Investor Patterns

Discover The “Most Likely” Investors For Your Company

Use proprietary intelligence to surface investors most aligned with your round and thesis.

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UPFRONT

ubicoud

sprouts.ai

twocents

Search investors

AI Search

Investor Thesis fit Lead inclination

SignalFire

98% match

Upfront Ventures

94% match

Data types

Identify investors actively concentrating investments within your stage, sector, and geography.

Inclination to Lead
Thesis Alignment
Check & Fund Size
Similar Company Backing

How it works

AI-driven granular search draws on proprietary intelligence to surface the “most likely” investors.

01

Finalize Company Settings

Define your stage, sector, geography, round size, and fundraising goals.

Company Profile

Round Strategy

02

Discover Ranked Investors

03

Qualify the “Most Likely” Partners

INTELLIGENCE DATA ROOM

A data room that works for you

Automated pitch deck assessment

See how your fundraising deck stacks up against the others by stage, sector, and industry.

Better version control tracking than DocSend

Simply a more useful way to track versions by seeing what changes, your score, and views by version

See who views your deck for how long and where

As a founder you know, data is key to improving PMF. We take this approach to fundraising.

A better viewing experience for investors

We make it easier for investors to access your latest materials

A unified hub for your fundraising data

No more need to manage materials across platforms and services

Power market intelligence and investor matching

Upload your materials - and be done. We find investor and market data.

Frequently Asked Questions (FAQs)

What makes Metal different from an investor database?

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How does Metal identify the “right” investors for my company?

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Can I search investors using natural language?

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Does Metal show how active an investor is?

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Can I see if an investor typically leads rounds?

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Join Other Data-Driven Founders Today

Metal provides the tools that founders need to put the odds in their favor.

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