# ApplicationsAsta agents

An agentic tool for scientists that brings search, synthesis, and data analysis together in one place–helping navigate large volumes of information, analyze data, and generate insights efficiently, without compromising scientific rigor.

[Asta](/content/asta/index.html) [Asta agents](/content/asta/agents/index.html) [AstaBench](/content/asta/bench/index.html) [Asta resources](/content/asta/resources/index.html) [Asta leaderboards](/content/asta/leaderboard/index.html)

[Research with Asta](https://asta.allen.ai/)

## Find papers

### Quickly and precisely surfaces hard-to-find scientific research papers.

Asta offers an AI-powered literature search system—like Google Scholar on steroids. It breaks down a query into components, searches for papers, follows citations, evaluates for relevance, and then presents studies along with summaries of why each is pertinent to the original query.

[Try it out](https://asta.allen.ai/discover) [Access open source code](https://github.com/allenai/agent-baselines?tab=readme-ov-file#asta-science-agents)

## Summarize literature

### What used to take a researcher a week of literature‑mining now lands in seconds.

Asta's summarization tools answer complex scientific questions at speed and scale. Asta hunts through our 100 million‑paper abstract index and our new 12.4 million full-text index and re‑ranks the best passages—filtering, clustering, and weaving the evidence into a readable mini‑review.

[Try it out](https://asta.allen.ai/synthesize) [Read the paper](https://www.semanticscholar.org/paper/Ai2-Scholar-QA%3A-Organized-Literature-Synthesis-with-Singh-Chang/6dfbddc07e942116c7a95b23a393e9deb5a47484) [Access open source code](https://github.com/allenai/agent-baselines?tab=readme-ov-file#asta-science-agents)

## Analyze data

### Automated scientific data analysis, driven by powerful AI agents.

Asta's data analysis capabilities synthesize results, generate visualizations, and spot patterns that inform next steps—making it easier to extract insights from data. Using natural language, researchers can describe what they want, and Asta will deliver.

[Try it out](https://asta.allen.ai/discover) [Read the paper](https://www.semanticscholar.org/paper/Data-driven-Discovery-with-Large-Generative-Models-Majumder-Surana/8b7fee2d868132955d0eed1ef33d49b49c5f456e) [Access open source code](https://github.com/allenai/agent-baselines?tab=readme-ov-file#asta-science-agents)

## See what's possible

[Research with Asta](https://asta.allen.ai/)