ConX Orbit offers a unified AI platform that integrates and deploys multi‑modal automation tools across construction workflows. Users can select from a marketplace of AI solutions—such as voice‑powered inspection, electrical code compliance, and AI‑generated daily site logs—and connect them to existing systems for real‑time monitoring, safety alerts, and predictive analytics, delivering up to 60% efficiency gains.
Funding
Funding not disclosed
Founders
Product
Problem
Construction projects often rely on disconnected tools and manual processes for inspections, compliance checks, reporting, and equipment tracking, leading to inefficiencies, safety risks, and delayed decision‑making.
Solution
ConX Orbit offers a unified AI‑driven platform that aggregates a marketplace of specialized construction AI tools—such as voice‑powered inspection (CheckMate), electrical code compliance (Electrax), and automated daily site logs—and connects them to IoT hardware like precision beacons, thermal cameras, and autonomous drones. Users select the required AI solutions, deploy them through quick integration with existing systems, and monitor performance via a cloud‑based dashboard. The platform automates data capture, generates formatted documentation, and applies machine‑learning analytics to provide real‑time safety alerts, equipment utilization insights, and predictive project timelines, delivering up to 60 % workflow efficiency gains.
Target Audience
Primary customers are construction firms, general contractors, and site managers who need to streamline inspections, compliance, and site monitoring across multiple projects.
Features
- Marketplace of pre‑built AI modules for civil, electrical, and planning tasks, selectable per project needs
- Voice‑first inspection tool (CheckMate) that records observations and auto‑generates reports
- Real‑time code‑compliance assistant (Electrax) with video‑based regulation lookup
- AI‑generated daily site logs that track progress and consolidate data automatically
- Seamless integration with IoT devices (precision beacons, thermal cameras, safety wearables, autonomous drones) for equipment/personnel monitoring
- Cloud analytics engine that applies machine‑learning models for safety prediction, energy optimization, and timeline forecasting
- Web dashboard with customizable alerts, KPI visualizations, and API access for third‑party system connectivity