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R42 Institute AI Fellows Program
2026 Projects 

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R42 Institute is running an AI Fellowship Program. A launchpad for deep technology and science disruptors, the Fellowship is designed to develop AI/machine learning, deep science, design thinking and entrepreneurial skills of emerging talent.

The Fellowship has been designed to provide each Fellow with one-on-one mentoring, an opportunity to hone their tech and science skills and combine it with design thinking tools over an accelerated period.

This is an online program, with virtual interaction.

Over 11 weeks, the Fellows have been working closely with the R42 Team, mentors and portfolio companies on exciting deep tech and science projects.

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You must be at least 18 years of age to apply to the R42 Fellowship Institute Program.

AI Fellows Receive:

  1. . R42 Institute AI Course (both live and recorded classes) - Fellows can get accelerated content to work on their projects

  2.  One-on-one mentoring with R42 team, typically accomplished scientists and professionals with decades of experience

  3.  All R42 lectures

  4.  R42 Institute Certificate

  5.  A unique opportunity to build a wide network of inventors, entrepreneurs and investors

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 Cohort 9 starts June, 15 2026, with a demo day on August 21th, 2026.

R42 Institute, part of the R42 group, educates about AI, longevity, biotechnology. Its mission is to further define the university of the future which will be ever more important in the post-COVID world. This is another opportunity to seek ways to create the future and not just react to it.

2026 Projects:

Stockmarket Prediction Project

Predicting the stock market has been the holy grail for financiers. There have been many mathematical models. Most often, however, these models rely on their own past data. We will be taking signals from a model that does not use past data and attempt to get a model that takes an ensemble of predictive signals to find the best model for the trading system. We will be working with signals from Algodynamix.com. 

R42 Ageotype Project

The Ageotype Project is an R42 initiative designed to connect, integrate, and amplify the impact of R42’s ecosystem at the intersection of artificial intelligence and longevity science. The project brings together R42’s portfolio companies, research collaborations, and thought leadership to create a unified framework for understanding and improving human longevity.

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As part of this effort, the project will develop the R42 Longevity AI system — an intelligent platform powered by advanced AI agents that integrates longevity technologies, scientific insights, and personalized health data. The system aims to help individuals, researchers, clinicians, and investors navigate longevity science through personalized insights, recommendations, and connections to relevant innovations. The goal is to translate the rapidly evolving field of longevity into actionable knowledge and coordinated progress toward healthier, longer lives.

R42 Agentic AI Platform

The R42 Agentic AI Platform is an AI-native system designed to enable a single founder to build and run an entire company with an “AI Army.” By integrating agentic AI, LLMs, vibecoding tools, and specialized AI skills, the platform allows AI agents to design products, write code, generate marketing content, support customers, and manage product evolution. It also automates core business operations such as accounting, taxes, HR, and compliance. The goal is to create a one-stop platform that enables individuals to launch and scale companies with minimal team size.

BioNeural AI Computing

Neuron-Powered Computing explores a new class of biological computing systems that use real living neurons as computational units. By interfacing biological neural networks with electronic hardware, the project investigates how neuron-powered processors can perform learning and information processing tasks, particularly in AI-related applications. The work will focus on building, testing, and validating prototypes that demonstrate how living neurons can contribute to computational tasks and how their capabilities compare with traditional silicon-based chipsets. The goal is to explore hybrid bio-digital architectures that could expand the future of AI computing beyond conventional hardware

Media AI Content Creation Platform

CAPMedia is an AI-powered media creation platform designed to enable users to create and evolve rich digital content across multiple formats including stories, games, films, and interactive media. Using generative AI, agentic workflows, and integrated creative tools, the platform allows users to develop narratives, characters, worlds, and multimedia experiences through natural language and AI-assisted production.

The project explores how AI can serve as a creative copilot for ideation, content generation, and production, making it possible for individuals and small teams to build complex media projects more efficiently and experiment with new forms of storytelling and entertainment.

R42  Podcast

The R42 Podcast is a media platform focused on conversations at the intersection of artificial intelligence, longevity science, venture capital, and entrepreneurship. The project produces long-form discussions with founders, scientists, investors, and thought leaders exploring breakthrough ideas, emerging technologies, and the future of human health and innovation.

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Content from each episode will be transformed into short-form clips and distributed across major social platforms to expand reach and engagement. The goal is to build a high-quality knowledge and media channel that shares insights from the R42 ecosystem while fostering broader discussion around AI, longevity, and the next generation of technological entrepreneurship.

AI Growth Hacking Platform

The AI growth hacking project replaces scattered growth tactics with a systematic, AI-driven growth framework — guiding users from audience discovery through content creation, relationship building, and offer conversion, with AI co-pilots at every stage. Fellows will build an agentic growth engine where AI agents autonomously execute multi-step growth workflows — identifying prospects, crafting personalized content, running growth experiments, and orchestrating launch sequences — reducing the time from strategy to execution from weeks to hours.

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