
Vienna-based startup Ora Computing has raised €3.5 million in a Seed funding round. The company focuses on making AI foundation models smaller, faster, and more efficient through advanced compression technology.
Ora Computing plans to use the new funding to expand its team, improve its model compression technology for the largest AI models, and develop new capabilities for handling advanced AI systems.
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The company also aims to launch a commercial product for cloud inference providers and businesses that use AI. The funding round was led by Constructor Capital and Greencode Ventures, with continued support from XISTA Science Ventures, an early investor that helped establish the company.
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“We founded Ora Computing to challenge the assumption that massive scale is needed to reach useful intelligence. We believe that the next wave of AI adoption will be driven by more compact models that are highly efficient and optimised for specific use cases rather than large general purpose cloud models. Ora is building the software and algorithm stack that enables this transition,” says Stefan Sack, CEO and co-founder of Ora Computing.
“AI’s energy appetite is growing faster than the world can build the infrastructure to feed it. One key approach is to make AI itself more efficient, and that is exactly what Ora does. Compressing models radically without sacrificing accuracy makes a tremendous difference to their customers,” says Terhi Vapola, Founder and Managing Partner of Greencode Ventures.
Founded in 2024 by Stefan Sack and Raimel Medina, Ora Computing is developing technology that helps make large AI models smaller and more efficient. Its platform reduces the amount of memory needed to run these models by up to 80%.
By optimizing and compressing AI models, the company can also help them run up to four times faster, reducing computing costs and improving performance.







