August 19, 2022

Natural Language Processing (NLP) in Healthcare

Learn all about NLP in healthcare - and the medical text datasets that power it - in our new 4-part blog series.

Continue reading →
June 6, 2025

Unlocking Better AI with Cognitive-Inspired Data Engineering

Centaur Labs’ latest study tackles human bias in crowdsourced AI training data using cognitive-inspired data engineering. By applying recalibration techniques, they improved medical image classification accuracy significantly. This approach enhances AI reliability in healthcare and beyond, reducing bias and improving efficiency in machine learning model training.

Continue reading →