Veea and Genesys Impact Launch On-Site AI Safety & Asset Intelligence Platform for MCN

Veea announced a deployment for MCN Build that puts real-time safety, compliance, asset intelligence and tracking directly at the jobsite by running entirely at the edge. As AI in construction scales toward multi‑billion‑dollar adoption, the solution signals how modern worksites will operate going forward.

Landmark integration, delivered at the edge. The project is the first to unify the Crowdkeep™ people and asset tracking technology assets acquired by Veea, with Veea’s MetaLynx™ smart construction solution on the VeeaONE™ platform. With construction management applications running on the all-in-one VeeaHub units supported by GPUs on a mesh network, all video analytics and telemetry are processed locally, enabling event‑to‑alert response even with poor or no internet. A critical aspect of this type data collection at construction sites for construction companies and subcontractors is data sovereignty and privacy that VeeaONE platform is uniquely capable of maintaining at the edge without compromising the quality of video and data analytics delivered. VeeaONE’s fully integrated AI-driven cybersecurity solution, for data-at-rest and data-in motion for smart construction, addresses one major shortcoming compared to other solutions offered. With tsunami of AI-driven cyberattacks, it is crucial to recognize that connected assets with multiaccess technologies, digital project management tools, and IoT-enabled equipment make construction projects highly vulnerable to data breaches, ransomware, and disruptions that can halt operations and lead to significant financial and safety risks. The result: faster interventions, stronger compliance, and higher utilization of people and equipment without the latency, privacy, cybersecurity or dependency risks of cloud‑only systems.

“We are thrilled to have partnered with Genesys and MCN on the first-of-its-kind AI-powered end-to-end solution for smart construction we have deployed in Frederick, MD,” said Allen Salmasi, CEO of Veea. “By bringing together IoT technologies supporting RTLS, AI-powered computer vision applications with use case-specific AI-driven cybersecurity and LLM capabilities. we’re giving worksites an intelligent nervous system: real-time awareness, local autonomy, and measurable ROI. This is the first of many projects underway.”

“First and foremost, it’s accountability for us. As we work for various municipal government agencies, we must do regular reporting and certified payrolls,” said Rudy Seikaly, CEO of MCN Build. “This technology provides us with a virtual audit of all personnel on site. The real time capabilities of the system help us know at any time, where our personnel are onsite. This helps us avoid potential insurance fraud, helps us respond to any safety concerns in a much more expedient manner and assure that the right crews are working where they are supposed to be in accordance with our build out schedules.”

“At Genesys Impact we believe the future of construction depends on smarter, safer, and more connected jobsites,” said Jad Boustany, CEO of Genesys Impact. “By harnessing the power of AI through Veea Vision’s computer vision and edge intelligence, combined with Crowdkeep’s real-time workforce accountability, we are giving our clients the ability to run projects with unmatched visibility and control. This isn’t just about technology—it’s about creating safer environments, reducing risk, and driving measurable efficiency where it matters most.”

Self‑forming, self‑healing mesh provides secure IP networking and local application hosting across the site. Hubs auto‑discover each other, attach IP cameras and IoT sensors with zero‑touch onboarding, and enforce micro‑segmented policies—executed locally.

Real‑time computer vision runs on site (not in the cloud), delivering event‑to‑alert response for PPE compliance (hard hats, vests, eyewear), restricted/hazard zone entry with real-time alerts, person/vehicle detection and collision avoidance, face/person detection (optional, customer‑controlled), fire and gas detection, asset monitoring, abnormal behavior, site security anomalies and more.

Start with a single hub and add cameras and VeeaHubs to extend coverage across large or complex sites. AI models and policies replicate over the mesh, so each new node brings more compute and visibility without new cloud dependencies.

Define what matters to your operation such as PPE rules, zone boundaries, dwell times, shift schedules, asset movement and trigger custom alerts via dashboards, SMS, email, or webhooks into existing systems.

Live people & asset tracking, with Real-Time Location-based System (RTLS), is integrated into the same edge platform, so superintendents see who / what / where in one view and act instantly with both visual and event notifications.

Unified Safety & Asset Intelligence: By fusing computer vision with personnel and asset telemetry, MCN gains a holistic, real‑time picture of site activity to support safety, compliance, security, and operations from one platform.

Adapted from Veea’s field‑proven Jobsite Safety & Optimization Platform (JSOP), the deployment delivers real‑time site intelligence across three pillars:

The modular design scales via mesh, supports AI model updates, and extends to adjacent sectors (schools, hospitality, industrial facilities) where local‑first autonomy and data sovereignty are critical.