Helix Bio cut trial analysis from weeks to hours.
Scientists were reconciling trial, lab and wearable data by hand — weeks per readout. The loom wove the threads on-prem and flagged a safety signal eleven days before the manual review would have.
The signal was in the data. The data was in five silos.
Helix Bio's Phase II readouts depended on four systems that never spoke: electronic data capture for case reports, a lab information system for assays, a stream of wearable-sensor data, and a separate safety database. Reconciling them was a manual, spreadsheet-stitched ritual that took two to three weeks per analysis — and every step had to be auditable for the regulator.
"By the time we had a clean view, the question had often moved on," said Dr. Adèle Fontaine, Head of Data Science. "We were data-rich and insight-poor."
An on-prem loom, inside their walls.
Because the data was sensitive, Helix ran the loom entirely within their own environment — no record ever left the building. Five threads, full lineage on every weave, validated for GxP.
Two patterns and a knot that mattered.
“The loom found a safety signal before we did. In our world, eleven days is everything.”
Hours, not weeks — with the paper trail intact.
What took three weeks now takes an afternoon, and every figure carries its lineage automatically, ready for the regulator. Freed from reconciliation, the science team now explores roughly four times as many hypotheses per readout — and the earlier the loom catches a signal, the safer the trial.
"We didn't replace our scientists," Fontaine said. "We gave them back the weeks they were spending on glue."
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