LLM Research

LLM Research

Our LLM research teams investigate the safety, clinical accuracy, and patient impact of healthcare AI models, so that artificial intelligence improves access to care as it becomes increasingly capable.

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Polaris 6: the first healthcare model with bedside intuition

Six upgrades to how a healthcare model listens, thinks, and speaks

Polaris 6: the first healthcare model with bedside intuition

Polaris 6: the first healthcare model with bedside intuition

Built on the only model benchmarked safe enough for patient-facing care, Polaris 6.0 Ultra brings a 7.4-trillion-parameter safety constellation, a more human voice, clinical hearing, advanced common sense and real-time intuition.

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Voice, Safety, and Latency: Building AI for Healthcare Conversations (Part 2)
Inference// Speech

Voice, Safety, and Latency: Building AI for Healthcare Conversations (Part 2)

How we engineered a voice stack that answers in under a second โ€” and feels human doing it.

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Inference// Safety// Speech

Voice, Safety, and Latency: Building AI for Healthcare Conversations (Part 1)

Why holding a natural healthcare conversation is one of the hardest problems in real-time AI.

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Benchmarks// LLM// Safety

Hippocratic AI Launches Polaris 5.0: The First Evidence-Based AI for Healthcare Proven to Outperform Major Frontier Models

Announcing Polaris 5.0 โ€” built on 180M+ real patient interactions and benchmarked against every major frontier model.

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LLM

The Agentification of Software Development

How AI agents are rewriting the way software gets built โ€” a view from our CPO.

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Benchmarks// Safety

Introducing Real-World Evaluation of Large Language Models in Healthcare (RWE-LLM)

A new safety standard: licensed clinicians stress-testing healthcare AI on real outputs at scale.

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LLM// Safety

Our Safety-Focused Healthcare LLM Is Now Patented

Our core safety architecture โ€” the real-time feedback loop behind every call โ€” is now a granted US patent.

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LLM// Speech

Closing the Care Gap: AI Care Agent Boosts Colorectal Cancer Screening and Reduces Disparities in Spanish-Speaking Populations

The case study behind our JMIR paper: 2.6x higher cancer-screening opt-in among Spanish speakers.

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LLM// Safety// Speech

Polaris 2.0

Announcing Polaris 2.0: a 3-trillion-parameter constellation that made healthcare AI safer, smarter, and multilingual.

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LLM

Safety in Action

Real stories of the AI catching problems on calls and getting patients to the right level of care.

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Speech

Paving the Way Towards Improved Empathetic Intelligence โ€” Part 1

Making an AI voice that doesn’t just say the right thing โ€” it sounds like it cares.

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