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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.

U.S. Labor Department Investigates Scale AI for Fair Labor Practices

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The U.S. Department of Labor is investigating Scale AI, a data labeling startup backed by major tech companies including Nvidia, Amazon, and Meta, for potential violations of the Fair Labor Standards Act. The investigation, which began nearly a year ago under the Biden administration, is focused on Scale AI’s compliance with fair pay practices and working conditions.

Scale AI, based in California, provides large volumes of accurately labeled data crucial for training AI tools such as OpenAI’s ChatGPT. The company also offers a platform for researchers to share AI-related information, with contributors from over 9,000 cities and towns.

A spokesperson for Scale AI emphasized that the company has worked closely with the Labor Department over the past year, explaining its business model and the emerging nature of the AI industry. The startup assured that feedback from its contributors has been largely positive, and it has dedicated teams to ensure fair compensation and support for workers. Nearly all payments to contributors are made on time, and the company resolves 90% of payment-related inquiries within three days.

Scale AI, which was founded in 2016, was valued at $14 billion in a recent funding round. Its client base includes AI firms like OpenAI and Cohere, as well as major corporations such as Microsoft and Morgan Stanley.