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Blog
Building AI that actually works in healthcare isn’t about clever prompts or bigger GPUs. It’s about proof: Can your model handle the messy edge cases a clinician will see on day one? Can you explain—line by line—why it gave that answer, and who confirmed it’s correct?
That’s the gap Autoblocks and Centaur.AI are closing together.
Individually, we each make your model smarter. Together, we give you an evidence trail a regulator (and your medical director) will actually trust.
Expert-quality data labels from Centaur Labs are consistently more accurate than those gathered using traditional methods—Autoblocks ingests the results automatically.
Push a new prompt or parameter set in the morning; by lunch you’ve got edge-case scores and expert comments.
Every test, every annotation, and every fix is time-stamped and exportable. SOC 2 auditors love us; your legal team will too.
No more “pray and spray.” When the dashboards are green—you go live.
We’re opening a short beta window for teams shipping AI in regulated environments. Beta partners will:
⚡️ The waitlist takes 30 seconds. If “HIPAA” or “FDA” slides are in your next board deck, this is for you.
Speed used to be at odds with safety. Not anymore. Autoblocks ✕ Centaur.AI gives you both—so you can focus on building the future of healthcare instead of firefighting the past.
See you in the beta. Let’s raise the bar together.
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.
Recommendation engines depend less on algorithm choice and more on training data quality. Centaur.ai combines human expertise with scalable infrastructure to deliver context-rich annotations that enhance personalization. From reviews and purchase histories to product images, Centaur.ai ensures recommendations are relevant, accurate, and adaptable, driving loyalty and long-term value.
Erik Duhaime, CEO and Co-founder of Centaur.ai, discusses the impact of generative AI on healthcare and life sciences in an interview with Emerj.