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AI data labeler Handshake buys Cleanlab, an acquisition target of multipleothers
AI data labeling startup Handshake has acquired Cleanlab to enhance its data quality through an acqui-hire of nine key employees, including co-founders with expertise in data auditing. This strategic move follows Cleanlab's $30 million investor backing and aims to improve data for foundational AI model companies, leveraging a strong in-house research team to advance data labeling quality.
Key points
- Handshake acquired Cleanlab, focusing on improving data quality for AI through Cleanlab's expertise.
- The acquisition was primarily an acqui-hire, adding nine Cleanlab employees to Handshake's team.
- Cleanlab co-founders have advanced degrees from MIT and have been recognized for their innovative data labeling solutions.
- Other companies showed interest in acquiring Cleanlab, but they selected Handshake due to its platform being used by competitors to source data labeling talent.
- Handshake's previous valuation was $3.3 billion, and it is projected to reach high hundreds of millions in annual revenue.
Why it matters
- The deal highlights the increasing importance of data quality in AI development, a critical factor as AI technologies become more widespread.
- It reflects a trend in tech acquisitions focusing on talent and niche technology to enhance existing services, common in the software industry.
- This acquisition parallels the growing investment into AI startups and data management solutions that has surged since 2020.
Handshake's acquisition of Cleanlab signals a strategic focus on enhancing data quality in AI, a crucial factor for ongoing success in the rapidly evolving tech landscape. This reflects broader trends in talent-driven acquisitions within the AI sector.