Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Subscribe to our monthly newsletter
Copyright © 2025. All rights reserved by Centaur.ai
Blog

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.
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 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.
Centaur partnered with Ryver.ai to rigorously evaluate the accuracy of their synthetic lung nodule segmentations. Using our expert-led validation framework, we found Ryver’s synthetic annotations performed on par with human experts—highlighting synthetic data’s growing role in medical AI development.
Supply chains run on data, but manual entry creates errors that block automation and weaken AI. Annotated documents deliver structured, high-quality data ready for both workflow automation and LLM training. With Centaur.ai, businesses achieve faster approvals, reliable compliance, and datasets that power predictive, AI-driven supply chains.
Synthetic financial datasets let banks and financial firms train AI models safely without exposing customer data. By replicating real-world patterns without real records, they improve fraud detection, credit scoring, and compliance testing. Centaur.ai provides expert-annotated, scalable synthetic data to power privacy-safe innovation in financial AI.