FREEDA raises 3.4 million euros to make building design more reliable thanks to AI

In the construction sector, 70% of delays occur before the first shovel is even broken. Originally, errors scattered throughout the plans, often unnoticed despite hours of manual proofreading. It is on this weak link that Freeda, a Parisian startup which combines artificial intelligence and human expertise to detect these errors upstream, is positioned.

The company has designed a platform capable of analyzing an architectural plan in forty-eight hours, compared to around a hundred hours of manual verification. Its approach combines visual recognition algorithms and validation by architects, engineers and compliance specialists. The result: plans revised more quickly, but above all more reliable, making it possible to avoid delays that can cost project owners up to 100,000 euros per month.

Architectural plans are a type of information that seems very intuitive to humans because it is designed by and for them, but that machines have difficulty mastering. Changing this is crucial to bringing construction into the AI ​​era », observes Pierre Entremont, partner of the Frst fund. This idea sums up Freeda’s promise: not to automate for the sake of automation, but to integrate AI into business verification processes, where it can increase reliability and reduce losses.

For investment partners, this pragmatic orientation illustrates an evolution in the application of artificial intelligence to construction. “Freeda perfectly illustrates the new generation of AI solutions in construction: not general AI, but AI deeply anchored in business workflows,” underlines Guillaume Bazouin, EMEA partner at Brick & Mortar Ventures.

Founded at the end of 2024 by Peter Starr, former urban planner and owner’s representative at AECOM, with Augustin Perraud (formerly 2026, with active projects in Europe, UK, USA and the Middle East.

The 3.4 million euro funding round, led by Frst with the participation of Brick & Mortar Ventures, should enable the startup to strengthen its teams of experts in architecture and engineering, accelerate the development of its AI and adapt its platform to local standards in foreign markets.