Multiverse Computing also aims to apply its platform to compress Large Language Models (LLMs) with a new product called CompactifAI. The company claims that it can compress LLMs "with quantum-inspired tensor networks" by more than 80% while still producing accurate results. This could have significant implications for how companies buy and use processors, addressing one of the industry's major bottlenecks. The startup's clients include Moody’s Analytics, Bosch, BASF, Iberdrola, Credit Agricole, and BBVA.
Key takeaways:
- Multiverse Computing, a startup based in San Sebastian, Spain, has raised €25 million ($27 million) in an equity funding round led by Columbus Venture Partners, valuing the company at €100 million ($108 million).
- The startup plans to use the funding to continue building out its existing business working with startups in verticals like manufacturing and finance, and to forge new efforts to work more closely with AI companies building and operating large language models.
- Multiverse Computing's software platform Singularity is designed to run and optimize complicated modelling and predictive applications more efficiently across a wide range of industries.
- The company claims that it can compress Large Language Models “with quantum-inspired tensor networks” by more than 80% with the software, while still producing accurate results, which could have large implications for how companies buy and use processors.