Callosum, an AI compute infrastructure company building a global platform for heterogeneous intelligence, has raised $100 million in Seed funding led by Atomico, with participation from Plural, DCVC, the UK Sovereign AI Fund and other investors. The financing will support technology that combines different AI models and chips to optimize workloads for cost, speed and performance.
Building Infrastructure for Heterogeneous AI
Callosum is developing a platform that breaks AI workloads into individual tasks and directs each task to the model and silicon best suited to execute it. The approach, described as programmable heterogeneity, is designed to improve the economics and performance of AI infrastructure while reducing dependence on a single model or chip provider.
The company is also bringing Tailored Inference into production, providing task-specific intelligence through APIs running across heterogeneous compute. Initial applications span cybersecurity and finance.
Expanding Global Compute Partnerships
Alongside the funding, Callosum announced a flagship partnership with Cerebras to deliver ultra-low-latency, heterogeneous multi-agent intelligence at scale. Additional partnerships include next-generation silicon company Rebellions, infrastructure providers and OEMs worldwide.
"Agentic AI demands infrastructure that can keep up with the speed of reasoning, not just the size of the model,” — Andy Hock, Chief Strategy Officer, Cerebras Systems
"Working with Callosum puts our architecture into systems alongside hardware chosen for different parts of the workload, instead of asking one chip to do every job. That's the difference between a partnership and a deployment that only works in one environment or geography." — Sunghyun Park, CEO, Rebellions
Supporting Sovereign AI Infrastructure
Callosum became the first investment of the UK Sovereign AI Fund and was named in the UK's £1.1 billion AI hardware plan. The platform is designed to support frontier AI capabilities across different silicon architectures, helping countries and organizations reduce reliance on individual hardware suppliers.
"AI is nothing without the chips that underpin it - and the eye-watering demand for them is only going to grow. In the race to develop and use AI, success will depend not just on having access to those chips, but on using them as efficiently as possible." — Kanishka Narayan, Minister for Artificial Intelligence, UK Government