Patenti provides AI-powered patent analytics that help organizations assess patent value, standards relevance, and commercial potential. The platform supports portfolio strategy, licensing, and IP-backed financing by connecting patent claims to products and technical features. It serves corporate IP teams seeking data-driven intelligence for valuation and commercialization decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to understand the true value and commercial relevance of their patent portfolios. Traditional patent analysis focuses on prior art and legal status, leaving IP teams without clear insights into which patents matter for licensing, standards compliance, product coverage, or investment decisions.
Solution
Patenti applies artificial intelligence to patent valuation, standards intelligence, and product-to-patent analysis, helping organizations understand not only which patents matter, but why they matter. The platform analyzes patents across technical standards, products, and technology ecosystems, enabling users to assess individual patents and entire portfolios for value and commercial potential. By connecting patent claims with products, technical features, and publicly available implementation information, Patenti supports portfolio strategy, licensing, commercialization, technology transfer, and IP-backed financing decisions.
Target Audience
Primary customers are corporate IP teams, patent attorneys, and technology executives at companies that need to evaluate patent value for licensing negotiations, portfolio strategy, or IP-backed financing.
Features
- AI-driven patent valuation models that assess individual patents and portfolios for commercial potential
- Standards intelligence capabilities that map patents to relevant technical standards and ecosystems
- Product-to-patent mapping that connects patent claims with products, technical features, and publicly available implementation data
- Portfolio-level analytics designed for licensing, investment, and technology transfer decisions