Isogriv provides a decision atlas powered by machine learning. Our deep learning engine is a combination of several data science tools that put precise probabilities on almost any binary catalyst. We quantify the risk associated with the massive data flow of legal and financial catalysts. We do not create content, we enhance existing content to make it more actionable. Currently, we have applied this engine to a very specific task, predicting if a patent would be invalidated if challenged either at PTAB or in an infringement lawsuit. The basis of our models is the replication and scaling of the litigation research process.
Total Funding: N/A
Funding Stage: Seed
Business Stage: Scaling Up
Market: B2B
Company Size: 1 to 25
Founded: 2020