Team Developed New Automated Patent Scoring Tools
The Red Cube Coders won second place for software that automates patent portfolio evaluation.
Updated on Sept. 28, 2026 in Remote Work
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The Red Cube Coders team placed second at the EPO CodeFest 2026, the competition's fourth edition, for developing automated scoring tools for patent evaluation. These tools aim to make the process of assessing patent portfolios more scalable and accessible for businesses.
Why it matters
The team created software that measures patent constraints and commercial viability, addressing the need for automated solutions in complex patent analysis. By quantifying these metrics, businesses can better understand the competitive scope of their intellectual property portfolios.
The Red Cube Coders team secured second place out of 23 total proposals submitted by participants from 12 countries during the fourth edition of the EPO CodeFest. The competition challenged developers to automate patent portfolio assessments.
The players
Red Cube Coders
An academic team from EPFL that focuses on applying language models to patent analysis.
EPO
The European Patent Office, the intergovernmental organization responsible for patent grants and examination standards.
The details
The team utilized language models to calculate a blocking score, which measures how significantly patent examination narrows the scope of subsequent filings. Additionally, they built a commercialization score by cross-referencing the IPRoduct database to estimate the probability that a patent protects a specific market product or process. This approach automates tasks that typically require intensive manual research.
Timeline
The fourth edition of the EPO CodeFest took place in 2026.
Market Landscape
The Red Cube Coders' success follows the pattern established by the EPO CodeFest series, which encourages the development of software solutions for patent evaluation. These efforts respond to the industry-wide challenge of managing and scaling complex intellectual property portfolios.
Operators managing large patent portfolios should monitor the emergence of automated tools that quantify commercialization risk and competitive blocking. These technologies may eventually shift internal intellectual property auditing from manual legal review toward data-driven portfolio management.
The takeaway
Automated scoring models are beginning to bridge the gap between abstract patent filings and their actual market utility. Businesses should track which IP metrics—such as commercialization probability—are becoming standard in these automated evaluations to better prioritize their own R&D spend.
Further reading
For additional context on digital transformation tools in specialized industries, visit the Remote Work section.
Source note: This article includes information reported by Swiss Federal Institute of Technology, Lausanne (EPFL).
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