90% of the world’s data is unstructured... A big part of why data remains "unstructured" is the nature of data itself. Data reflects our ever-changing environment where very few things stay static for long enough to be useful. Harnessing that 90% requires a new approach, where we recognize that when our individual or organizational view of data is static, we are being static. And of course, when our views are static, learning is limited.

Traditional analytics force you to remain firmly stuck in the past with two options: arduous manual labelling or pre-trained models that don't fit your needs. Intel-Flow turns raw, multi-modal feeds into live knowledge without prior training or labelled corpora. Our patent-pending Online Intelligence engine performs continuous, unsupervised sense-making in-stream. Its unique approach, avoids complex up-front training and means value added almost from the moment of launch.

Intel-Flow does not suffer from the limitations of generative AI. Records are processed in milli-seconds not seconds, making it possible for real-time responses. There is not need to decide ahead of time what aspects of interest should be included in prompts. The data content should drive understanding and the results should be available to allow for direct action. Modest hardware requirements make Intel-Flow cost effective, scaleable, and flexible enough for on-premise deployment.

Unlike generative AI, Intel-Flow exposes an editable, symbolic layer. Subject matter experts can inspect, correct or enrich abstractions in real time, producing an auditable trail that satisfies both regulators and peer reviewers. Intel-Flow aligns with NSF "Trustworthy AI" and European Commission "Human-centric AI" calls.

Intel-Flow lives and breathes with your data.