Aemon
The Forward-Deployed AI Research Engineer
Aemon is active in the b2b space based in San Francisco, CA, USA.
Profile
Aemon is the first autonomous research engineer that delivers state-of-the-art solutions to your engineering problems. It generates, tests, and evolves thousands of approaches at machine speed to discover optimal solutions beyond what human experts can find.
Aemon already set a new world record on an NP-hard math optimization problem with <$10 of compute, beating the previous record set by Google DeepMind in 2025.
Ray and Richard (twin brothers) dropped out of UWaterloo and UIUC to build Aemon. They published at top AI conferences like ICLR and EMNLP before turning 20.
Within the b2b space, the company focuses on its core offering rather than a broad product line.
Its base of operations is San Francisco, CA, USA.
It is recorded at the Winter 2026 stage.
Its team size is recorded as 3 employees.
Directory analysis
Aemon is a B2B startup based in San Francisco that offers an autonomous research engineer capable of generating, testing, and evolving thousands of AI‑driven solutions at machine speed to solve engineering problems. It claims to have set a world record on an NP‑hard optimization problem using less than $10 of compute, surpassing a previous record set by Google DeepMind. The founders are twin brothers Ray and Richard, who left university and published at top AI conferences before turning 20.
Positioning: Aemon positions itself as a cutting‑edge AI research automation platform aimed at enterprises needing rapid, optimal engineering solutions. Its early technical achievements suggest strong credibility, but commercial traction and market adoption remain to be demonstrated.
Note: Aemon claims record‑breaking performance on NP‑hard problems with minimal compute.
Auto-generated directory analysis from public data · updated 8 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | San Francisco, CA, USA |
| Country | USA |
| Employees | 3 |
| Stage | Winter 2026 |
Website: aemon.ai
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