Use Cases

Use Case #1 - CTO of an Energy Storage Cell Manufacturer
A CTO of a cell manufacturer has subscribed to our premium subscription in order to:
- Use innovation & patent review modules to assess the innovation potential & focus of different industry players.
- Keep up to date every three weeks regarding new patents with high commercial potential.
- Benefit from 2-5 h credits in which a 'tutorial use case' is jointly processed.
- Make specific investigations with the ML-based patent search tool.
A generic example of a machine ranked company patent list can be found here.
Comment: "Your service allows for better assessments of the innovative potential of companies than classical industry reports."

Use Case #2 - Investigator in Academia or Industry
An associate professor from a leading university has subscribed to our service in order to:
- Keep up to date every three weeks regarding the most important new patents.
- Find potential collaborators with complementary activities.
- Make ML-based searches, ranked according to the machine learning model of interest.
A generic example of machine ranked search results can be found here.
Comment: "Usually, I do not check patents, but based on your reports, I realised several companies in my vicinity work on Li-sulfur batteries, which is very useful to find potential collaborators. You also provide meaningful information on industry research trends."

Use Case #3 - New Business Development Manager at an Industrial Materials Conglomerate
A New Business Development Manager ordered a tailored study to evaluate a potential strategic investment into an energy storage materials startup company.
Our study combined insights from an ML-based IP analysis with a broader identification of trends that could limit the long term competitive differentiation potential of the technology even if it is successfully commercialized.
References to public information sources (press releases, financial & trade journal articles) provided additional insight and verification of the IP-based findings.
Comment: "We have been very satisfied with your work."

Use Case #4 - Patent Lawyer at a Law Firm
A Patent Lawyer has placed orders for tailored machine learning models with which more than 100,000 patents were screened.
With this approach, it was possible to identify the 50-100 patents that were of most direct interest for a patent filing.
A traditional patent search with an established company had failed because it was not possible to accurately reflect the search request into a keyword-based query.
Comment: "We were very happy with your work. Here is another request."