Autoscience Institute Introduces

Carl

The first AI system to produce academically peer-reviewed research

1st AI-authored paper accepted to peer-reviewed ML conference workshop
100s of papers synthesized per review
Days not months to create ML research papers

Machine Learning research shouldn't take months.

Creating ML research requires reading dozens of papers, tracking citations, writing code, and synthesizing findings into coherent narratives.

Researchers spend weeks—sometimes months—on this foundational work before they can share their own hypotheses and results.

Graduate students drown in PDFs. Principal investigators delay projects waiting for background research. Entire fields move slower than they should.

What if a research paper only took days instead?

How Carl works

01

Ideation

Carl reads research papers and identifies hypotheses that would advance the state of the field.

02

Execution

Carl executes experiments to test the hypotheses.

03

Presentation

Carl synthesizes its findings and structures experimental results into a full-length research paper.

Weeks to Days

Transform months of reading into comprehensive synthesis in a fraction of the time. Start your research from a position of deep understanding.

Find the Gaps

Carl identifies not just what's been studied, but what hasn't. Discover unexplored intersections and underexamined assumptions in your field.

Research Paper Output

Generate structured LaTex that serves as a starting point for introduction sections, related work, or standalone papers.

Start researching with Carl

Complete your academic ML research in days, not weeks.

Get Started