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Meta Enters Enterprise AI Market and Names Ex-MongoDB Head Chirantan Desai to Lead Unit

The tech giant plans to sell APIs, coding tools, and business agents based on its Muse models directly to commercial developers.

By The Company Wire3 min read
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Meta — Meta Enters Enterprise AI Market and Names Ex-MongoDB Head Chirantan Desai to Lead Unit
Meta — Meta Enters Enterprise AI Market and Names Ex-MongoDB Head Chirantan Desai to Lead Unit. Photo: The Register.

Meta is expanding beyond advertising and consumer social networks with the launch of the Meta Enterprise Platform, a commercial suite designed to sell artificial intelligence models, coding tools, and software agents directly to businesses, as reported by The Register (https://www.theregister.com/ai-and-ml/2026/09/29/zuckerberg-touts-enterprise-ai-push-because-meta-would-never-do-anything-to-damage-your-reputation/5299655).

The effort is built around Meta's Muse models and agent harnesses. In a Facebook post detailing the initiative, Meta Chief Executive Mark Zuckerberg outlined plans to open the company's internal software stack to corporate customers and software engineers.

"Initially, we will focus on bringing our full technology stack, including the Muse agent, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers to help them grow," Zuckerberg wrote.

To lead the new enterprise business, Meta hired Chirantan "CJ" Desai, who stepped down as chief executive officer of database maker MongoDB to accept the role. Desai is tasked with building a business-to-business footprint at a company whose previous major enterprise software venture, the 2016 launch of Facebook At Work, failed to gain significant commercial traction.

The launch positions Meta in direct competition for enterprise software and developer budgets with established cloud and business-software providers, including Microsoft, Amazon, and Google.

Meta's commercial business remains overwhelmingly reliant on advertising. The company generated $114.4 billion in ad revenue and $50.3 billion in operating profits across its non-virtual-reality businesses during the first half of 2026. While Meta already uses machine learning and language models internally to power ad recommendation systems, generate ad copy, and handle advertiser customer support inquiries, the new platform marks an attempt to monetize its AI infrastructure as standalone products.

Desai's group must also contend with customer trust hurdles as Meta pitches enterprise-grade stability. The company recently agreed to an $18 billion settlement over allegations related to addictive product mechanics affecting children's health, alongside long-standing scrutiny over past data handling practices, including the Cambridge Analytica scandal.

Sources

  1. The Register

Company: Meta

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The Company Wire

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