Prometheus AGI uses advanced Graph Retrieval-Augmented Generation (GraphRAG) to map humanity's 14,000+ patents and root causes, autonomously inventing cross-domain solutions for the United Nations Sustainable Development Goals. Unlike conventional AI that optimizes within single domains, Prometheus traverses across disciplines to discover novel solutions for the world's hardest problems.
The Problem: Innovation is Broken
The world faces an unprecedented paradox. Humanity has more scientific knowledge than ever, yet the most pressing global challenges remain unsolved. 97% of patents are never commercialized — trillions in R&D investment sit unused. 2.2 billion people lack access to safe drinking water, even though solutions exist in separate fields but are never combined. 100% of current research is siloed. AI today optimizes within domains, but no system traverses across them to find the missing links that could save lives.
The Engine: GraphRAG + Neo4j Knowledge Graph
Our engine operates in four steps. First, we ingest over 14,000 patents, research papers, and global crisis data into the system. Second, a Neo4j Knowledge Graph maps deep relationships across domains, technologies, and root causes. Third, GraphRAG AI traverses the graph to discover hidden connections that no human researcher could find alone. Finally, novel cross-domain solutions are autonomously generated, ready for real-world prototyping and validation.
Project HYDRA: Proof of Concept
Our first autonomous invention is Project HYDRA — a zero-electricity, self-monitoring water purification system. The AI discovered a novel intersection between Graphene Aerogels from materials science and Nanobiocatalytic membranes from biotechnology. This system operates entirely off-grid using passive filtration, destroys 100% of biofouling through enzymatic decomposition, and targets deployment in Sub-Saharan Africa where 2.2 billion people lack safe water access.
Roadmap
Phase 1 (Q1–Q2 2026): In-silico validation — build and validate the 14,000+ node knowledge graph engine. Phase 2 (Q3–Q4 2026): Physical prototyping — fabricate and lab-test Graphene Aerogel and Nanobiocatalytic membrane prototypes. Phase 3 (2027): Field deployment — deploy HYDRA units in Sub-Saharan Africa and open-source the complete design.
Team
Founded by Khathahat Sitthihong, Founder and Chief Architect, based in Bangkok, Thailand. Building AI that solves humanity's hardest problems through knowledge engineering and graph databases. We are actively recruiting advisory board members in Materials Science, AI and Graph Systems, and Water Infrastructure.
Partner With Us
We are raising a $500,000 philanthropic grant to transition Project HYDRA from simulation to physical prototyping and field deployment. The initiative is open-source, UN SDG aligned, and driven by a non-profit mission. Whether you are an investor, researcher, or institution — we would love to hear from you.
Contact
Email: founder@prometheus-agi.tech · Location: Bangkok, Thailand · LinkedIn · GitHub