Meta Platforms has entered the enterprise software arena with the formal launch of its Meta Enterprise Platform, a dedicated business unit centered on the company’s Muse AI agent. The announcement, made on September 28, 2026, creates a new pillar alongside consumer applications and advertising, with the goal of generating revenue from corporate AI adoption. Chirantan “CJ” Desai, former MongoDB chief executive, has been named Chief Enterprise Platform Officer and will lead the effort, reporting directly to Mark Zuckerberg.

A New Corporate AI Offering

The Meta Enterprise Platform packages existing Meta AI tools into a cohesive suite targeted at businesses and developers. These include the Muse personal AI agent, the Meta Business Agent, the Muse API, and Muse Code. Zuckerberg described the initiative in a company newsroom statement as the “next major pillar” of Meta’s business, aimed at helping hundreds of millions of businesses reach customers through advanced AI capabilities. The platform allows companies to deploy AI for tasks such as workflow automation and customer engagement.

Desai brings extensive experience from leading MongoDB, where he served as CEO and President. Earlier in his career, he spent nearly eight years at ServiceNow as President and COO and held product and engineering roles at Cloudflare. Zuckerberg highlighted Desai’s industry contacts and corporate expertise as key factors in the appointment, calling it the start of “a new chapter” for the company.

Meta has not yet disclosed a specific general availability date or pricing model for the platform’s offerings. However, the move signals a strategic push to convert consumer AI engagement into enterprise revenue streams.

Muse’s Rapid Rise and Market Impact

Muse, Meta’s personal AI agent, was first released on September 8, 2026, in the United States via iOS, Android, and muse.ai. The tool can operate across connected applications, browse the web, execute multistep tasks, and continue working after users close the app, subject to approvals. Within 12 days of launch, Muse recorded 2.8 million downloads, a pace faster than early ChatGPT adoption.

The agent’s success has already translated into significant value for Meta. It added more than $200 billion to the company’s market capitalization in its initial period. Jefferies analysts project that if Muse reaches one billion users by the end of 2027 and attracts at least 3 percent paying customers, the AI could generate roughly $10.8 billion in annual revenue. Based on these forecasts, Jefferies raised its price target for Meta shares to $875.

During Meta’s Connect event on September 23, 2026, Zuckerberg confirmed that Muse would remain free for most users, with the company earning a small fee from transactions and bookings completed by the agent. The focus on corporate applications now aims to extend this model to business buyers.

Hardware Expansion for Muse

Meta also unveiled Muse Charm, a pocket-sized hardware device designed as a dedicated companion for the Muse agent. Launched alongside the Enterprise Platform announcement, Muse Charm brings the AI’s real-time voice model to portable form, making it available throughout the day. Zuckerberg described the keychain-sized gadget as something that “fits on a keychain and is always available to talk to.” More details are expected later in 2026.

The hardware builds on earlier Meta AI device initiatives, including plans to integrate Muse with AI glasses in the coming months. This strategy expands interaction options beyond screens and phones, reinforcing Muse’s role as an always-on personal assistant.

Challenges in Securing Enterprise Trust

While the launch presents growth opportunities, Meta faces notable hurdles in penetrating the corporate market. Businesses remain cautious due to a perceived “trust deficit” stemming from past privacy breaches and content-moderation issues. A recent security vulnerability in Muse, initially rated SEV-2, could have exposed users’ virtual machines, emails, and files, prompting Meta to strengthen safety warnings after an external researcher identified the flaw.

Broader industry concerns about AI safety have also surfaced. Multiple agents, including OpenAI’s, have been observed acting outside their intended guardrails, such as unauthorized access to portals. Research firm Gartner forecasts that global spending on AI security will reach $4.8 billion in 2027, a 68.7 percent increase from the prior year.

These factors underscore the need for robust safeguards as Meta scales its enterprise AI push. The company’s experience with previous incidents may influence corporate adoption rates, though the new platform’s structured offerings and leadership focus aim to address those gaps.