- Security startup Maze finds way to $25M Series A - Axios
In April, Cynomi, a cybersecurity agentic AI platform for service providers, raised a $37 million Series B, and agentic AI security operations center startup Exaforce locked up $75 million in Series A "The emerging capabilities of AI will transform security," says Andy Triedman, a partner at Theory Ventures "The question isn't will this work?
- London-based Maze, which uses AI agents to stop cloud . . .
London-based Maze, which uses AI agents to stop cloud security breaches, launches with $31M in total funding, including a $25M Series A led by Theory Ventures — Maze, an agentic AI startup for cloud security, raised a $25 million Series A led by Theory Ventures, co-founder and CEO Harry Wetherald tells Axios Pro
- London-based Maze secures €22. 5M to beat hackers at their own . . .
Maze, an AI-native cloud security platform, has secured $25M (approximately €22 5M) in Series A funding led by Theory Ventures to advance autonomous vulnerability investigation and resolution Founded by Harry Wetherald, Adrian Jozwik, and Santiago Castineira in 2024, the startup has now raised a
- London-based Maze, which uses AI agents to stop cloud . . .
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- Techmeme: Symbolica, which develops foundation models . . .
Anna Tong Reuters: Symbolica, which develops foundation models offering an alternative to the transformer AI architecture, raised a $31M Series A led by Khosla Ventures Open Links In New Tab Mobile Archives Advertise
- How a London-based startups artificial AI gambit backfired
Builder ai, a London-based startup once hailed as a rising star in the artificial intelligence space, has entered insolvency after it emerged that its much-touted AI platform was powered not by machine learning—but by hundreds of human engineers in India The company, which secured $445 million in
- Symbolica Raises $31M to Redesign AI with . . . - Maginative
Symbolica's goal is to move beyond the "alchemy" of contemporary AI and establish a more rigorous, scientific foundation for machine learning By grounding AI in category theory, the company aims to create models with inherent reasoning capabilities, rather than relying on emergent side effects from training on massive datasets
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