Sapio Sciences announced that FairJourney Bio (FJBio) will replace spreadsheet-based records and manual reporting processes across its international operations using the Sapio Scientific AI Platform, including Sapio’s LIMS, ELN and AI co-scientist solutions.

The Sapio Scientific AI Platform will serve as the informatics backbone across all of FJBio's discovery and cell sciences operations.

Sapio’s ELN solution will record experimental data across phage display, screening and cell sciences programs, replacing the need for scientists to capture data on paper templates before manually re-entering results into spreadsheets. As FJBio's program portfolio has grown across three sites, the Sapio LIMS gives the company a single entity registry, from target registration through clone identification and screening results, searchable across programs.

The solution will also ensure integration of laboratory instruments, connecting instrument output directly to Sapio’s experiment records and eliminating manual data transcription at the bench. FJBio clients will now get more scientist time on their programs and their data sooner. Structured client data reports, that were assembled by hand from individual experiment records will now come straight out of the platform, expected to return up to 40% of scientific staff time back to discovery.

Elain, Sapio’s native AI co-scientist, brings intelligence directly into FJBio’s scientific workflows. Working across the structured experimental data held within the Sapio Platform, Elain enables scientists to interact with their data using natural language, without leaving the environment where their experiments, samples and results are managed.

Elain is designed to help scientists understand, reason and act. It can find and summarize information across experimental records, analyze scientific data and surface relevant insights. It can then help scientists act on those insights by generating reports, supporting workflow execution and automating repetitive tasks. For FJBio, this creates the potential to reduce time spent searching for information, consolidating results and preparing client deliverables, giving its scientists more time to focus on advancing antibody discovery programs.

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