An Intellyx Brain Candy Brief
Jedify provides an AI-driven context layer that seamlessly incorporates both structured and unstructured data sources to support each customer’s unique data estates, context requirements, and agentic applications.
For structured data sources, Jedify automatically generates appropriate SQL statements. For unstructured data, the platform leverages its agents to build language models that it tailors to the customer’s data.
A Jedify engagement begins with a build phase, where the company works with its customers to incorporate initial data sources (including structured data as well as documents, collaboration tools, etc.) to build the initial context graph.
Over time, the platform refines this graph, both incorporating additional data sources, input from stakeholders, and agentic evaluations to build out the context layer while improving the accuracy of its results.
Jedify then surfaces intelligence across the entire context layer that organizations may have found difficult to discover or deal with previously, both via chat-based prompts as well as a sophisticated dashboard for direct interactions with Jedify’s agents and the diverse entities in the context layer.
Intellyx hot take: Context layer offerings that leverage context graphs to support AI capabilities are becoming increasingly common, but Jedify stands out for its ability to combine structured and unstructured data sources in a process it calls ‘semantic fusion.’
Intellyx cold take: The Jedify dashboard is both powerful and complicated. The company should offer simplified versions of its dashboard for different personas, especially nontechnical ones.
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