Veea and Genesys Impact have launched a self-forming, self-healing mesh that brings cameras and IoT onto an edge platform to improves safety on construction sites.

The on-site AI safety and asset intelligence platform for MCN Build provides alerts with no cloud required; it is said to be a blueprint for connected, intelligent worksites.

Safety incidents, delays and equipment loss cost the global construction sector hundreds of billions each year. Against that backdrop, New York firm Veea and Washington DC-based systems integrator Genesys Impact have 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 towards multi‑billion‑dollar adoption, this signals how modern worksites could operate going forward.

The project is the first to unify the Crowdkeep people and asset tracking technology assets acquired by Veea, with Veea’s MetaLynx smart construction offering 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 of data collection at construction sites for construction companies and subcontractors is data sovereignty and privacy that the VeeaOne platform is capable of maintaining at the edge without compromising the quality of video and data analytics. VeeaOne’s integrated AI-driven cyber security, for data-at-rest and data-in motion for smart construction, addresses one major shortcoming compared with other offerings. With a tsunami of AI-driven cyber attacks, it is crucial to recognise that connected assets with multiaccess technologies, digital project management tools and IoT-enabled equipment make construction projects 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 use of people and equipment without the latency, privacy, cyber security or dependency risks of cloud‑only systems.

“We are thrilled to have partnered with Genesys and MCN Build on the first-of-its-kind AI-powered end-to-end option for smart construction we have deployed in Frederick, Maryland,” said Allen Salmasi, CEO of Veea. “By bringing together IoT technologies supporting RTLS, AI-powered computer vision applications with use case-specific AI-driven cyber security 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.”

Rudy Seikaly, CEO of MCN Build, added: “First and foremost, it’s accountability for us. As we work for various municipal government agencies, we must do regular reporting and certified payrolls. 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.”

And Jad Boustany, CEO of Genesys Impact, said: “At Genesys Impact we believe the future of construction depends on smarter, safer and more connected jobsites. 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.”

A 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 on hard hats, vests and eyewear, restricted hazard zone entry with real-time alerts, person and vehicle detection and collision avoidance, face and person detection, fire and gas detection, asset monitoring, abnormal behaviour, site security anomalies, and more.

Users can start with a single hub and add cameras and hubs 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. They can define what matters to their operation such as PPE rules, zone boundaries, dwell times, shift schedules and asset movement, and trigger custom alerts via dashboards, SMS, email or webhooks into existing systems.

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

Veea (www.veea.com) formed in 2014 and headquartered in New York, specialises in smart edge connectivity, computing and edge AI for enterprise and public infrastructure.

Genesys Impact (www.genesysimpact.com), headquartered in Washington, DC, is a consulting firm delivering technology services across cloud, network infrastructure and digital transformation. The company serves public and private sectors with a client-centric approach that emphasises strategy, innovation and measurable outcomes.

MCN Build (www.mcnbuild.com) is a Washington DC-based construction company dedicated to empowering global communities with sustainable projects.