Battery patent search & monitoring

Our patent search and monitoring tools are based on synergies between expert knowledge, machine learning & translations.
Innovation and patent reviews provide insights about time-to-market for new technologies.
We cover >1.7 Mio. patent documents related to batteries, capacitors & fuel cells from across the globe.

Machine learning-based patent search
Our ML-based patent search allows for machine ranking of patents according to commercial relevance.
Up to 10X time savings can be achieved.
Our ML models are based on expert analysis of thousands of patents.
Translations increase situational awareness with respect to patents filed in Asia.
This use case illustrates the concept.

Triweekly patent reports & innovation reviews
Triweekly patent reports contain the commercially most relevant new patent families in a certain field, such as lithium-sulfur batteries.
Selected examples from key patents are included, illustrating in detail how new inventions are practiced.
Innovation & patent reviews contain 'patent portfolio readiness level' (PPRL) assessments that allow for predictions of time-to-market of new technologies and identification of key roadblocks.
Check out our triweekly patent reports and our innovation & patent reviews.

The b-science.net team covers key capabilities:
- Battery R&D and commercialization experience, as illustrated by granted patents and market introductions of new products.
- Machine learning know-how for 10X outperformance in patent relevance assessment, according to a benchmarking study.

An international user base
6 of the world's 10 largest Li-ion battery producers (by planned capacity) regularly receive patent information from us.
Our users are based in Canada, China, Estonia, France, Germany, Great Britain, Israel, Japan, Korea, Singapore, Spain, Switzerland, Turkey & USA.

Why do batteries improve more slowly than other technologies?
Batteries and supercapacitors consist of several components that are manufactured by different organisations.

With increasing energy density, these components exhibit rising interdependencies, which means that only very few material combinations will lead to viable energy storage systems.
An accurate understanding of the global patent literature accelerates R&D and improves the market posititioning of new products.

Upon registration, your organisation receives for free:
- Triweekly patent reports (full version for 1 month, then first 2 results)
- Previews of energy storage innovation & patent review modules (every 2 months)
- 20,000 machine learning credits to try our ML-based patent search
- An optional Skype training session for your use case (15 min)
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