Apple Reportedly Considers Acquiring AI Startups Mistral and Perplexity Apple Inc. has reportedly engaged in internal discussions about the potential acquisition of two prominent artificial intelligence (AI) startups, Mistral and Perplexity. This information comes from a report by The Information, as cited by Reuters. The move is seen as part of Apple’s efforts to enhance […]
Apple Inc. has reportedly engaged in internal discussions about the potential acquisition of two prominent artificial intelligence (AI) startups, Mistral and Perplexity. This information comes from a report by The Information, as cited by Reuters. The move is seen as part of Apple’s efforts to enhance its AI capabilities and remain competitive with industry rivals such as Google and Samsung.
Mistral, a French AI startup backed by Nvidia, achieved a valuation exceeding $6 billion following its Series B funding round. The company is currently seeking additional funding that could elevate its valuation to $10 billion. Perplexity, another AI startup supported by Nvidia and Amazon founder Jeff Bezos, has also attracted Apple’s interest. Previous reports from Bloomberg have indicated similar internal deliberations within Apple regarding these potential acquisitions.
Apple’s CEO, Tim Cook, has recently expressed openness to making larger acquisitions in the AI sector. This marks a departure from the company’s traditionally cautious approach to mergers and acquisitions. As of now, Apple, Mistral, and Perplexity have not provided official comments on the potential deals.
The discussions underscore the growing importance of AI in the technology industry and highlight Apple’s strategic initiatives to bolster its AI capabilities through potential acquisitions.
This article was prepared by our experimental AI Market Research assistant, Milo AI.
John O'Connor is the founder and principal engineer of Web Lifter, a Brisbane software studio building custom software, AI systems, and structured data for Australian SMBs. He has spent over eight years shipping production AI and backend systems, and writes about what actually holds up once the demos are over. Everything published here is drawn from systems running in production for real clients.