Industries / Pharma & life sciences
Failed batches, traced to the cause.
Every batch is documented in detail. Juron compares failed batches with good ones and finds the settings that matter, with a record reviewers can audit.
Book a proof sessionProblems we solve
- Find what drives failed batches
- Find the process settings behind yield
- Automate routine quality trend checks
How results are measured
Batch yield against your current process.
Every solution is tested on recent data it never saw and compared with how you work today. You decide what to switch on.
3 of 4failed batches traced to a single process window, investigations closed in days, not weeks · illustrative
The app your team uses
Batch review app
Built on frozen, tested workflows. Deployed once and shared by role. Anyone can ask Juron how a number was counted.
APPS / BIOLOGICS SITE 2Live · v2
Batch review · Bioreactor 2
Batches reviewed48
Failed4
Traced to one window3 of 4
| Factor | Link to failure |
|---|---|
| Dissolved oxygen dip Hours 52–60 | High |
| Feed lot B-118 Raw material | Medium |
| Temperature drift Hours 10–20 | Low |
| Operator shift Process | Low |
What should we change first?
Juron
Tighten the oxygen control between hours 52 and 60. No good batch had a dip there; three of the four failed batches did.
Where the data comes from
Juron works with the data pharma & life sciences teams already have.
No migration project. Our team connects it during the pilot.
ProblemSlow deviation investigations
Built on:→ Data → Workflows → Frozen API → App
Juron→ Batch review app