Conxai secures €5M to introduce agentic AI in the construction sector.

      The Munich-based startup leverages AI trained on construction-specific data to automate intricate project workflows, rather than relying on general-purpose models. Its investors include Earlybird, Pi Labs, noa, and Zacua Ventures.

      Conxai, a construction AI startup located in Munich, has successfully secured €5 million in additional funding. This funding round follows the €2.7 million pre-seed funding it obtained in January 2022, led by the Earlybird UNI-X fund and Pi Labs, with participation from noa (formerly A/O PropTech) and Argonautic Ventures. Zacua Ventures, a venture capital firm specializing in construction technology that features Conxai in its portfolio, has also provided support.

      Founded in 2020 by Sharique Husain, who is the CEO, and Muralikrishna Sridhar, Conxai has developed a vertical AI platform tailored specifically for the architecture, engineering, and construction (AEC) sector. This platform is not a generic model modified for construction; instead, it is trained on specific workflows, data structures, and processes relevant to the industry from the ground up.

      The platform is capable of extracting information from unstructured materials such as photographs, videos, sensor data, documents, and CAD files, which it utilizes to automate reporting, document processing, and project control workflows. A component known as SiteLens offers real-time insights into site conditions, labor, and equipment utilization.

      Conxai refers to its foundational technology as a Neuro-Agentic Reasoning Architecture—a system that integrates user expertise with multi-modal AI analysis to create auditable, explainable automation for what the company defines as cognitive workflows, which adapt to context instead of adhering to rigid rules.

      The platform's no-code interface enables project teams to set up use cases without needing engineering resources. The construction industry is considered one of the least digitized major sectors. McKinsey estimates that inefficiencies in this field lead to global losses in the trillions, and roughly 30% of data gathered during construction projects is typically lost upon completion, despite its potential utility for future initiatives.

      This new funding comes at a time when investor interest in construction AI is evidently growing. According to the ConTech Investor Survey 2026 by Zacua Ventures, released in February and based on feedback from 140 global investors, 84% plan to maintain or increase their capital investments in the sector this year.

      Artificial intelligence is highlighted as the highest investment priority, with 67% of investors intending to enhance their exposure, and agentic AI solutions specifically identified as a key focus area.

      Conxai firmly establishes itself within this domain: its agents are designed to autonomously execute workflows, thereby minimizing the manual workload on tasks that currently consume considerable time on complex projects, rather than merely presenting data for human intervention.