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    Home»Startups»Structured AI lands €435k as Oxford grads go after construction’s biggest bottleneck
    Startups

    Structured AI lands €435k as Oxford grads go after construction’s biggest bottleneck

    Editor Times FeaturedBy Editor Times FeaturedJuly 30, 2025No Comments3 Mins Read
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    Structured AI, a London-based startup based by Oxford College graduates Raymond Zhao, Brandon Smith, and Isabel Greenslade, has raised roughly €435k in a pre-Seed spherical closed inside only one week.

    Backed by Zero Prime Ventures, Airtree Ventures, and the Oxford Seed Fund, the corporate is constructing vertical AI brokers to automate repetitive design engineering workflows that plague productiveness within the building sector.

    “The long run more and more calls for smarter, extra sustainable infrastructure and the engineers who design our cities and infrastructure are a number of the most important drawback solvers we now have. But, even with a extreme world engineering expertise scarcity, companies are sinking over a 3rd of their professional hours into guide, repetitive work.

    “Our mission at Structured AI is to provide engineers again their most precious asset: time, releasing them as much as design the infrastructure of tomorrow,” mentioned Raymond Zhao, Co-founder & CEO.

    Based in 2025, the startup is focusing on probably the most unglamorous however important issues within the Structure, Engineering and Building (AEC) business: the executive burden that senior engineers face.

    The founding workforce brings deep technical and industrial expertise, together with former careers in AI analysis, quantitative finance, and funding banking. Their verticalised method aligns with a rising development in AI: transferring away from generalist platforms and as an alternative constructing bespoke options that replicate the logic and complexity of particular industries.

    “AI and multimodality are unlocking large alternatives throughout vertical-specific industries. We consider the following technology of software program can be deeply verticalised, remodeling domain-specific workflows to drive effectivity, intelligence, and higher decision-making. Once we met Raymond, Isabel and Brandon we had been impressed by the vitality and velocity of execution they bring about to the desk. We’re proud to help Structured as they construct the way forward for domain-native AI software program,” mentioned Yang Tran, Associate at Zero Prime Ventures.

    In accordance with Structured AI, engineers usually spend as much as 30% of their time on technical documentation, reporting, and different routine however important duties. This inefficiency considerably slows challenge supply in an business that makes up over 5% of the US GDP and is at the moment dealing with a worldwide scarcity of expert engineering expertise.

    Structured AI’s preliminary product is already being piloted inside a top-150 US design engineering agency.

    It focuses on automating the creation and administration of technical paperwork, dramatically streamlining inner and exterior collaboration between engineers, architects, and basic contractors. By embedding their AI into actual workflows and dealing carefully with engineering groups, the Structured AI method is constructed to be each quick to deploy and protected to function inside regulated environments.

    “The one true differentiation in startups is urgency – and I’ve not met many groups who’ve as a lot urgency as Raymond, Isabel and Brandon. Impressed with what they’ve already constructed and excited to see what else is coming,” famous James Cameron, Associate at Airtree Ventures.

    Structured AI outlines that they work carefully with purchasers throughout two-week sprints to establish ache factors of their documentation workflows. Their methodology consists of on-site collaboration, ROI evaluation, and compliance coordination with InfoSec and governance groups, culminating in light-weight prototypes constructed inside actual workflows.

    The aim? To construct AI-powered instruments that engineers truly wish to use.





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