Keep the culture’s history.
For microbiology and research laboratories
Build a culture-tracking system that lets the next researcher understand the material in front of them. Connect its origin, storage location, observations, and handoffs so continuity does not depend on one person’s memory.
- Follow the culture back to its source
- Find its current storage location
- Carry observations through the next handoff
A way to earn: Sell laboratory subscriptions with data-migration services.
A focused first release: Link strain records, storage locations, and culture-history entries.
The customer leaves with: A traceable history linking the culture to its source, location, observations, and previous owner.
Trace a result to its sample.
For biotechnology research teams
Build a lineage tool that follows how preparations and experiments branch from an original sample. When a result is questioned, the team can trace the material and identify the records and people needed for the review.
- Follow parent-child sample relationships
- Find the preparation behind a result
- Identify who can resolve a missing record
A way to earn: Sell team and facility licences.
A focused first release: Map parent-child sample relationships for one existing laboratory workflow.
The customer leaves with: The full path back to the starting material, with preparation records and responsible people at each step.
Get reviewed cell counts.
For research imaging facilities
Build an AI image-analysis workspace that helps researchers move from microscopy files to reviewed measurements. Keep proposed cell boundaries, corrections, and image references together so results can be checked and reproduced.
Where AI helps. AI proposes image segmentation for a defined research workflow. Researchers correct the boundaries and approve the resulting measurements.
- Review proposed cell boundaries on the image
- Correct missed or merged objects
- Export counts with their image and analysis references
A way to earn: Sell facility plans based on users and processed image volume.
A focused first release: Support one research image type with editable segmentation and count review.
The customer leaves with: A reviewed count table linked to the source images, corrected boundaries, and analysis version.
