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

      The startup based in Munich automates intricate project workflows by utilizing AI that is trained on construction-specific data rather than general-purpose models. Its investors include Earlybird, Pi Labs, noa, and Zacua Ventures.

      Conxai, a Munich construction AI startup, has secured €5 million in fresh funding. This funding round follows the €2.7 million pre-seed investment the company raised in January 2022, co-led by the Earlybird UNI-X fund and Pi Labs, with contributions from noa (previously A/O PropTech) and Argonautic Ventures. Zacua Ventures, a venture capital firm specializing in construction technology that features Conxai in its portfolio, has also supported the startup.

      Founded in 2020 by Sharique Husain, who is the CEO, along with Muralikrishna Sridhar, Conxai has created a vertical AI platform specifically tailored for the architecture, engineering, and construction (AEC) sector. This platform is not a general-purpose model modified for use in construction; instead, it is trained from the ground up on construction workflows, data structures, and processes.

      The platform is capable of extracting information from unstructured sources such as photographs, video footage, sensor readings, documents, and CAD files, which it then uses to automate reporting, document processing, and project control workflows.

      A module named SiteLens offers real-time insights into site conditions, labor, and equipment usage. The foundational technology is what Conxai refers to as Neuro-Agentic Reasoning Architecture: a system that integrates user knowledge with multi-modal AI analysis to deliver auditable, explainable automation for what the company describes as cognitive workflows—outputs that adjust to context rather than adhering to rigid rules.

      The no-code interface enables project teams to set up use cases without needing engineering resources. The construction industry is one of the least digitized among major sectors; McKinsey estimates that inefficiencies in this field result in losses amounting to trillions of dollars globally, with approximately 30% of data gathered during a construction project typically lost after its completion, even though this data could be valuable for future projects.

      The funding comes at a time when interest from investors in construction AI is clearly growing. A ConTech Investor Survey conducted by Zacua Ventures in February 2026, which gathered insights from 140 global investors, revealed that 84% plan to either maintain or increase their capital investments in the sector this year.

      Artificial intelligence is the foremost investment priority, with 67% indicating plans to enhance their investments, specifically highlighting agentic AI solutions as a key focus area. Conxai firmly positions itself within this category: instead of merely presenting data for human action, its agents are designed to perform workflows autonomously, thereby minimizing manual labor on tasks that currently demand a considerable amount of time on complex projects.