FloCore provides an AI‑driven control center that integrates data from PMIS, BIM, IoT sensors, CCTV/drone feeds, and field apps into a live 4D digital twin of construction projects. The platform continuously runs predictive "what‑if" simulations to forecast schedule, cost, and resource impacts, delivering real‑time risk alerts and corrective recommendations through a web dashboard for project managers and field teams.
Funding
Funding not disclosed
Founders
Product
Problem
Construction projects often rely on fragmented data sources such as project management information systems, BIM models, IoT sensors, and field reports, making it difficult to obtain a unified, up‑to‑date view of schedule risk, cost exposure, and resource constraints. This lack of real‑time insight leads to delayed reactions to issues, resulting in schedule slips and budget overruns.
Solution
FloCore delivers an AI‑driven control center that sits atop existing construction software and aggregates data from PMIS, BIM, IoT devices, CCTV/drone feeds, and field applications into a single live 4D construction twin. The platform continuously runs predictive “what‑if” simulations, quantifying the impact of potential delays on dates, costs, and resource utilization before they occur. Results are presented through an intuitive dashboard that highlights emerging risks and suggests corrective actions, enabling project managers and field teams to make proactive decisions in real time. By turning disparate data into actionable intelligence, FloCore functions as an operating system for the physical world of construction.
Target Audience
Primary users are construction project managers, site supervisors, and program executives overseeing large‑scale building or infrastructure projects, as well as owners and contractors seeking enterprise‑wide risk visibility.
Features
- Real‑time data integration from PMIS, BIM, IoT sensors, CCTV/drone streams, and mobile field apps into a unified project model
- Continuous 4D digital twin that combines BIM geometry, schedule, and live field signals for dynamic project visualization
- Predictive simulation engine that runs automated “what‑if” scenarios to forecast schedule shifts, cost impacts, and resource bottlenecks
- AI‑generated risk alerts and impact quantification displayed on a web‑based dashboard with drill‑down capabilities
- API layer that connects the AI control center to existing enterprise systems without requiring data migration
- Role‑based access for SPVs, project managers, and field crews, ensuring relevant insights are delivered to each stakeholder