Aemon
Product & Competitive Intelligence
Autonomous AI engineer that discovers better algorithms than DeepMind at a fraction of the cost.
Company Overview
Builds an autonomous AI research engineer that reads code and literature, runs thousands of experiments, and integrates validated solutions directly into production codebases. Demonstrated by beating Google DeepMind's AlphaEvolve on an NP-hard circle packing problem (B.12, n=26) with less than $10 in compute.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
World-record performance on NP-hard circle packing (B.12, n=26), beating DeepMind's AlphaEvolve with fractional compute. Publicly verifiable via DeepMind's official verifier. Targeting CTOs, R&D leaders, and computational teams in quant finance, biotech, logistics, and materials science.
Signals & Private Analysis
Lean research-first team. 'Forward-deployed' language mirrors Palantir's model. Expansion likely beyond math optimization into applied ML research automation.
Product Roadmap Priorities
Continuous Autonomous R&D Agent: Aemon embeds within production codebases as a forward-deployed AI engineer that continuously identifies optimization opportunities, experiments with improvements, and merges validated enhancements.
An AI teammate that quietly tinkers with your codebase every night, and every morning you find it runs a little faster and costs a little less.
It's like having a mechanic who lives in your engine bay, constantly tuning your car while you sleep, and it's always faster when you wake up.
Autonomous Algorithm Discovery: Aemon's AI agent autonomously explores, tests, and evolves algorithmic solutions to complex optimization problems, setting world records with minimal compute.
An AI scientist that tries thousands of creative approaches to a hard math problem overnight and hands you the best answer in the morning.
It's like hiring a tireless PhD student who reads every paper ever written, tries every idea simultaneously, and never needs coffee or encouragement.
Automated Research-to-Code Translation: Aemon reads academic papers and technical literature, extracts implementable ideas, and autonomously converts them into tested, production-ready code.
An AI that reads every new research paper in your field and automatically builds working prototypes of the best ideas before your morning standup.
It's like having a universal translator that turns dense academic jargon into clean, tested pull requests.
Company Overview
Key Team Members
- Ray Xu, Co-Founder
- Richard Zhou, Co-Founder
Founder Force Multiplier
Twin brothers who dropped out of UWaterloo (Ray) and UIUC (Richard) to build Aemon full-time. Both published at top AI conferences (ICLR, EMNLP) before turning 20. Richard is an international medalist in math & robotics. The AlphaEvolve result (beating DeepMind at a fraction of cost) is a strong, publicly verifiable technical proof point.
Funding History
- 2025-2026 | Ray Xu and Richard Zhou co-found Aemon.
- 2026 | Accepted into Y Combinator W26 batch.
- 2026 | World-record on circle packing, beating DeepMind's AlphaEvolve.
Competitors
- AI Research Automation: Google DeepMind (AlphaEvolve, FunSearch), Sakana AI (AI Scientist).
- AI Coding Agents: Cognition (Devin), Factory AI, Cosine (Genie).
- Autonomous Engineering: Cursor, Magic AI.
- Traditional R&D: McKinsey QuantumBlack, Palantir AIP.
