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Model ML

AI research workflows for financial professionals.

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Finance & LegalPaidWe checked the prices on modelml.com on 28 Sep 2026.

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What is Model ML?

AI research workflows for financial professionals.

Who is Model ML best for?

Model ML is best for investment banks, private equity funds and consultancies that want an AI agent to draft client decks and memos.

  • Investment banking teams

    It produces client-ready PowerPoint decks, Excel outputs, company profiles and tearsheets from inside the Office apps bankers already work in.

  • Private equity and credit diligence

    Document Review and Grids work through large sets of files and turn them into diligence materials and investment memos with citations back to the source.

  • Consulting and asset management

    Workflows, Chat and Notetaker handle research, meeting notes and repeat deliverables, connected to the firm's own internal and external data.

  • Firms with strict data rules

    It holds ISO 27001 and SOC 2 Type II, does not train on customer data, and can run in a single-tenant Azure environment or the firm's own cloud.

How much does Model ML cost?

Model ML does not publish prices: it is sold to firms through a demo request, with terms set for each engagement, and the maker states no free plan or trial.

Model ML shows no plans or prices and is not self-serve: every button leads to a demo form, and commercial terms are scoped to each firm. The maker mentions an Enterprise Plan for single sign-on and gives API access through a separate request form. Plans and current prices are on modelml.com.

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Questions about Model ML

What is Model ML?

AI research workflows for financial professionals.

Who is Model ML for?

Model ML is best for investment banks, private equity funds and consultancies that want an AI agent to draft client decks and memos.

Is Model ML free?

No. Model ML is a paid tool.

Where can I try Model ML?

On its official website, modelml.com.

Can Model ML run in our own cloud?

Yes. Model ML offers single-tenant Azure environments and deployment inside a customer's own cloud, supports SAML and OIDC single sign-on with MFA, and says customer data is never used to train its models.