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News · 2026-11-13

Norwest raises record $4 billion to expand AI investments

Dataist Dataist

Norwest has raised $4 billion for its 18th fund, the largest in the firm’s 65-year history. The money will go to startups across industries and countries, including the US, India and Israel, with a particular focus on AI. The firm plans to back projects in healthcare, consumer markets and technology, while expanding its investments in physical AI, voice technologies, cybersecurity with AI agents and aerospace.

Cover: Norwest raises record $4 billion to expand AI investments

What kinds of projects is Norwest targeting?

Norwest is wholly owned by Wells Fargo. Its portfolio companies include Plaid, Spotify, Uber and Vuori. With its new fund, the firm plans to invest in AI-based products and services for key industries.

Norwest senior managing partner Jeff Crowe explained the breadth of the firm’s plans by saying that AI’s impact is not limited to any particular industry, country or application. Like digital transformation, he said, AI could affect many layers of enterprise, consumer and healthcare decision-making — from networking technologies to enterprise IT systems and applications. The shift to an AI-agent environment, Crowe noted, entails broad use of AI in products and services that solve practical problems.

The firm is particularly interested in early-stage startups developing:

applications and infrastructure designed for AI from the outset;
physical AI solutions;
specialized models for specific industries;
cybersecurity products.

Examples of investments and the fund’s scale

Norwest’s recent investments reflect this strategy. The firm invested in Coval, which develops tools for testing and evaluating AI agents, and Generalist AI, a startup that has created foundational AI models for robots.

Norwest’s previous, 17th fund, worth $3 billion, closed in 2024. Since launching it, the firm has made more than 87 investments.

Dataist’s take: The new fund shows that Norwest intends to spread its AI investments across industries and fields, from enterprise applications to robotics. The firm is not limiting its strategy to one type of model or one market, so results will depend on which startups can turn these developments into products that people want.

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