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Biocompile documentation
How to use Biocompile, the AI research workspace for life-science R&D: projects, the assistant, lab files, skills and organization security, task by task.
Get started
- Introduction Biocompile is an AI research workspace for life-science R&D where you ask your lab files and the literature, run Python and R analyses and keep decisions.
- Quick start Create a Biocompile project, ask the AI research assistant about a plate-reader CSV, check the Python code behind the answer and keep the result on the project.
Browse by topic
Projects and assistant
Keep a line of research on a project, ask questions, run analyses and turn results into project records.
Files and data
Bring files in, preview them and work with tables and workbooks.
Organizations and security
Control which models, tools and destinations your organization may use.
Biocompile at a glance
Biocompile is a research workspace for life-science R&D teams with an electronic lab notebook built in, made by Biocompile, Inc.
- Electronic lab notebook: experiments with structured steps and rich-text notes, protocols published as frozen versions that experiments bind to, electronic signatures that lock a record, and roles at organization, team and project level.
- Ask questions in plain language about files you upload. There is no schema to fill in first.
- Analysis runs as real Python and R code in a private sandbox, with Bioconductor available for standard genomics work. The code is shown alongside the result.
- Data is stored in Europe and everything uploaded is encrypted. Research data is never used to train models and is never shared with another customer.
- Literature search across PubMed, arXiv, bioRxiv, OpenAlex and Semantic Scholar, plus patent search filtered by classification, assignee and country. Every answer links back to the source it came from.
- More than twenty biological databases are reachable from the same place, including UniProt, PDB, Ensembl, NCBI, Reactome, ChEMBL, gnomAD, ClinVar and GTEx.
- Decisions, dead ends and open questions are recorded on the project rather than in a chat log, with evidence links and a hash-chained audit trail.
- Every entry shows whether a person asserted it or the assistant proposed it. The assistant proposes changes to a project and a person reviews them, unless that person has switched on Auto Mode, which applies the assistant's contributions without asking.
What we are building next
- Connectors to Google Drive, Zotero and Mendeley are in testing, so research can be worked with where it already lives. Until they reach your workspace, files come in by upload.
- Connections to ELN and LIMS systems such as Benchling, to laboratory instruments and to in-house databases are built together with the teams that use them, so the data stays in the system that keeps it.
- Capabilities a lab needs inside Biocompile itself, such as sample and inventory tracking, are built with the first teams that ask for them.
There is no migration: teams keep their ELN, LIMS and databases, and Biocompile connects to them rather than replacing them. If your research needs a connection or a capability that is not here yet, we are glad to build it with you. Tell us what your research needs.