The company has developed sophisticated artificial intelligence systems that function as intelligent agents, capable of working across and synthesizing information from diverse data sources and applications. Their technology enables users to process and analyze multiple streams of information simultaneously, creating automated workflows that streamline complex tasks which previously required manual coordination across different platforms and data types.

To break this down further: The concept of “agentic systems” refers to AI that can act somewhat autonomously on behalf of users, making decisions and taking actions based on its understanding of the task at hand. By integrating with various data sources, these AI agents can access, process, and synthesize information from multiple places at once – imagine having a highly capable assistant that can simultaneously read through emails, documents, databases, and applications to help complete complex tasks.

The automation aspect is particularly significant because it transforms what would typically be a series of manual steps across different platforms into a seamless, coordinated process. For example, rather than having to manually extract data from one source, analyze it, then cross-reference it with another source, their system can perform these operations automatically and simultaneously, significantly reducing the time and effort required to complete complex analytical tasks.

The term “seamless analysis” suggests that their system can maintain context and understanding across different types of data and sources, creating a coherent analytical process despite the diversity of input sources. This is akin to having a single expert who thoroughly understands multiple specialized fields and can draw connections between them, rather than needing to consult several different experts separately.

Model ML can analyse Word,PDF,Excel and powerpoint documents, retrieving information at incredible accuracy. Model ML can join and transcribe calls and meetings just by syncing with your calendar. You can also query third party data vendors right within the Model ML and get access to real-time information from the web.