Bitloops, a startup with team members in both Cyprus and Greece, has secured €1 million in pre-seed funding to advance its AI-powered development platform designed for professional frontend engineers.
According to an official announcement released this week, the funding round was led by Eleven Ventures and Corallia Ventures, along with several angel investors.
The funding aims to accelerate Bitloops’ efforts to redefine how software teams transform Figma designs into high-quality, scalable production code without compromising engineering standards.
“This is not just code generation,” said Vasilis Danias, Co-Founder and CEO of Bitloops. “It is system-aware implementation.”
He explained that while many generative AI tools and large language models can quickly generate code, they often fall short on architecture, responsiveness and real-world integration, resulting in time-consuming refactoring to meet enterprise standards.
“Developers can get 80 per cent of the way from design to code in a few hours, but the last 20 per cent is where everything slows down,” Danias said. “That final polish often takes days, if it happens at all, causing delays, frustration and endless loops with designers.”
He emphasised that generic AI tools such as ChatGPT or even code editors like Cursor or Windsurf can assist with snippets or quick fixes but do not provide the productivity leap that professional frontend developers need.
“Bitloops changes that,” he added. “Developers can now achieve results that are 95 per cent perfect in just minutes instead of hours, without sacrificing quality, structure or design fidelity.”
Bitloops’ solution combines advanced AI with workflows crafted for professional craftsmanship, producing fully responsive and documented UI components directly from designs.
According to Danias, the platform addresses persistent challenges in frontend development, including managing CSS at scale, maintaining consistent component design, and reducing rework.
By automatically updating design systems, generating Storybook documentation, and producing clean, scalable code, Bitloops helps teams eliminate repetitive tasks and accelerate delivery.
“Bitloops is building a category-defining product at the intersection of AI and professional software development,” said Svetozar Georgiev, Partner at Eleven Ventures.
He stated that their vision of enabling developers to work faster without compromising quality fits perfectly with where the industry is heading.
Nikos Vogiatzis, Partner at Corallia Ventures, added that Bitloops is tackling a well-documented bottleneck in frontend development where repetitive, low-level tasks slow down even the most experienced teams.
“Their approach is grounded in strong technical research and a clear grasp of developer workflows,” he said. “We are excited to support a team bringing rigour and innovation to an area that is overdue for transformation.”
Since launching its closed alpha, Bitloops has already onboarded over 100 developers and partnered with five design partners who are actively shaping the product.
Their feedback has validated both code quality and developer experience, confirming that Bitloops delivers value where other solutions fall short.
With the newly raised funds, Bitloops plans to expand its team, refine its AI models, and enhance the platform’s features to handle intelligent component variants, viewport-specific design rendering, and deeper design system mapping.
Sergio Pereira, Co-Founder and COO of Bitloops, said that for developers, the real bottleneck is not creativity but the grind.
“Bitloops eliminates the grunt work: the CSS wrangling, the variant juggling, the endless tweaks,” Pereira said.
He added that the platform allows teams to ship polished, production-ready UIs at scale without the usual trade-offs.
“It is not just automation; it is leverage,” he said.
Bitloops is currently in closed alpha, with a waitlist open for interested developers.
As the platform matures, its goal is to provide frontend teams with production-grade code that simplifies complex design-to-code workflows.
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