Intelligent Agents Find Meaning of Text

Our technology is proprietary. To our knowledge, we are among the first to offer an autonomic machine learning API. Unlike n-gram and word-bags, our technology detects the inherent semantic value of any string of byte-patterns (the computer science definition of words).

The new idea is that the system learns upon stimulation (like a neural net) while providing transparency and control to the developer.

Yes, the technology is currently used to find concept similarities in documents. Unlike other techniques, ai-one's approach can detect concepts within paragraphs. Moreover, it can find "ideas" within very sparse text. The solution is owned by our customers -- so the it would only disappear if all entities went out of business.

It is a general purpose technology -- much like a programming language or chipset. The use cases include any problem that requires machine learning of content. Current deployments of the technology include: mining social media feeds, forensics, legal compliance, electronic discovery (of legal documents and evidence), knowledge management, etc.

We typically do not tell what our customers are doing -- we license the technology so they can embed it within their solutions.