Science Counter Inc holds 20 issued US AI patents and 2 major pending families โ covering knowledge processing, artificial intelligence, vector search, autonomous systems, and photonic sensing. Priority dating to November 10, 2009.
The industry arrived at transformer attention in 2017, word embeddings in 2013, and vector search in the early 2020s. Science Counter Inc derived and protected the foundational mathematics analytically in 2009.
AIT โ the Science Counter Analytical Intelligence Theory โ covers foundational methods across multiple industries from a single mathematical framework.
Transformer attention, word embeddings, and sequential prediction as specific instances of AIT. Priority 2009 โ four years before word2vec, eight years before the transformer paper.
Coverage details โ Vector Search & RAGCOP-based retrieval with the theoretically highest achievable relevance. Covers every RAG pipeline, semantic search engine, and vector database.
Coverage details โ Autonomous SystemsSPM(ฯ) and ISS components covering autonomous vehicles, robotics, drones, and intelligent sensing systems.
Coverage details โ LiDAR & PhotonicsSpecific photonic sensing architectures and spatial intelligence methods. Issued patents include specific LiDAR system claims.
Coverage details โScience Counter Inc approaches licensing as a commercial conversation, not a legal threat. The technology is real. The platform is deployed. The prior art record is clear.
We are not asking companies to stop what they are doing. We are inviting them to do it on a licensed basis โ with the benefit of access to the full AIT framework, the technical documentation, and the ongoing research of Science Counter Inc.
All licensing discussions begin with a confidential technical briefing. NDA required for full portfolio access and data room.
Request a technical briefing โPriority date
November 10, 2009
Active AI patents
20 issued US patents
Pending families
2 major families โ defining intelligent machines and autonomous intelligent beings
Platform
ATTVC โ the working demonstration of the portfolio. attvc.com โ
If you are building systems that discover, associate, or predict from knowledge structures โ we should talk.