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Battery / fuel cells innovation and patent monitoring

Hot cause – accelerate energy storage technology development

  • Why do batteries and fuel cells improve more slowly than other technologies?
  • Batteries and fuel cells consist of several components that are manufactured by different organizations.

    Battery Components and Product Development Parameter Space

    With increasing energy density and performance, 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 reduces the risk of failed product launches.

Cool solutions for the energy storage community

  • Energy storage innovation reviews & triweekly patent updates

  • Every three weeks, we discuss why specific newly published inventions stand out because they could allow for breakthroughs in terms of performance, process efficiency / costs and safety.
  • Reviews contain visualizations of product development decisions by key commercial players, which are also covered in company chapters.

    Decision Tree – nano-Si (synthetic processes)

  • AI-supported patent monitoring & technical decision-making

  • Our AI-supported patent monitoring engine allows for ranking patents according to prospective commercial relevance in a certain vertical (such as solid-state Li-ion batteries).
  • Our subscriptions include Excel files with summarized patent families, which can be fed into LLMs to produce highly insightful technical decision-making support, ranging from benchmarking the cutting edge in your field (example) to defining the right product / process parameters and even coining inventions.
  • Excel files are structured for cross-company comparability, layered with a forward-looking SME (Subject Matter Expert) view, and shipped with a fully visible Al instruction sheet that the best LLMs can run end-to-end.
  • Trust layer. Excel files ship to you and run in your LLM / IT environment. Every prompt-engineering rule on the Al instruction sheet is dated and overrideable. >8k patent family rows are delivered with summaries produced from full patent PDFs via our proprietary Al methodology, with EPO and Google Patents links.
    Outline Excel files for improved technical decision-making with LLMs

  • The b-science.net team covers key capabilities:

  • Battery / EV product development and commercialization experience, as illustrated by granted patents and market introductions of new products.
  • Database / AI / IT development know-how that supports curation of a unique chronological dataset on the prospective commercial relevance of energy storage patents. This dataset in turn enables the provision of condensed, visualized and sufficiently granular information to decision makers.

  • An international user base

  • Our customers include companies of different size (startups to Fortune Global 500 enterprises), public research institutes and investors, based in America, Asia and Europe.
  • Since 2021, our subscribers have raised USD >1B in VC plus non-dilutive public funding, and launched new products with USD >1B order volume within the scope covered by their b-science.net premium subscription (according to public statements).

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