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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.
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.
Medical assessments are rarely black and white. To handle the grey, we offer a rigorous, data-driven approach to QA.
Centaur Labs contributes high-quality data annotations to enhance Consensus’ scientific search algorithm, improving accuracy and boosting research capabilities.