Claude for Life Sciences

Increasing the rate of scientific progress is a core part of Anthropic’s public benefit mission.

We are focused on building the tools to allow researchers to make new discoveries – and eventually, to allow AI models to make these discoveries autonomously.

Until recently, scientists typically used Claude for individual tasks, like writing code for statistical analysis or summarizing papers. Pharmaceutical companies and others in industry also use it for tasks across the rest of their business, like sales, to fund new research. Now, our goal is to make Claude capable of supporting the entire process, from early discovery through to translation and commercialization.

Many of our existing customers and partners have already been using Claude for a broad range of real-world scientific tasks:

To make Claude more useful for scientific work, we’re now adding several new connectors to scientific platforms, the ability to use Agent Skills, and life sciences-specific support in the form of a prompt library and dedicated support.

We’re providing hands-on support from dedicated subject matter experts in our Applied AI and customer-facing teams.

When creating an AI agent for bioinformatics analyses, we focused on three key factors: top software development, life sciences alignment, and startup support. We evaluated half a dozen platforms, and Claude was the standout leader. We're excited to continue this collaboration and bring cutting-edge AI agents into biotech research.

To do this, we’re rolling out several improvements that aim to make Claude a better partner for those who work in the life sciences, including researchers, clinical coordinators, and regulatory affairs managers.

First, we’ve improved Claude’s underlying performance. Our most capable model, Claude Sonnet 4.5, is significantly better than previous models at a range of life sciences tasks. For example, on Protocol QA, a benchmark that tests the model’s understanding and facility with laboratory protocols, Sonnet 4.5 scores 0.83, against a human baseline of 0.79, and Sonnet 4’s performance of 0.74. 1 Sonnet 4.5 shows a similar improvement on its predecessor on BixBench, an evaluation that measures its performance on bioinformatics tasks.

Connectors allow Claude to access other platforms and tools directly. We’re adding several new connectors that are designed to make it easier to use Claude for scientific discovery: