Blog

Autoblocks ✕ Centaur Labs

Tristan Bishop, Head of Marketing

April 23, 2025

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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?

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That’s the gap Autoblocks and Centaur Labs are closing together.

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Why We’re Teaming Up

Automation without blind spots. Autoblocks stress-tests every version of your model against real-world scenarios—think “230-lb diabetic with atypical labs” rather than “lorem ipsum patient.”
Human judgment on demand. Centaur pipes in a global network of rigorously credentialed medical pros to grade outputs, flag risk, and hand back gold-standard labels.

Individually, we each make your model smarter. Together, we give you an evidence trail a regulator (and your medical director) will actually trust.

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What You Get on Day 1

Bullet-proof data and labels

Expert-quality data labels from Centaur Labs are consistently more accurate than those gathered using traditional methods—Autoblocks ingests the results automatically.

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Feedback loops in hours, not quarters

Push a new prompt or parameter set in the morning; by lunch you’ve got edge-case scores and expert comments.

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Compliance baked in

Every test, every annotation, and every fix is time-stamped and exportable. SOC 2 auditors love us; your legal team will too.

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Confidence to ship

No more “pray and spray.” When the dashboards are green—you go live.

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Early-Access Beta (Limited Seats)

We’re opening a short beta window for teams shipping AI in regulated environments. Beta partners will:

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Jump the queue for upcoming workflow features.
Shape the roadmap—direct Slack channel with both product teams.
Get starter credits on both platforms (so Finance doesn’t slow you down).

⚡️ The wait-list takes 30 seconds. If “HIPAA” or “FDA” slides are in your next board deck, this is for you.

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Join the Beta →

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Speed used to be at odds with safety. Not anymore. Autoblocks ✕ Centaur Labs gives you both—so you can focus on building the future of healthcare instead of firefighting the past.

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See you in the beta. Let’s raise the bar together.

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August 1, 2020

Building a scalable and accurate medical data labeling pipeline

Examine the unique challenges of medical data labeling, why traditional methods fall short, and explore a more accurate, scalable alternative solution.

May 9, 2025

Case Study: Evaluating auto-segmentations for RYVER.AI’s synthetic medical data solution

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.

October 8, 2024

Announcing our $16M Series B to accelerate AI for health and science

Explored data curation strategies to mitigate bias in medical AI, with a focus on diverse datasets, expert input, and ensuring fairness in results.

Accurate and scalable health data labeling and model evaluation