Meet Centaur.ai at HIMSS 2026 

Healthcare AI is entering a phase where model performance is constrained less by architecture and more by data quality. Teams investing millions in development are discovering a simple reality: inaccurate or inconsistent training data creates downstream risk that surfaces during validation, regulatory review, or production deployment.

‍

At HIMSS 2026, Centaur.ai will demonstrate how organizations can build AI systems on a foundation of superhuman data. Visit us at booth #11222 to see how collective intelligence, expert consensus, and measurable quality workflows enable reliable AI in healthcare.

‍

If you are attending HIMSS in Las Vegas, March 9–12, the Centaur team will be available for live demonstrations, technical discussions, and private meetings.

‍

Data Quality Is Now the Limiting Factor in Healthcare AI

In 2026, one theme is becoming clear across the industry: trustworthy AI depends on trustworthy data. Many organizations initially assume model architecture will determine success. In practice, performance ceilings are usually set by the quality of training and evaluation data.

‍

Inconsistent labeling, ambiguous annotations, or poorly adjudicated edge cases introduce noise that models internalize during training. These defects often remain hidden until late-stage validation or deployment, when remediation becomes expensive and time-consuming.

‍

Healthcare adds additional complexity. Clinical decisions involve uncertainty, interpretation, and context. Creating reliable datasets requires more than annotation. It requires structured expertise and measurable consensus.

This is the problem Centaur.ai was built to solve.

‍

Centaur.ai and Collective Intelligence

Centaur.ai provides a collective intelligence platform that produces superhuman data for AI development. Rather than relying on isolated annotators, the platform combines expert contributors, AI assistance, and competitive quality measurement to generate highly accurate ground-truth datasets.

‍

The result is data that is more consistent, more reliable, and more predictive of real-world performance. Organizations use Centaur to:

‍

• Train AI models with higher accuracy ceilings
• Evaluate models against trusted benchmarks
• Identify failure modes earlier in development
• Reduce regulatory and deployment risk
• Improve confidence in production performance

This approach treats data quality as an engineering discipline rather than a manual task.

‍

What We Will Showcase at HIMSS 2026

‍

At HIMSS 2026, Centaur.ai will showcase how collective intelligence workflows translate into measurable improvements in data quality and AI reliability. Visitors will see how the platform supports multiple healthcare data types within unified workflows, including imaging, clinical text, and structured medical data. The emphasis is on maintaining consistency across modalities. 

‍

Centaur workflows enable multiple experts to review complex cases independently, followed by structured adjudication to resolve disagreements. This produces ground truth datasets that capture clinical nuance rather than averaging away uncertainty.

‍

The platform continuously measures contributor performance, agreement levels, and accuracy trends. These insights allow teams to detect issues early, route difficult cases to top performers, and maintain consistent quality over time.

AI models assist contributors by proposing candidate labels, highlighting ambiguity, and prioritizing edge cases. Human expertise remains central, but productivity increases without sacrificing accuracy.

‍

Together, these capabilities create a scalable system for producing expert-level data at speed.

‍

Who Should Visit Centaur at HIMSS

‍

The most valuable conversations usually involve professionals responsible for AI performance, clinical integration, or regulatory readiness. This includes:

‍

• AI and machine learning leaders
• Clinical informatics leaders
• Healthcare executives and innovation teams
• Regulatory and compliance stakeholders

If your organization is deploying AI in healthcare, the quality of your data is directly tied to outcomes.

‍

How To Connect 

HIMSS attendees can connect with us in the following ways:

1) Book a demo before the conference

Pre-conference engagement maximizes your time at HIMSS. A demo covers Centaur AI's platform capabilities, quality measurement approach, and how the workflow adapts to your specific data types and domain requirements. For private meetings during HIMSS26 or questions before the conference, BOOK A DEMO to see how Centaur AI can support your medical AI development.

2) Visit our booth during the event

Stop by booth #11222 for live demonstrations, product showcases, and conversations with the Centaur AI team. Booth details will be confirmed as the event approaches.