United StatesManufacturing2026 – ongoingOwens Corning
Box AI knowledge base for historical research notebooks
Owens Corning used Box AI to search digitized laboratory notebooks
Problem
Engineers faced product-development questions that earlier experiments might already have answered. Historical notebooks and test results were difficult to search in physical archives.
Approach
The research team digitized handwritten notebooks and test results. It applied Box AI to the collection so engineers could ask about earlier experiments, including tests of material substitutions.
Results
No published figures
Takeaway
The searchable archive made past experiments available during current development work. No measured reduction in research time or spending was disclosed.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- IT and R&DInternal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Box described the digitization of Owens Corning's research records and their use in an AI knowledge base. Engineers used it to retrieve earlier experimental work; quantified savings were not provided.
Full details are in the original sources.