Scale Up and Scale Down Models Patents: Who Leads, Gaps 2026
Scale Up and Scale Down Model Patents: Mapping the Filing Field
A digital-first pivot. the most active recent filer is a data-processing company, not a bioprocess equipment maker, pulling this field toward computational modeling rather than tank hardware. Annual counts move from 1 filing in 2017 to a peak of 10 in 2018, then run through to 5 in 2026, a year that is still open at the data cut-off. With fewer than four complete post-lag years to compare, no growth rate can be stated responsibly.
- 1ATOMBEAM TECH INC12
- 2THE GOVERNORS OF THE UNIV OF ALBERTA10
- 3BAYER CORP9
- 4NOVA CHEM (INT) SA9
- 5TANVEX BIOPHARMA USA INC5
See the full scale up and scale down models analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions on scale up and scale down model patents
What counts as a scale-down model patent in bioprocessing?
In this corpus, a scale-down model patent typically claims a method or system for predicting large-scale process behaviour from small-scale experiments using matched parameters such as power per volume, mixing time or gradient exposure. Filings range from classical bioreactor scale-translation methods to newer computational tools that run statistical comparisons between scales. The search string used to build this landscape pairs the scale-model terminology with these specific matching parameters, which is why the corpus includes both process-engineering hardware claims and modeling software claims.
Who are the leading patent filers in scale up and scale down modeling?
The assignee ranking for this field includes only 12 companies, with the leader holding 12 records and the field thinning quickly to 5 at fifth place and 1 at tenth. That is a short ranked list rather than a broad competitive field, so a small number of filers account for most of the ranked activity. Recent-year momentum data shows a different picture again, with most of the historically ranked assignees showing zero filings in the latest year while one company accounts for that year’s activity.
Why do IPC class shares in this dataset add up to more than 100%?
Patent records are frequently classified under more than one IPC subclass because a single filing can describe a chemical process, a testing method and a data-processing step in the same document. In this corpus, B01J, G01N, G06F and C07K each cover a meaningful share of the 56 records, and those shares are calculated against the same fixed denominator of 56 records, not against each other. That is why they sum to well over 100% and should be read as coverage of the corpus, not as slices of a single pie.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Scale Up and Scale Down Models covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.