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Meta to Acquire 49% Stake in Scale AI for Nearly $15 Billion, Reports Say

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Meta Platforms is reportedly set to purchase a 49% stake in AI data-labeling startup Scale AI for approximately $14.8 billion, according to The Information. The deal, which remains unfinalized, highlights Meta’s intensified efforts to strengthen its artificial intelligence capabilities amid mounting competition in the AI race.

Founded in 2016, Scale AI specializes in providing large volumes of labeled and curated training data essential for developing advanced AI tools, including those powering models like OpenAI’s ChatGPT. Scale AI’s investors, including Accel, Index Ventures, Founders Fund, and Greenoaks, are expected to benefit significantly from the deal.

Under the agreement, Scale AI CEO Alexandr Wang is expected to join Meta in a leadership role, heading a new “superintelligence” lab within the company. This move aligns with Meta CEO Mark Zuckerberg’s push to recruit top AI talent and accelerate innovation, especially after Meta’s recent Llama 4 models underperformed relative to expectations.

Meta’s ambitious plans include the forthcoming release of its major AI model, dubbed “Behemoth,” which has faced delays due to performance concerns, as reported by the Wall Street Journal. The company is also navigating ongoing antitrust scrutiny related to past acquisitions like Instagram and WhatsApp.

Industry analysts note that the deal’s structure may be designed to minimize regulatory hurdles, addressing heightened scrutiny of large tech mergers. Scale AI, valued at $13.8 billion in a recent funding round, reported $870 million in revenue in 2024 and forecasts over $2 billion in 2025. The company ended last year with more than $900 million in cash reserves.

Grupo Werthein Launches $40 Million Generative AI Company ‘Illumia’ to Enhance Humanized Customer Interaction

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Grupo Werthein, the Argentina-based investment conglomerate, has launched a new generative AI company named Illumia, backed by an initial $40 million investment, the company announced on Wednesday. Illumia will focus on humanized AI solutions for sales, customer service, and business communication, blending multiple AI platforms to simulate human-like conversation.

“We aim to use generative artificial intelligence with digital assistants that can converse the same way humans can,” said Daniel Figueirido, CEO of Illumia, in a statement to Reuters.

The company’s AI service leverages existing AI tools and proprietary technologies to deliver solutions aimed at personalizing interactions between companies and their customers. It has already begun offering services to Werthein-controlled firms and third-party clients in Latin America.

Why It Matters

The investment signals a strategic push by Latin American firms to lead in AI personalization and customer engagement technologies, an area increasingly seen as critical for competitiveness in sectors such as telecom, media, and e-commerce.

“The key to the kingdom with this kind of investment is how do I combine each of these different platforms and technologies,” Figueirido said.

Illumia’s development comes at a time of both high enthusiasm and caution toward generative AI in the region. A recent Reuters study found that while 56% of Latin American respondents expressed excitement about AI, 50% voiced concerns over privacy and data confidentiality.

What’s Next

Figueirido envisions expanding Illumia’s reach beyond Latin America, scaling services across industries and geographies. While early clients have included firms within the Werthein portfolio — which includes DirecTV Latin America and Sky Brazil — the company is now positioning itself for regional and international growth.

Grupo Werthein’s move into AI reflects a broader trend among legacy conglomerates investing in next-gen technologies, with Illumia poised to play a leading role in AI-driven customer engagement and digital transformation in Latin America and beyond.

Jeff Bezos Leads $72M Investment in AI Data Firm Toloka to Fuel U.S. Expansion

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Jeff Bezos, through his personal firm Bezos Expeditions, is leading a $72 million funding round in Toloka, an AI data solutions company aiming to scale its global presence, particularly in the United States, Toloka told Reuters on Wednesday.

Toloka specializes in training and evaluating AI models using a global network of human experts and testers, providing high-quality data labeling and validation. The company is part of Nebius Group (NBIS.O), an AI infrastructure firm listed on Nasdaq and formerly affiliated with Russian tech giant Yandex.

The investment marks a significant milestone for CEO and founder Olga Megorskaya, who said the funding would accelerate product development by fostering collaboration between AI agents and human experts.

“There will always be the need for control, verification, and help from human experts to ensure that the result is actually of high quality,” she said.

Strategic Backing and Global Shift

The deal comes after Nebius successfully split from Yandex in a $5.4 billion exit from Russia, the largest corporate withdrawal since the 2022 Ukraine invasion. The restructuring allowed Nebius and Toloka to pursue Western capital without violating sanctions.

Other notable participants in the round include Mikhail Parakhin, CTO of Shopify, who will also serve as Toloka’s executive chairman. Parakhin emphasized the urgent global demand for trusted AI data solutions.

In late 2023, Nvidia invested in a $700 million private placement in Nebius, highlighting growing institutional interest in AI infrastructure and tools.

With this latest funding round:

  • Bezos Expeditions and other new investors gain equity

  • Nebius retains a majority economic stake, but gives up majority voting control, enabling Toloka to operate independently

  • A future funding round is anticipated, Megorskaya said

The investment underscores a broader trend of scaling AI companies focused on high-quality data pipelines, as tech giants like Amazon, Microsoft, and Anthropic increasingly rely on curated training datasets for safe and effective AI model development.