In an industry long defined by manual processes and fragmented data, Conxai is pushing a new narrative by introducing agentic AI into construction workflows. The Munich based startup has secured €5 million in fresh funding to accelerate its mission of transforming how construction projects are managed and executed.
Fresh Capital to Accelerate Growth
The funding round was led by BayBG Venture Capital and Capricorn Partners, with continued backing from existing investors including Pi Labs, Earlybird, Noa, Zacua Ventures, and Argonautic Ventures.
This investment highlights growing confidence in the role of artificial intelligence in modernising one of the world’s largest yet least digitised industries.
Tackling a Deep Rooted Industry Problem
Construction is a massive global sector valued at approximately $13 trillion, yet it has seen minimal technological evolution over the past few decades. Many firms still rely on outdated software systems developed in the late 1990s, often disconnected from cloud infrastructure and heavily dependent on manual input.
As a result, inefficiencies are widespread. A significant portion of professionals in the sector spend time on non optimal tasks, from reviewing documents to managing disconnected workflows.
Conxai aims to address this challenge by unlocking the value of data that has traditionally been difficult to use, including images, documents, and tacit on site knowledge.
Built for Real World Complexity
Founded in 2012 by Sharique Husain and Muralikrishna Sridhar, Conxai has developed what it describes as a no code AI platform tailored for the architecture, engineering, and construction sectors.
The company focuses on construction workflows, where complexity and variability make traditional software solutions difficult to implement effectively. Off the shelf tools often lack adaptability, while custom built solutions can take too long to develop.
Conxai’s approach leverages agentic AI to dynamically interpret and act on data, enabling faster and more informed decision making in live project environments.
Turning Fragmented Data into Actionable Insight
A core strength of the platform lies in its ability to unify siloed information sources. Construction projects generate vast amounts of data, much of it unstructured and underutilised.
Conxai processes this data to extract meaningful insights related to costs, risks, and project performance. For example, the platform can analyse tender submissions, identify key technical and commercial details, and accelerate bid evaluation processes.
On construction sites, it uses real time camera feed analysis to monitor progress, detect potential issues, and generate automated reports. This allows project teams to respond quickly to delays or risks, improving overall efficiency.
Rising Investor Interest in Construction Tech
The funding comes amid increasing investor interest in construction technology, driven by global infrastructure demands and the rapid expansion of sectors such as data centres.
Industry experts point out that construction remains highly fragmented, creating opportunities for technology platforms to streamline operations, improve supply chains, and enhance decision making.
AI is particularly well suited to optimise service heavy workflows, such as document analysis, compliance checks, and project monitoring, even though physical labour itself remains less impacted.
Scaling Across Global Markets
With the new funding, Conxai plans to further enhance its agentic AI capabilities and expand into additional workflows across the construction lifecycle. The company is also targeting geographic growth across North America, Europe, and Asia.
By embedding intelligence directly into construction processes, Conxai aims to reduce inefficiencies and enable smarter project execution at scale.
As the industry faces increasing pressure to deliver faster, more sustainable, and cost effective projects, platforms like Conxai could play a critical role in reshaping how construction is planned and managed in the years ahead.
