The Munich-based startup automates complex project workflows using AI trained on construction-specific data, not general-purpose models. Its backers include Earlybird, Pi Labs, noa, and Zacua Ventures.
Conxai, a Munich-based construction AI startup, has raised €5 million in new funding. The round adds to the €2.7 million pre-seed the company closed in January 2022 with Earlybird UNI-X fund and Pi Labs as co-leads, and participation from noa (formerly A/O PropTech) and Argonautic Ventures. Zacua Ventures, a specialist construction tech VC that lists Conxai on its portfolio page, has also backed the company.
Conxai was founded in 2020 by Sharique Husain, who serves as CEO, and Muralikrishna Sridhar. Its product is a vertical AI platform built specifically for the architecture, engineering, and construction (AEC) sector, not a general-purpose model adapted for construction, but a system trained on construction workflows, data structures, and processes from the ground up.
The platform extracts information from unstructured sources including photographs, video footage, sensor readings, documents, and CAD files, and uses it to automate reporting, document processing, and project control workflows.
The 💜 of EU tech
The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!
A module called SiteLens provides real-time visibility into site conditions, labour, and equipment utilisation.
The underlying technology is what Conxai describes as a Neuro-Agentic Reasoning Architecture: a system that fuses user knowledge with multi-modal AI analysis to produce auditable, explainable automation for what the company calls cognitive workflows,outputs that adapt to context rather than following fixed rules.
The no-code interface allows project teams to configure use cases without engineering resource. Construction is among the least digitised major industries: McKinsey has estimated that the sector’s inefficiency amounts to losses in the trillions globally, and around 30% of the data collected during a construction project is typically lost once it completes, even when that data could inform future projects.
The funding arrives as investor appetite for construction AI is demonstrably rising. A ConTech Investor Survey 2026 published by Zacua Ventures in February, drawing on responses from 140 global investors, found that 84% plan to maintain or increase capital deployment in the sector this year.
Artificial intelligence is the top investment priority, with 67% planning to increase exposure, and agentic AI solutions are specifically cited as a focus area.
Conxai positions itself squarely in that category: rather than surfacing data for a human to act on, its agents are designed to execute workflows autonomously, reducing manual overhead on tasks that currently occupy significant time on complex projects.
