This startup develops a vertical AI platform for the construction industry that integrates artificial intelligence with sensor data to analyze and interpret activities on construction sites. By providing predictive insights and deviation alerts, the platform enhances quality management and operational efficiency across various project data sources.
Funding
$5.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Construction projects generate vast amounts of data from various sources like designs, plans, IoT sensors, and historical records, but this data remains largely unorganized and underutilized. Project managers and other stakeholders are burdened with manual tasks, leading to errors, delays, and inefficiencies. Fragmented data and knowledge silos hinder effective collaboration and decision-making.
Solution
CONXAI offers a no-code AI platform tailored for the construction industry, enabling users to integrate, organize, analyze, and interpret project data to generate actionable insights and automate workflows. The platform leverages construction-aware AI to extract critical information from unstructured data, automate complex workflows, and create a connected source of truth for project lifecycle data. By providing real-time awareness, automating reporting, and facilitating knowledge management, CONXAI enhances project control, reduces risks, and improves overall operational efficiency. The modular and scalable architecture allows users to start with a single use case and expand as needed, with options to use pre-built dashboards or integrate via open APIs.
Target Audience
CONXAI targets AEC (Architecture, Engineering, and Construction) professionals and enterprises seeking to improve project control, automate workflows, and prevent knowledge loss by leveraging AI without requiring coding expertise.
Features
- No-code AI platform with an intuitive drag-and-drop visual interface for building AI use cases
- Automated extraction of cost- and risk-critical information from unstructured data sources (photos, videos, sensor data, documents, CAD)
- Agentic AI to automate complex workflows, such as report generation and document processing
- Real-time visibility into site conditions, labor, equipment utilization, and ongoing activities through SiteLens
- Lean Construction metrics, including Cascade and Burndown analysis and Line of Balance assessment, to monitor project performance
- Customizable dashboards and open APIs for seamless integration with existing workflows
- GDPR and ISO 27001 certifications for enterprise-grade compliance and data protection