Every run, every instrument, one lab record
Bioreactors, liquid handlers, plate readers and imagers on one timeline, with every batch traceable from protocol to result.
Lab data that keeps up with the bench
When instruments run around the clock, the record has to build itself instead of waiting for someone to export files at the end of a run.
Batch records that write themselves
Every run lands with setpoints, deviations, operator actions and results attached, ready for review.
Catch drift before the batch is lost
Trend dissolved oxygen, pH and feed rates against past batches and flag the outlier while there is still time to act.
One deviation, every batch checked
Search every past run for the same signature and see whether it is one sensor or a process problem.
Every reading, setpoint change and approval is time-stamped and attributed, so the record holds up in a review.
One platform, first prototype to fleet
The record built in development carries into validation and operations — nothing starts from scratch.
Connect the first article, name channels once, and start recording at full rate from day one.
Run sequences, check redlines as data lands, and hand the review board a traceable report.
Every unit records to a local spool, connected or not, and syncs into one shared record.
Search every run for one signature. Turn one incident into a coverage set or a training set.
What teams get back
Instrument data, protocol steps and results sit in one record, so review starts from facts instead of exports.
Cross-batch trending flags a drifting probe or a slow feed before the run is out of spec.
A lab that keeps its own record
Every run writes its own history. Phloem turns instrument files into one record the whole team can search.