On the Metal platform, we observe a direct correlation between speed to close rounds and high usage of Richard AI. Founders engage with Richard AI to improve their pitch deck, to answer key questions, such as how much to raise, how to leverage the existing cap table for the next raise, or whether or not they should seek out a lead for the next round. On most questions, Richard AI is able to bring a level of rigor and empirical precision that up-levels the raise effort in significant ways. Some of the most common use cases for Richard AI include:
1

Round Coach

Trained on large amounts of industry data, Richard AI is particularly helpful with:
  • Mapping out valuation expectations for a given stage, geography and sector,
  • Improving round collateral (from pitch decks to data rooms and round memos),
  • Preparing for a meeting with a specific investor,
  • Learning how to learn from each investor call to iterate and improve.
2

Search and Intelligence

In a raise process, tailored intelligence on investors is often the most valuable currency. Some investors are way more likely to invest in a given Company than others. To support efforts on this front, Richard AI can:
  • Run detailed workflows to identify investors in similar companies,
  • Analyze how a given investor’s prior investing pattern fit with a given Company,
  • Identify investors that are most actively investing in a given semantic space.
3

Product Knowledge

In recent months, Metal’s product has expanded to include multiple sub-products, each with an entire set of advanced capabilities. Richard AI is trained to answer questions about the capabilities of Metal’s platform. Users no longer need to reach out for support when trying to figure out how to do X, or if the platform is capable of Y.
With the above capabilities, Richard AI is now central to how founders engage with and get value from Metal.