CollaboraAI is a privacy preserving co-creation platform that lets multiple organizations train shared AI models (via federated learning) and collaborate in real time without exposing raw data. It combines specialized AI agents, an AI-augmented whiteboard, and a community knowledge graph to surface workflow insights and generate process improvements together.
Deep Funding is explicitly community-driven: proposals are reviewed, refined, and selected through expert feedback and open voting, fostering a sense of shared ownership among AI developers worldwide. CollaboraAI embeds the same ethos by convening stakeholder workshops and forming a consortium council that governs model updates, approves feature roadmaps, and votes on knowledge-graph enhancements creating a transparent, participatory decision process. This governance structure ensures that both CollaboraAI and Deep Funding maintain accountability and evolve according to the community’s collective vision
Modern enterprises struggle with isolated data silos, escalating privacy concerns, fragmented workflows, and ad hoc collaboration, all of which hamper productivity and innovation. CollaboraAI directly tackles these issues by enabling secure, privacy‐preserving co-innovation, seamless AI-agent coordination, and a shared knowledge graph that preserves institutional memory.
CollaboraAI is a federated, multi-agent co-creation platform combining TensorFlow Federated for decentralized model training with secure aggregation and noise injected differential privacy orchestrates GPT-4 agents via Agent-to-Agent protocols, embeds a React + Tailwind infinite AI canvas inspired by Miro, and maintains a Neo4j knowledge graph for semantic Q&A and best-practice sharing.
Deep Funding organizes projects into periodic rounds. Participants can submit proposals for the current round...
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