Meta Platforms is launching the Meta Enterprise Platform led by CJ Desai to sell enterprise AI services built around its Muse agents and related products. The plan specifies an initial focus on adopting Muse across enterprises and developers, while Muse Spark 1.3 was reported to use about 25% fewer tokens for coding tasks. Meta will package its AI models and Muse API into deployable enterprise products and add security features including Muse Confidential VM later this year.
Meta announced that it is building Meta Enterprise Platform and hired MongoDB CEO CJ Desai to lead it, aiming to package its AI models and agents for business deployment. The launch provided no enterprise pricing or general availability dates, though developers can already use Muse Code in beta since August and Meta began charging for Muse Spark in July at $1.25 per million input tokens and $4.25 per million output tokens. Meta’s enterprise stack description omitted Llama, leaving developers to wait for clarification on whether Llama will be included and what that means for teams currently running it in production.
Meta launched the Meta Enterprise Platform to expand its AI offerings for businesses and corporate customers, led by Chirantan “CJ” Desai, MongoDB’s CEO.
A podcast episode says facial recognition is being used widely and that viral accounts can identify people from video clips and post names and other personal details publicly. The discussion points to Meta’s Ray-Ban glasses as a near-term place where facial recognition is expected to appear. As a result, the episode argues that privacy is shrinking because more people can dox others by matching faces to identities.
Meta announced Meta Enterprise Platform, a new business unit that will sell its AI models, agents, and infrastructure as a bundled offering to businesses and developers. Meta said it plans capital expenditures of $130 billion to $145 billion this year, largely for AI data centers. This changes Meta from building that compute only for its own services into monetizing it through subscriptions, API fees, and future compute contracts aimed at competing with cloud providers and neoclouds.
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