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Introduction to Model ML
Introduction to Model ML
Updated over 2 months ago

Understanding Model ML

In this short guide, we will cover:

  • Data: The types of data that the model can query

  • Analysis: The two distinct methods you can use to query within ModelML

  • Automations: The role of AI Automations & Templates in ModelML

The Four Pillars of Data

Model ML can access data from the following sources:

  1. Files: This includes personal files and shared files, such as PDFs, Word documents, PowerPoint presentations, and more. Support for Excel files is in the pipeline. This category also includes cloud integrations (one drive, sharepoint, dropbox etc…) should you wish to query information that comes from your cloud storage systems.

  2. Calls & Meetings: By syncing your calendar with our system, our AI transcriber can join your calls and meetings, taking care of transcribing the entire discussion.

  3. Data Providers: We provide live access to Crunchbase. Future updates will include support for Factset, Pitchbook, and Merger Market. This means that you can query this data from directly within the ModelML product in the same way you would on their dashboards, just with natural language. Instead of manual filtering or searching, you can, as an example, simply state your request as:

    1. "Give me a list of {desired information} from {specified data provider} using {desired filters}".

  4. Real-time Publicly Available Information: We have access to information as soon as it becomes available on Google.

You can conduct your research using any combination of these data sets, whether individually or in combination.

Approaches to Data Analysis

There are two ways you can interact with the data within ModelML:

  1. Threads: This is a chat-style interaction.

  2. Grid: This is a spreadsheet-style interaction.

AI Automations & Templates

ModelML allows you you to build out and save your AI automations and templates. In future, with no code or technical experience whatsoever, you will be able to build out your own AI agents and fine tuned models. Meaning you know that section from the CIM or IC Memo (and any other repeatable task) that is the same structure every time… yep, you will be able to automate that.

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