GxP Manufacturing
Company Type
Challenges in the manufacturing industry vary significantly.
Some companies have highly digitized sites, leveraging AI for industrialization and qualification, while others still rely heavily on paper-based processes or struggle with siloed data. Some companies have developed complex systems in-house, whereas others seek external solutions.
There are large teams of data scientists attempting to crack complex problems, and business units that depend on third-party data mastery.
We understand the unique challenges each type of company faces and tailor our offerings to help them advance to the next stage of digitization:
- Big pharma
- Mid-market pharma
- Biotech
- CDMO/CMO
- API
- Other...
Process Focus
We can help manufacturing professionals gain a deeper understanding of their processes by identifying the root causes of process variability, pinpointing factors that are hindering yield improvement, optimizing capacity utilization, and more.
It's crucial not only to apply these insights across all processes, but also consider their interdependencies. AI will assist you in navigating this complexity to achieve better outcomes.
- Formulation
- Weigh & dispensing
- Fermentation
- Harvesting
- Purification
- Granulation
- Fill & finish
- Much more...
Molecule Size
Large molecules entail higher variability, longer production windows, higher value, and often lower production scale; hence, the impact of improving process outcomes is much more significant at an individual level.
Collectively, however, the huge-volume production of small-molecule drugs also benefits from smaller, incremental improvements that have a substantial impact at scale.
- Large molecule
- Small molecule
