# Propab — an AI co-researcher for ambitious science

Propab is an AI co-researcher for ambitious science. It reviews the literature, analyses data, writes and runs code in ready scientific environments, runs computational experiments on your compute or GPUs, and keeps every result traced to its source, code and data.

## Ready for the field you work in
Environments, methods and data for biology, chemistry, physics and computer science are set up before you ask your
first question: Experimental and applied, Bioinformatics, Single-cell, Population genetics, Genomics, Systems biology, Proteomics, Microbiology, Molecular biology, Structural biology, Biochemistry, Immunology, Cell biology, Microscopy, Neuroscience in biology, and the same depth in the
other three fields. See the [use cases](https://propabai.com/use-cases.md).

## One space, from the first paper to the manuscript
Research is usually spread across a dozen tools: search in one, download in another, convert with a script, run on a
cluster, write it up somewhere else. In Propab it is one place:
- **Literature** — 290M+ papers, plus patents, clinical trials and research grants.
- **Data** — 130+ databases (UniProt, ChEMBL, Ensembl, PubChem, NCBI and more), Hugging Face and Kaggle datasets, GitHub.
- **Files** — structures, sequences, single-cell data, images and tables, opened and converted as they are.
- **Code** — 40+ ready environments and 350+ proven methods.
- **Compute** — a hosted sandbox by default; your own machines over SSH and your GPU accounts when the work needs more.
- **Writing** — citations kept, a Zotero library connected, manuscripts exported to Word, LaTeX and Markdown.

## What it does
- **Every result, traced and reproducible** — each claim opens to its source, the code that ran and the data it used.
- **Real work, at scale** — thousands of experiments over days, not a paragraph in a minute.
- **Runs on your compute** — your laptop, cluster or GPUs; Propab sets up, scales up and gives back what it took.
- **Works with your data** — your files and formats, and the databases your lab already relies on.
- **You stay in charge** — steer, pause or redirect a run at any point; Propab asks when the call is yours.

## How a run works
1. Your question, in your words. 2. Propab reads the field. 3. It plans the work. 4. It runs experiments.
5. It checks the result. 6. It writes it up, and goes round again until the question is answered.

## Questions researchers ask
### How is Propab different from asking a chat assistant?

A chat assistant answers from what it remembers. Propab goes and does the work: it searches the literature, downloads the data, writes and runs the code, checks the result, and keeps going until the question is answered. A run can last minutes or days, and everything it made is kept.

### How do I check that a result is right?

Every number, figure and claim in a run opens to how it was made: the source passage it came from, the code that produced it, the inputs it read and the output it printed. Propab also runs its own checks, and it tells you when something is uncertain rather than smoothing it over.

### Does it work in my field?

Propab has ready environments for more than forty subfields across biology, chemistry, physics and computer science, each with its tools installed and tested, plus hundreds of methods it knows how to use. If your work sits between fields, it combines them.

### Can I use my own data?

Yes. Upload files or point Propab at the databases and repositories you already use. It reads common scientific formats as they are, such as structures, sequences, single-cell data, images and tables, and converts between them when a step needs it.

### Where does the code run?

In a sandbox Propab manages for you by default. When a problem needs more, connect your own machine or cluster over SSH, or your GPU account, and Propab will set up the environment there, run the work, and release what it took when it is done.

### Can I stop or change direction mid-run?

Yes. You can send a message at any point to add a constraint, change the plan or ask a question, and Propab adapts without starting over. You can pause a run and continue it later, and it asks you when a decision is genuinely yours to make.

### Who can see my runs?

Your runs are private to you. Nothing is public unless you share it: on paid plans any run can become a read-only replay with private details removed, and you can turn the link off at any time.

### Can Propab help me write the paper?

It keeps every source it read, can pull in your Zotero library, and writes up results with citations. Manuscripts export to Word, LaTeX (ready for Overleaf) and Markdown, and every number in them still points to the data it came from.

### Which models does it use?

Leading frontier models. On Auto, Propab picks the right one for each step; on paid plans you can choose any model yourself. The work around the model, including the environments, data, compute and checks, is what makes the results hold up.

Links: [Pricing](https://propabai.com/pricing.md) · [About](https://propabai.com/about.md) · [Privacy](https://propabai.com/legal/privacy) · [Terms](https://propabai.com/legal/terms)