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Vivek Raghavan: Building for India’s languages and institutions
Sarvam’s co-founder story centres on building AI for the languages and institutions that broad global benchmarks can overlook.
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Bhavish Aggarwal: Building an AI company for Indian use cases
Krutrim’s founding pitch puts Indian languages and local computing needs inside the same company narrative.
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Amnon Shashua: Connecting AI research and company formation
Amnon Shashua’s company-building history spans different AI markets, each with its own standards for useful evidence.
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Yoav Shoham: Turning language research into AI products
Yoav Shoham’s AI21 profile connects academic work on intelligent systems with the demands of practical language products.
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Dani Yogatama: Building models for more than one kind of input
Reka co-founder Dani Yogatama’s background connects language research with a company working across different kinds of input.
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Yi Tay: Bringing research experience into a multimodal startup
Yi Tay’s move between research and startup building shows why an AI career rarely fits a permanent founder label.
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Daniel De Freitas: Building a product around open-ended conversation
Daniel De Freitas’s Character.AI chapter highlights the difficult work of turning open-ended dialogue into a usable consumer product.
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Noam Shazeer: Designing conversational AI as an experience
Character.AI’s founding story shows how model capability can become a distinct conversational experience.
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David Luan: Building toward AI that works with software
Adept’s founding ambition put software actions, rather than conversational answers alone, at the centre of an AI product.
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Niki Parmar: Connecting foundational research and enterprise tools
Niki Parmar’s research and co-founder history provides a lens on the transition from general methods to specific enterprise problems.
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Ashish Vaswani: From model architecture to company building
Ashish Vaswani’s Essential AI chapter connects foundational model research with the practical demands of building a company.
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Daniela Amodei: Building the organization around an AI research lab
An AI lab needs an organisation that can connect research ambitions with dependable execution.
INDEPENDENT MINDS. INTELLIGENT COVERAGE.
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