Organization Name: DeReticular Academy
Project Title: The RIOS Co-Pilot: Scaling AI-Native Entrepreneurship in Rural Communities
Focus Area(s): Knowledge, Skills, and Learning; Resilient Communities
Funding Request: $1,500,000
1. Project Summary
DeReticular Academy is developing the “Rural Infrastructure Operating System (RIOS) Co-Pilot,” a groundbreaking educational program powered by generative AI. This initiative will scale our proven “Building the AI Native RIOS” curriculum, which trains entrepreneurs and leaders in rural communities to build localized, data-driven economies. The Generative AI Accelerator funding and technical support will be used to create a sophisticated AI co-pilot that hyper-personalizes the learning experience, helps students simulate complex economic models for their hometowns, and drastically lowers the barrier to creating AI-native businesses. By moving beyond a static curriculum to a dynamic, AI-powered educational tool, we can empower a new generation of rural innovators to build resilient, self-sufficient communities and ensure that the opportunities of the AI revolution reach every corner of the country.
2. The Problem: The AI Opportunity Divide
The promise of AI threatens to widen the economic gap between urban centers and rural communities. While metropolitan areas are becoming hubs of AI development, rural America faces a significant “opportunity divide.” Local entrepreneurs and community leaders lack access to relevant, industry-aligned AI training that speaks to their unique challenges and opportunities—such as precision agriculture, renewable energy management, and small-town logistics. This gap leads to a cycle of brain drain, missed economic potential, and a sense that the future is happening elsewhere. Without a targeted intervention, rural communities risk becoming passive consumers of technology rather than active builders of their own prosperous, tech-enabled futures.
3. Our Solution: The RIOS Co-Pilot Program
Our solution is to transform our existing, successful RIOS curriculum into a scalable, interactive platform powered by a generative AI teaching assistant—the RIOS Co-Pilot.
The core RIOS curriculum teaches students how to create a “Data Flywheel” by integrating data from local assets like energy, logistics, and small businesses. The RIOS Co-Pilot will supercharge this curriculum in three ways:
- 1. Hyper-Personalized Learning & Simulation: The Co-Pilot will act as a dynamic learning partner. A student from a farming community in Nebraska can ask it to “Generate a RIOS business plan for a drone-based crop monitoring service that integrates with local weather data and co-op grain prices.” Another student in Appalachia could ask it to “Simulate the economic impact of integrating a microgrid (like Agra Dot Energy) with local small businesses to reduce energy costs.” This moves beyond static case studies to create millions of contextually relevant learning paths.
- 2. Democratizing Business Creation: The Co-Pilot will serve as an entrepreneurial accelerator. It will help students draft business plans, create marketing copy, write grant proposals, and even generate Python code snippets for data analysis. This dramatically lowers the barrier to entry, allowing a community leader with a great idea but no formal business training to create a viable, investment-ready plan.
- 3. Building a Scalable Educational Model: By embedding pedagogical expertise into the AI, the RIOS Co-Pilot allows us to scale our impact exponentially. It will enable us to create a “train-the-trainer” program, empowering instructors at community colleges and economic development agencies to deliver our world-class curriculum with the support of a powerful AI teaching assistant.
4. How We Will Use Google’s Support
This project is a perfect marriage of our domain expertise in rural education and Google’s technical leadership.
- Funding ($1.5M): The funding will be used to hire a dedicated team of AI engineers and instructional designers to build and train the RIOS Co-Pilot, provide scholarships for 500 participants from underserved rural areas, and build the platform infrastructure.
- Technical Expertise: Access to Google’s pro bono AI experts is invaluable. We need guidance on selecting the right foundation models, developing a secure and ethical training process using our proprietary curriculum data, and optimizing the Co-Pilot for educational effectiveness.
- Google Cloud Credits: Cloud credits will be essential for both the development and training of the model and for providing our students with a sandboxed environment where they can run their RIOS simulations and data projects.
5. Impact and Scalability
The RIOS Co-Pilot is designed for scale. Our vision is to create the de facto operating system for rural economic development in the AI age.
- Year 1: Launch the RIOS Co-Pilot and enroll 500 students. At least 100 viable, AI-enabled business plans or community initiatives will be created.
- Year 2-3: Scale to 2,500 students annually through our direct-to-entrepreneur and train-the-trainer models. We project the creation of over 50 new rural businesses and the attraction of $5M+ in follow-on investment for our graduates’ ventures.
- Long-Term Vision: The RIOS framework and Co-Pilot can be adapted for rural communities globally, creating a worldwide network of AI-enabled towns and villages. We will build a repository of successful, community-generated RIOS models that can be shared and adapted, creating a flywheel of innovation.
By investing in the RIOS Co-Pilot, Google.org will not just be funding a course; you will be seeding a movement of community-led, AI-powered innovation that builds resilience and creates opportunity where it’s needed most.
