Vivold Consulting

Apple compraría Perplexity AI para dar un salto de calidad

Key Insights

Apple está considerando adquirir la startup de inteligencia artificial Perplexity, cuyo motor de búsqueda y chatbot basado en IA son considerados alternativas destacadas a ChatGPT, con unos 15 millones de usuarios.

Stay Updated

Get the latest insights delivered to your inbox

Apple está considerando adquirir la startup de inteligencia artificial Perplexity, cuyo motor de búsqueda y chatbot basado en IA son considerados alternativas destacadas a ChatGPT, con unos 15 millones de usuarios. Según Bloomberg, ejecutivos de Apple, incluyendo a Adrian Perica y Eddy Cue, han mantenido reuniones con Perplexity, aunque aún no se ha presentado una oferta formal. Otra opción explorada sería una alianza tecnológica. Apple busca integrar la tecnología de Perplexity en un motor de búsqueda con IA o mejorar las capacidades de Siri, sobre todo tras los retrasos en su renovación. Perplexity combina funciones de motor de búsqueda con asistencia conversacional y tiene compatibilidad multiplataforma, lo que podría permitir a Apple acelerar sus desarrollos en IA, especialmente si pierde su acuerdo con Google. Además, Meta ya mostró interés en adquirir la startup, lo que resalta su valor estratégico. La potencial compra, valorada en unos 14.000 millones de dólares, superaría con creces la mayor adquisición previa de Apple, la de Beats en 2014 por 3.000 millones de dólares. Este movimiento podría ser clave para que Apple recupere terreno frente a competidores como Google y Meta en la carrera por la inteligencia artificial.

Related Articles

An AWS knowledge-graph deployment turned 6-month research cycles into 3 weeks - and the blueprint transfers far beyond pharma

An AWS GraphRAG deployment in pharmaceutical research cut R&D cycles by 87% - initial discovery that took six months now closes in three weeks - by fusing siloed internal databases and public literature into one queryable knowledge graph on Amazon Neptune Analytics and Bedrock (running Claude). Every answer comes with verifiable citations and a mapped reasoning path, which is exactly what regulated industries need for compliance. The architecture is modular and, crucially, transferable: any enterprise drowning in fragmented legacy data can copy this pattern.

SpaceX, Anthropic, and OpenAI listings will out-value every US VC-backed exit since 2000 - reshaping vendor economics for everyone

The new NVCA-Pitchbook Venture Monitor dropped a stunning claim: the pending OpenAI and Anthropic IPOs, together with SpaceX's listing, will generate more value than every US VC-backed exit since 2000 combined. SpaceX is already public at $1.77 trillion, and with both AI labs pushing toward trillion-dollar debuts, the trio should land north of $4 trillion - against roughly $70 billion in total US IPO proceeds last year. For anyone buying AI services, the labs' shift to public-market scrutiny will reshape pricing, transparency, and vendor stability.

A 14-person open-source team just became the default way 8.9M developers run local AI - and a lever for slashing inference bills

Ollama, the open-source tool that lets developers run open-weight AI models on their own machines in minutes, raised a $65M Series B led by Theory Ventures ($88M total), revealing it now serves 8.9 million developers monthly and sits inside 85% of the Fortune 500 - with just 14 employees. Founders Jeff Morgan and Michael Chiang previously built Docker Desktop, and they're repeating the play: abstract away the hardware pain, then monetise a cloud tier priced on GPU time rather than tokens. The backdrop is the industry's loudest cost debate: every company with heavy inference bills is under existential pressure to shift routine workloads to open models.