Agemo Emerges from Stealth with $4 Million to Revolutionize AI Software Development
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- Agemo, a London-based startup, has exited stealth mode with $4 million in funding to develop AI that transforms text prompts into software. Founders Aymeric Zhuo and Osman Ramadan aim to address the plateauing of large language models (LLMs) and position Agemo as Europe's alternative to established companies like Poolside and Magic.
- The startup's funding round was led by Firstminute Capital and Fly Ventures, with contributions from DeepMind executive Mehdi Ghissassi and Datadog CEO Olivier Pomel. Zhuo emphasized their technical synergy, stating, When we look at AI researchers, they're good at researching but not building solutions.
- Agemo's platform aims to enable non-developers to autonomously create software, tackling the challenge of programming orchestration. Zhuo explained that their AI can reason like a team of engineers, allowing it to solve problems it hasn't been explicitly trained on, unlike existing LLMs.
- The startup differentiates itself by employing a neurosymbolic AI system, which combines neural networks with rules-based symbolic AI. Ramadan noted, We want to improve the environment so the LLMs can work better. So we're building an autonomous car — you'll never trust a good enough robot to drive you.
- Despite raising significantly less than competitors, Zhuo expressed confidence in their capital efficiency, stating, I'm confident that if we were in the Bay Area, we could have raised more money. The team is preparing to launch their platform, CodeWords, and aims to expand into the US market.
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