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SaffronEnterprise™

Saffron’s software solutions leverage a highly flexible, machine-learning engine, and are developed, and deployed using a common architecture called SaffronEnterprise™.

The memory-based engine captures and stores associations using the same basic representations that form the core of human memory. It is based on a patented associative memory technology with a 100% Pure Java™ Application Programming Interface (API) that is easily embedded into existing applications and systems, empowering them with highly adaptive, intelligent functionality.

Unlike traditional neural networks and data mining, a memory-based engine supports agent-based learning. Agents that learn in the real world must be very quick to learn, sometimes with little data, incrementally case-by-case, and without parameter tweaking by a knowledge engineer. These agents learn by merely observing, as do humans. Importantly, the Saffron engine can handle many data types, including structured, semi-structured, and unstructured data.

Saffron’s core machine learning engine provides the data scaling and system response time that truly differentiates Saffron’s entire suite of products.

SaffronEnterprise™ development architecture includes a standard set of tools that enable Java developers to quickly and easily take their source data and integrate it into their application.

SaffronEnterprise™ allows applications to have fully supported multi-agent systems, which are required for enterprise scale deployment. It is based on an entity network system where each entity has its own memory agent. Each memory remembers all of the associations around all of its entity mentions, across all sources.

SaffronEnterprise™ allows a massive number of such agents to collaborate. Analogous to information sharing among human agents, these memories enable enhanced decision- making through the discovery of explicit and implicit links between entities. Each memory can associate millions of attributes with each other and there can be millions of Saffron memories.  This complexity, millions of attributes in millions of memories, is what sets Saffron apart – the ability to handle context at scale.

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