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Metal

AI-powered investment intelligence & automation

Overview

Metal.ai offers an AI-powered platform that unifies a firm’s internal data (investment memos, board decks, CRM data, financials) with external market intelligence into a single, queryable intelligence layer for investment teams. It ingests and structures large financial documents and uses natural language queries, plus features like AI-powered research, automated report generation, opportunity scoring, and diligence support; a Deep Research engine further breaks complex questions into sequential subtasks for analyst-grade outputs, including CIM extraction and SWOT analyses. The service distinguishes itself through its deep integration of internal and external data, a focus on production-grade AI with secure, governed data handling (SOC 2, encryption), and hands-on implementation as a partner. Metal’s goal is to speed up investment workflows, enhance deal flow and due diligence, and democratize access to institutional knowledge within financial firms.

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About Metal

Simplify's Rating
Why Metal is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareAI & Machine LearningFinancial Services

Company Size

501-1,000

Company Stage

Early VC

Total Funding

$7.6M

Headquarters

New York City, New York

Founded

2023

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What believers are saying

  • Metal launched Investor Relations and Data Rooms in October-November 2026.
  • The company published customer data after a year of usage, signaling real deployment.
  • Berkshire Partners and other named funds provide credibility for enterprise sales in 2026.

What critics are saying

  • ChatGPT plus SharePoint and generic copilots compress Metal’s premium pricing by 2027.
  • Metal’s value depends on deep custom onboarding; slow adoption stalls renewals at large funds.
  • If private-equity teams standardize on Microsoft, PitchBook, or DealCloud, Metal loses its wedge.

What makes Metal unique

  • Metal unifies private-market data, workflows, and institutional memory into one system.
  • Berkshire Partners praised Metal’s firm-wide adoption and partnership-driven implementation in 2026.
  • Metal integrates PitchBook, Salesforce, Affinity, Outlook, and DealCloud-style workflows.

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Funding

Total Funding

$7.6M

Above

Industry Average

Funded Over

3 Rounds

Notable Investors:
Early VC funding comparison data is currently unavailable. We're working to provide this information soon!
Early VC Funding Comparison Coming Soon

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Company Equity

Growth & Insights and Company News

6 month growth

0%

1 year growth

0%

2 year growth

-4%
Fintech Sandbox
Oct 29th, 2026
Metal - Fintech Sandbox

Metal is applied AI for PE & VC. We focus on deal and portfolio teams, accelerating their workflows and surfacing insights in private company data, helping them make better investment decisions.

FinSMEs
Sep 9th, 2025
Metal Raises $5M for AI Platform

Metal, a NYC-based AI platform provider for private market investors, raised $5 million in funding led by Base10 Partners. The funds will be used to expand operations and development efforts. Metal collaborates with firms like Berkshire Partners, Clearlake Capital, and Blue Wolf Capital to enhance investment insights through AI-powered research and data unification.

PYMNTS
May 28th, 2025
The M&A Files: You Just Had An Acquisition — Now What?

When a company buys another business, they buy the whole business. That acquisition includes the back-office tech stack, the enterprise resource planning (ERP) and treasury management system (TMS), as well as the organizational history of workflows, processes and even internal knowledge. This means, for CFOs and treasury executives, that the real work is just beginning. [] The post The MA Files: You Just Had an Acquisition — Now What? appeared first on PYMNTS.com.

PYMNTS
Mar 31st, 2024
At&T: Info From 73 Million Accounts Hijacked In Data Breach

AT&T says personal data of several million customers was leaked onto the dark web.“Based on our preliminary analysis, the data set appears to be from 2019 or earlier, impacting approximately 7.6 million current AT&T account holders and 65.4 million former account holders,” the company wrote on its website Saturday (March 30). “Currently, AT&T does not have evidence of unauthorized access to its systems resulting in theft of the data set.”The telecom giant said its investigation found that “AT&T data-specific fields” were part of the data set released to the dark web, though it’s not clear whether those fields originated from the company or one of its vendors.The data includes customers’ Social Security numbers, names, email and mailing addresses, phone numbers, dates of birth, AT&T account numbers and passcodes.The breach comes a little more than a month after a widespread service outage that impacted AT&T’s network and drew the attention of both the FBI and Department of Homeland Security.The outage affected customers in several major metro areas, including New York, Houston, Atlanta, Miami, Chicago and Dallas. Reports around the same time said that three other mobile carriers — Verizon, T-Mobile and UScellular — also experienced outages, but these disruptions were more limited than that of AT&T.Elsewhere in the data security space, PYMNTS discussed the topic recently with Taylor Lowe, CEO and co-founder of AI infrastructure platform Metal, told PYMNTS.“For the last 10 years, the financial sector alone has invested countless sums into data science and building out their data intelligence departments,” he said.“Not only is a lot of the infrastructure in place throughout these organizations, but the incentives are there: The years of operating with a data-first mindset have paid off, and firms see how valuable it is,” Lowe added. “Technologies like AI have just added more fuel to that fire and accelerated the insights you can get out of your data.”But, that report continued, this explosion in data has led to major visibility challenges for security teams, especially considering the gap between threat detection, data discovery and classification.Research from cybersecurity firm Rubrik found that the vast majority of businesses (98%) are wrestling with data visibility issues because of complex technology stacks, creating vulnerabilities that adversaries can exploit

PYMNTS
Mar 29th, 2024
Platforms Enhance Security Teams’ Data Visibility, Threat Detection Capabilities

The widespread integration of artificial intelligence (AI) and the Internet of Things (IoT) has sparked a surge in data, driving notable shifts in information management strategies. “For the last 10 years, the financial sector alone has invested countless sums into data science and building out their data intelligence departments,” Taylor Lowe, CEO and co-founder of AI infrastructure platform Metal, told PYMNTS. “Not only is a lot of the infrastructure in place throughout these organizations, but the incentives are there: the years of operating with a data-first mindset have paid off, and firms see how valuable it is. Technologies like AI have just added more fuel to that fire and accelerated the insights you can get out of your data,” Lowe said

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