Healthcare LLM & Software Training Data

From chatbots answering questions to model quality control and evaluation at scale, Centaur.ai provides high-quality solutions for LLMs and software.

Use case

Powering LLM and software development with cutting-edge annotation capabilities.

Patient communication

Researchers are exploring ways to improve clinical decision-making, whether through improved skill assessment and development or through AI-enabled tools proven to enhance performance.

Natural language description of medicine and potential side effects
Patient care coordination, scheduling and follow-up

Search & summarization

Developers and researchers are partnering to develop AI and ML algorithms to accelerate science innovation.

Scientific literature search for researchers and patients
Summarization of imaging report and scan

Documentation generation

Researchers across multiple disciplines are leveraging large and diverse datasets for analysis and discovery.

Drafting regulatory submissions
Drafting clinical notes

Why Centaur.ai

We deliver unmatched accuracy, speed, and scalability—helping you ship better AI, faster.

Speed and scale

Access millions of annotations weekly from a network of thousands of experts, taking models from exploratory analysis to deployment in weeks, not months.

Quality by design

Experience how label quality is built into the Centaur.ai system, with frequent performance measurement and pay-for-performance incentives.

Advanced dataset insights

Leverage more reliable statistical information to inform your algorithm training plan.

Privacy and security

Worry less with leading privacy and security capabilities.

Quality focused

Lean on Centaur.ai expertise as the premier annotation company leveraging collective intelligence to ensure quality.

All data types

From individual types to multimodal solutions, get all of your annotation needs in one single platform.

Industries building models with Centaur.ai

Powering innovation across the world with superior quality data annotation.

LLMs and Software: From chatbots answering patient questions to expert review of LLM outputs.
Hardware Devices: From software as a device to next-generation AI-enabled hardware devices.
Life Sciences: From accelerating drug discovery to leveraging real world evidence.
Insurance: From accelerating claims processing and reimbursement, to improving customer service.
Consumer: From skin matching AI for cosmetics, to AI-enabled wellness applications.