Metal

A closer look at Metal

Metal is an AI context platform for private capital: it reads a firm's files, CRM, email and data rooms, maps the argument, evidence and deal-killer around each specific deal, and makes that judgement available in every AI tool the firm uses, through MCP connections and an API, with deal teams, fund and portfolio views.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Metal

• Private capital firms whose deal knowledge sits across files, CRM, email and data rooms, each written its own way.
• Deal teams that need the argument, evidence and timeline around a specific deal, not just a connected file search.
• Firms that want their judgement available inside Claude, ChatGPT, Gemini and their own agents through MCP and API access.

When to choose something else

• Firms that expect a self-serve price list, since the homepage centres on booking a demo and the guessed pricing path returns a page-not-found page.
• Teams that want Metal to replace deal judgement, since the product is presented as making a firm's judgement available in AI tools, with deal teams still deciding.
• Firms outside private capital, since the product, solutions and examples are built for private equity and private credit.

A practical starting workflow

1. Connect Metal to the firm's files, CRM, email and data rooms.
2. Let it map the argument, evidence and deal-killer around each deal into a context graph.
3. Open the deal record in an AI tool or agent and follow the source path behind a figure.

Check before committing

• Homepage figures, such as ARR bridges and retention numbers, are shown inside a sample deal record and must not be quoted as a customer's real financials.
• The guessed pricing path returns a page-not-found page, so no plan or price is recorded here.

Common questions

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