Process Development

Characterize, scale up, and validate processes with confidence

Optimize upstream and downstream process development across scales with Basetwo’s low-code AI platform.

Build reliable process
models from high throughput

Go beyond traditional DoE and response surface modelling. With Basetwo's platform, scientists can build highly scalable hybrid ML-process models and reliably optimize control spaces from HTPD data (i.e. Ambr-250, RoboColumn, PreDictor well-plates, etc.).

Rapidly screen and optimize consumable productivity and utilization.

Build machine learning and process models to predict the utilization and degradation of consumables such as resins and filter media.

Build scale-up process models with confidence.

Enable cross-learning from previous scale-ups by training machine-learning models with historical manufacturing data, even from related processes at different scales.

Easily ingest data from multiple systems.

Integrate with leading laboratory information management systems (LIMS) to ingest critical data from lab-scale experimentation. Moreover, Basetwo is able to easily integrate with data that is already hosted in a cloud-based data lake (i.e. ADLS).

Use Cases

A platform tailored for today’s biopharma manufacturing challenges

Optimize Antibody Titers
Optimize Antibody TitersDiscover more
Maximize Resin Lifetime
Maximize Resin LifetimeDiscover more
Optimize column loading rates
Reduce Tech Transfer RiskDiscover more

See what Basetwo can do for your team