Bionamic

The operating system for AI-native biotech and biologics teams

What Bionamic is

Bionamic is a web application for biotech research teams. It brings shared files, scientific applications, AI agents, and computational tools into one workspace that researchers access through a browser. AI agents are optional.

Bionamic workbook showing antibody records, VH and VL annotations, CDR sequences, and a VH residue-count histogram created through the personal assistant.
Antibody records with VH/VL annotations and a residue-count histogram created through the assistant.

The shared workspace and applications

The workspace provides a shared file system for the team. Files can include workbooks, sequences, NGS data, protein structures, notes, scripts, and other project material. The Files app lets you browse and organize folders and open files in the relevant application.

Every saved file keeps its versions, so changes, including an agent’s, can be reviewed and earlier versions read again. Deleted files can be restored. Large files such as NGS FASTQ files and SQLite databases are worked with in place, and agents can query a database with SQL.

Bionamic’s Files app showing shared project folders, reports, scripts, sequences, and workbooks, with workspace navigation visible.
The Files app with the team’s shared project folders, reports, scripts, and workbooks.

The workbook presents scientific data in a spreadsheet. Researchers can bring in data from Excel and sequence files, organize antibody records, inspect annotations, and compare calculated properties alongside experimental results.

Sequence and molecule viewers help researchers inspect chains, annotations, and three-dimensional structures. Notes and scripting support the surrounding work: documenting an analysis, transforming data, and repeating a workflow. Files remain part of the workspace as you move between applications.

Personal assistants

A personal assistant works in a conversation private to your account. It appears alongside the applications so that you can ask questions while working with your data.

The assistant receives context about the application and file you have open. In a workbook, that context includes the current sheet and selection. It can use tools to read relevant material, explain results, edit files, and carry out analyses. You can follow up in the same conversation and ask it to refine or save its work.

An ongoing conversation with the personal assistant: comparing antibody variants, explaining recommendations, and saving a Summary sheet after a follow-up request.
An ongoing assistant conversation about antibody variants, with a follow-up request to create a summary sheet.

A private conversation can still produce shared files. When an assistant updates a shared workbook or saves a result in the workspace, colleagues with access to that material can use it. Researchers remain responsible for reviewing scientific conclusions.

Channels and channel agents

Channels provide shared conversations for researchers and agents. A team can discuss a project, ask questions, share findings, and follow the work of a channel agent together.

Channel agents have the same capabilities as personal assistants, but participate in shared conversations.

Channel agents can be configured to respond automatically to new posts. Their behavior and available tools are configured for the team’s work.

Bionamic channel showing a researcher and an agent discussing antibody structures, saving a predicted Fv structure, and asking a colleague to review it.
A channel where a researcher and an agent save a predicted Fv structure and ask a colleague to review it.

Scientific tools and customization

Bionamic includes bioinformatics tools for tasks such as sequence analysis, antibody annotation, structure prediction, and developability assessment. Researchers can run tools through scripts or ask a personal assistant or channel agent to use them. Agents can start long compute jobs, such as structure prediction on a GPU, and continue with the results when the jobs finish.

Bionamic molecule viewer displaying a predicted adalimumab Fv structure with heavy- and light-chain sequences.
The molecule viewer displays a predicted antibody structure alongside its sequences.

The custom toolbox extends the capabilities available to your instance. Additional tools and scripts can support team-specific analyses, and an agent can build and install new tools for your instance.

Bionamic can also work alongside ELNs, LIMS, and other research systems through agreed integrations using APIs, file exchange, and scripts. The Revvity Signals integration is one example.

Research use cases

Bionamic is built around concrete research workflows, from profiling antibody candidates to registering them in an ELN. We add new use cases in collaboration with customers.

Explore use cases

Sign in

Each researcher has an account. Bionamic supports passkeys and emailed sign-in links, and administrators manage team membership and application access. Single Sign-On with your organization’s identity system and IP restrictions are available on request.

Hosting

Bionamic can host the platform for you, or it can run on your own infrastructure, including on-premises servers. AI models can run through a hosted provider, on Bionamic servers, or on your own.