IPVectors.com Information

IPVectors delivers AI-powered patent analytics that attorneys, investors, and portfolio managers can trust — because our architecture is designed from the ground up to control hallucination risk and ground every output in authenticated patent records, not open-web retrieval or unconstrained LLM generation. The patent system has structural limitations. USPTO examiners average ~20 hours per application, making it difficult to surface semantically related disclosures across adjacent CPC subclasses. Sophisticated filers exploit this through classification fragmentation, entity structuring, and terminology drift — allowing closely related inventions to appear novel to traditional keyword-based tools. IPVectors solves this at the architectural level. Our BERT-first semantic scoring engine analyzes 4,200+ CPC-adjacent disclosures per claim set, simulating what an examiner could uncover with effectively unlimited time. Crucially, similarity scoring occurs before any generative layer, ensuring that every conclusion is grounded in real, verifiable patent data. No synthetic citations No fabricated overlap Every output traceable to a specific disclosure While all AI outputs should be reviewed, our system is designed to minimize verification burden by maximizing traceability and evidentiary grounding. The result is patent intelligence built for high-stakes decisions, including: Prosecution strategy Litigation and IPR defense M&A diligence Licensing and valuation Defensive patent aggregation IPVectors was founded by Jon Karlin, former Microsoft Director and serial entrepreneur with firsthand experience filing patents and defending IP in federal court, and Bharadwaj Ramanna, a seasoned software engineer with nearly two decades of enterprise technology leadership. Learn more: www.ipvectors.com IPVectors, Inc. is not a law firm and does not provide legal advice, nor is it registered to practice before the USPTO.