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European Startup Unveils 'Animal Brain' AI Models, Targeting Tiny IoT Devices

AI Machine Learning Startups Small AI Models Multiverse Computing LLMs TechCrunch Disrupt
August 14, 2025
Viqus Verdict Logo Viqus Verdict Logo 8
Miniature Revolution
Media Hype 7/10
Real Impact 8/10

Article Summary

Multiverse Computing, a Spanish AI startup focused on model compression, has released its ‘Model Zoo’ – a family of incredibly small AI models named after animal brain sizes. The flagship models, ‘SuperFly’ and ‘ChickBrain’, are designed to address the growing demand for on-device AI. ‘SuperFly’, a compressed version of Hugging Face’s SmolLM2-135, utilizes 94 million parameters, likened to a fly’s brain, and is targeted at tasks like controlling smart appliances through voice commands. ‘ChickBrain,’ a compressed version of Meta’s Llama 3.1 8B, boasts 3.2 billion parameters and provides more advanced reasoning capabilities, capable of running on a MacBook without an internet connection. Both models outperform their original counterparts in several benchmarks, demonstrating that size doesn’t necessarily equate to reduced performance. The startup’s ‘CompactifAI’ technology, inspired by quantum physics, significantly reduces model size without sacrificing accuracy. Multiverse is already in discussions with major device manufacturers like Apple, Samsung, and Sony, and offers its compressed models via an API on AWS. This innovative approach could revolutionize the deployment of AI in everyday devices.

Key Points

  • Multiverse Computing has released two AI models, ‘SuperFly’ and ‘ChickBrain’, designed for ultra-small devices.
  • The company’s ‘CompactifAI’ technology compresses AI models without sacrificing performance, relying on quantum-inspired algorithms.
  • These models can run locally on devices like smartphones and IoT devices, enabling functionality even without an internet connection.

Why It Matters

This news is significant because it addresses a critical barrier to widespread AI adoption – the massive computational requirements and storage demands of traditional AI models. Multiverse’s approach, leveraging quantum-inspired compression, unlocks the potential for AI to be integrated into a vastly wider range of devices, from smart home appliances to wearable technology. This has implications for developers, manufacturers, and consumers, potentially driving a new wave of intelligent devices and opening up entirely new applications for AI. Furthermore, the startup’s focus on European technology and its established investor base – including prominent European VC firms – highlights the growing competitiveness of European AI innovation.

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