Digital twin & synthetic data
Simura
Hit spec before the batch.
Simura is the digital twin and synthetic-data engine underneath the whole suite. It simulates the line before you run product, and it generates the rare-event data that trains every other Sterira agent.
The problem
Why this station is so unforgiving.
Fill-finish teams commit million-dollar batches on craft-based setpoints, with no way to test fill parameters, lyo ramps, airflow, robot paths, or inspection settings first.
The rare events that matter most, the CCI failures, cake collapses, and contamination excursions, never happen in enough volume to train reliable models. So process development stays slow, conservative, and expert-bound, and every new product or container starts almost from scratch.
What Simura does
Hit spec before the batch.
Simura simulates filling, the freeze-dry cycle, contamination airflow, robot handling, and inspection, so the line converges on spec in silico before a single vial is filled.
It also generates labeled synthetic rare-event data that trains Fillix, Vistra, Lyovex, Asepta, and Roboq. It is the shared substrate the whole ecosystem learns on.
Capabilities
Built for the digital twin & synthetic data.
Digital twin of fill, lyo, airflow and contamination, robotics, and inspection
Pre-batch parameter optimization, so you hit spec before the batch
Synthetic generation of rare defects, particles, CCI failures, collapse, and contamination
Tech-transfer and new-product or container bring-up, accelerated
Validated training data feeding every other Sterira product
At a glance
Where Simura runs, and for whom.
Recurring SaaS that lands on one station and expands across the suite and the fleet, on a paid pilot measured against a hard reject, deviation, or yield metric.
See pricing →One ecosystem
Simura is one station of the Sterira suite.
Simura trains and pre-validates every other product, from Fillix's fill control to Vistra's defect models to Roboq's motion policies.
Fillix
Vistra
Roboq