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Blog
Centaur.ai has teamed up with Consensus, an emerging AI-powered scientific search engine, to accelerate AI development with high-quality, expert annotations. Faced with the challenge of extracting precise information from scientific literature, Consensus turned to Centaur.ai’s collective labeling platform, which combines robust software with a vetted network of scientists and doctors.
In just two weeks, Centaur.ai delivered over 100,000 unique expert labels, meeting Consensus’s needs for scale and accuracy. “Because of the unique Centaur.ai data labeling solution that not only provides the software to complete labeling tasks but also provides a network of experts… it was a no-brainer to work together,” said Consensus CEO Eric Olson. Centaur.ai managed the full lifecycle, from sourcing annotators to quality assurance, allowing Consensus to focus on refining its models. That rapid success laid the foundation for an ongoing collaboration to ensure their AI continues delivering the most accurate scientific insights.
Erik Duhaime, co-founder and CEO of Centaur.ai, reaffirmed the company’s commitment to advancing AI through expert-driven data: “We’re excited to partner with teams on the cutting edge of healthcare and AI… We’re thrilled to support them both as they move to general availability.” Moving forward, both teams aim to leverage this synergy to offer users instant access to rigorously vetted research findings, underpinned by scalable, collective expert intelligence.
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.
Learn more about how Centaur.ai is working with the Brigham and Women's Hospital team to develop multiple AI applications for point-of-care ultrasound.