When qualifying a given investment firm, the most important consideration is often any prior investments they have made in your specific operating space.Documentation Index
Fetch the complete documentation index at: https://docs.metal.so/llms.txt
Use this file to discover all available pages before exploring further.
Similar Investments
On any given investor profile, users can navigate to Intelligence > Investments > Similar Investments to view the most similar prior investments that the investor had made. The below visual shows the range of possibilities:Scenario 1 -- Invested in Direct Competitors
Investor has invested in direct competitors, which are defined as companies solving the same problem for the same customers as your Company.
Scenario 2 -- Invested in Similar Companies
Investor has invested in one or similar companies that are adjacent or similar to your solution. The solution may not be identical to that of your Company, but it is directionally similar.
Scenario 3 -- Invested in Adjacent Spaces
Investor has invested in adjacent spaces, but has not yet invested in your specific category. As an example, if you are building a product focused on AI for Customer Success, perhaps the investor has invested in AI for Sales Outbound.
Investing Thesis
On any given investor profile, users can navigate to Intelligence > Patterns > Thesis to view the specific investing theses for the investor that are most relevant or applicable to your Company. For a given thesis that is relevant to your Company, you can click on the “View Details” button to view all the specific companies that the investor has backed within that thesis. Hovering on a given company shows a brief description of what the company does. Venture investors often tend to invest in patterns — if they believe in a specific market opportunity (I.e. P2P payments), they often fund multiple companies within that thesis. Let’s look at a specific investing thesis:AI-Driven Content Creation and Synthetic Media
Thesis Description: AI-powered generative models (text, image, video) are revolutionising creative industries, enabling mass personalisation and automating labor-intensive content tasks. Investors believe these platforms can disrupt entertainment, marketing, and media production.
