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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.
AI is transforming agriculture, but accurate crop health monitoring depends on high-quality data labeling. Centaur.ai provides expert human annotation for aerial imagery, sensor data, and video streams, enabling early stress detection, yield forecasting, and spoilage prevention. With scale, speed, and precision, Centaur turns raw agricultural data into actionable insights.
Centaur.ai delivers high-quality annotations for neurological datasets where precision determines scientific validity. Through competitive collective intelligence, Centaur produces reproducible labels that strengthen model evaluation and training. NeurIPS attendees working with EEG, EMG, multimodal waveforms, or cognitive modeling should meet with Centaur to see how accuracy is engineered, not assumed.
How Centaur.AI leverages multiple expert opinions to create the most accurate medical data labeling platform for text, image and video data