Propab reviews the literature, analyses data, writes code and runs computational experiments, so you move from idea to evidence faster.
With Propab
Propab reads, fetches, computes and writes in the same place, and keeps the trail between every step. Open any of these runs.
What it does
01
Each claim opens to its source, the code that ran and the data it used.
02
Thousands of experiments over days, not a paragraph in a minute.
03
Your laptop, your cluster or GPUs. Propab sets up, scales up, and gives back what it took.
04
Your files and formats, and the databases your lab already relies on.
05
Steer, pause or redirect a run at any point. Propab asks when the call is yours.
How a run works
Propab goes round this loop until the question is answered.
01.Your question
In your words, as broad or as narrow as it really is.
02.Reads the field
Papers, patents, trials and datasets, with every source kept.
03.Plans the work
Hypotheses and experiments, laid out before anything runs.
04.Runs experiments
Code in a ready environment, on the compute it needs.
05.Checks the result
Controls, error bars, and a second look at anything surprising.
06.Writes it up
A report where every number links back to how it was made.
Questions
Something else on your mind? Ask us.
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.
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.
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.
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.
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.
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.
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.
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.
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.