We’ve updated our Research Agent so you can go beyond documents and upload research materials like gene sequences, omics datasets, microscopy images, scientific posters, and custom files (e.g. PDB, FCS). Our Agent can now use these inputs and run data analysis, create plots, generate images and more to prepare outputs you can use.

Now that our Research Agent can do significantly more work, Elicit is moving from workflow-based limits to a monthly usage pool. Your monthly usage pool will be shared across the Research Agent, Reports, and Systematic Literature Reviews, and will scale with your plan tier. This will progressively roll out starting July 1.

Unlock research with data analysis

Our Research Agent can now handle multi-modal data analysis such as identifying differential gene expression, quantifying image phenotypes, and analyzing assay results. Start with your research files and a question. The Research Agent will find the technical tools needed for the task, and return its analysis. (See agent analyze differential gene expression)

Upload any research context you need

Our Research Agent takes a wide range of inputs beyond just documents: spreadsheets (e.g. XLSX, CSV), images (e.g. JPEG, PNG), or any custom scientific file (e.g. PDB, FCS).

Directly use the files you have and the Research Agent can read them to conduct analysis, extraction, comparison and more. (See agent handle custom FCS files)

One monthly usage pool across Elicit

With more agentic work, your plan is no longer workflow-limited. You have a monthly usage pool shared across the Research Agent, Reports, and Systematic Literature Reviews. Included usage scales up on higher-tier plans, so Pro and Scale users have more room for more frequent analyses and deeper agent sessions. Learn more in this post.

Most users should never use up their included usage. For many users, this change means more room to use Elicit across different kinds of research workflows.

Pro and Scale users who need more can turn on extra usage. You’ll be able to set a monthly spend limit for extra usage.

Why we made this change

This is the natural evolution from traditional software to AI-native products. As Elicit becomes more agentic, the work it does for you is far more variable than it used to be — a quick answer and a multi-step analysis of a large dataset are worlds apart, and a fixed count of workflows cannot capture that range.

A single pool of usage absorbs that variability. It gives you one pool of usage instead of separate buckets that don’t reflect how research actually happens. Similar to leading AI tools, this updated approach aligns the value you generate with your plan.