Aemon is a forward-deployed, autonomous AI research engineer that generates, tests, and evolves thousands of approaches to discover optimal solutions to engineering problems. It reads state-of-the-art research and then generates and evolves candidate approaches at machine speed, often surpassing human expert capabilities. The company says it achieved a world record on an NP-hard math optimization problem using less than $10 in compute, outperforming a previous 2025 record from Google DeepMind. Aemon was founded in 2025 and is part of Y Combinator's Winter 2026 batch.
Aemon
ActiveThe Forward-Deployed AI Research Engineer
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
Autonomous AI research engineer that generates, tests, and evolves candidate solutions
Reads state-of-the-art research papers to inform its approach
Iterates across thousands of approaches at machine speed
Evolutionary search loop that refines candidates toward optimal solutions
Targets hard engineering and mathematical optimization problems
Operates on a forward-deployed model embedded with customer teams
Compute-efficient search demonstrated on NP-hard problems
Empirical, test-driven validation of each generated approach
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What does Aemon actually do?
- It acts as an autonomous AI research engineer that reads relevant research, then generates, tests, and evolves thousands of candidate approaches to converge on strong solutions for hard engineering and optimization problems.
- Is Aemon proven on real problems?
- The company reports achieving a world record on an NP-hard math optimization problem using less than $10 in compute, outperforming a previous 2025 record attributed to Google DeepMind. As an early-stage company, its broader track record is still developing.
- What kinds of problems is Aemon best at?
- Problems that are clearly defined and automatically testable, such as optimization, algorithm discovery, and other engineering challenges where candidate solutions can be scored objectively.
- How does Aemon engage with customers?
- It uses a forward-deployed model, meaning the system is embedded close to a customer's specific engineering problems rather than offered purely as generic self-serve software.
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