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Multiverse Computing Raises $215 Million to Expand Quantum-Inspired Model Compression

Bullhound Capital’s lead investment will drive use of CompactifAI, reducing inference costs by up to 80% through models small enough to run on edge devices.

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Overview

  • The Series B round was led by Bullhound Capital alongside HP Tech Ventures, Forgepoint Capital International and Toshiba, valuing the company at over $500 million.
  • CompactifAI shrinks large language models by up to 95% with only a 2%–3% drop in accuracy and accelerates inference by 4x–12x.
  • The compressed models deliver a 50%–80% reduction in inference costs compared with uncompressed LLMs.
  • CompactifAI’s slimmed-down models can run on smartphones, cars, drones and even Raspberry Pi, extending AI capabilities to edge devices.
  • Since its 2019 founding in San Sebastián, Multiverse has secured over 160 patents and serves more than 100 customers globally, including Iberdrola, Bosch and the Bank of Canada.