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Prentis: Reid Hoffman and Mark Pincus Launch an AI Lab and Seek $100M

Prentis, a new AI lab founded by Reid Hoffman (LinkedIn) and Mark Pincus (Zynga), is in talks to raise $100M. The startup's bet: automating routine computer tasks will soon overtake code writing as the main use case for AI. The company's valuation and investors have not yet been disclosed.

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Prentis: Reid Hoffman and Mark Pincus Launch an AI Lab and Seek $100M
Source: TechCrunch. Collage: Hamidun News.
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Prentis, a new AI lab co-founded by Reid Hoffman and Mark Pincus, is in talks to raise $100M as of July 24, 2026, TechCrunch reports. The startup is betting that automating routine computer tasks will soon overtake code writing as the largest use case for artificial intelligence.

Who Is Behind Prentis

Prentis was founded by two Silicon Valley veterans, Reid Hoffman and Mark Pincus. Hoffman created LinkedIn in 2003 (Microsoft bought the social network for $26B in 2016), remains a partner at Greylock, was an early investor in OpenAI, and in 2022 co-founded the AI startup Inflection AI. Pincus founded the gaming giant Zynga in 2007 and took it public in 2011. Hoffman also sat on OpenAI's board until 2023, so a bet on applied AI continues years of experience for him.

  • Name: Prentis, a new AI lab (a "neolab")
  • Co-founders: Reid Hoffman (LinkedIn, Inflection AI) and Mark Pincus (Zynga)
  • Round: talks to raise $100M, according to TechCrunch
  • Date: July 24, 2026
  • Focus: automating routine work on a computer, not code generation

Why Not Bet on Coding

Prentis believes that automating everyday computer operations will become a more mainstream use of AI than today's fashionable AI coding. As of mid-2026, tools for programmers such as GitHub Copilot, Cursor and Claude Code remain the most visible and commercially successful niche of generative AI. The Prentis team, however, calls that niche narrow next to the billions of ordinary office users.

The neolab is betting that automating routine computer tasks will soon

overtake code writing as the largest use case for AI.

— TechCrunch's wording, July 24, 2026

This refers to the class of "computer-use agents": systems that see the screen, click with a mouse, fill in forms and carry out multistep tasks in place of a human. Such agents promise to reach well beyond the developer niche to the broadest audience of all: accountants, managers and support specialists who spend their entire day in a browser and office software. OpenAI with its Operator mode, Anthropic with its Computer Use feature, and Google already compete for this market, and this is where Prentis is directing its $100M.

For now, computer-use agents work unreliably: they stumble on CAPTCHAs, payments and complex interfaces. Prentis plans to build its research program on exactly this immature but potentially huge territory.

How Much Is It Raising, and What Is a Neolab

According to TechCrunch, as of July 24, 2026, Prentis is in talks to raise a $100M round. The company's valuation, lead investor and the stage of the deal have not been publicly disclosed; only the target amount and the founders' names are known.

TechCrunch uses the term "neolab" for a new wave of compact AI labs that do not build a product around a chatbot but declare a fundamental bet from the start and raise large rounds for research. A $100M raise at an early stage signals that kind of ambition: that is what a "model factory" with expensive researchers and compute needs, not an app. For comparison, product-focused AI startups at the seed stage typically raise single-digit or low double-digit millions of dollars, so Prentis's ask is an order of magnitude higher right away.

What This Means

Prentis's emergence shows where venture interest is shifting in 2026: from narrow AI coding toward general-purpose agents that automate any work on a computer. The names Hoffman and Pincus, together with an ask of $100M from the outset, mean that the new neolabs intend to compete with the big players not with a single product but with a bet on a change in the main use case for AI. If Prentis's thesis is right, the next wave of AI products will be measured not in lines of code but in the number of routine operations lifted off ordinary employees.

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