ATOM construction inspection technologies LTD

ATOM

Israel

Since

2023

Atom is a real time construction supervision software using AI, crane mounted cameras and drones

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reduced project budget 3% / reduction in reconstruction cost

improved safety violation by 5 times in 6 months

reduced 2% of the rebars’ weight per floor due to a precise calculation of the overlaps in the construction site

Solution Overview

for

Public owners / contracting authorities, Private developers, General contractors, Designers / engineers / consultants

Manual supervision of construction sites creates several important problems. Supervisors cannot continuously monitor every area of a site, especially on large and busy projects. As a result, safety violations, construction mistakes, and deviations from the plan can be missed or detected too late. Human error and limited attention can also lead to incorrect or incomplete reporting. When a safety violation happens, the information may not reach the right person immediately, which can increase the risk of accidents. These problems can also cause delays, rework, poor coordination, and additional costs. Overall, relying only on manual supervision makes it difficult to have continuous and reliable control of what is happening on the construction site.

Our Solution:

Our product is a software platform for autonomous digital supervision of construction sites. The platform continuously analyzes the site to identify safety issues, construction deviations, and mistakes. It detects what is different from what was planned and shows the identified issues clearly to the site team. The platform also prioritizes the deviations based on their level of importance, so teams can focus first on the most critical problems. Safety violations can generate alerts and be documented with reports and recordings. In practice, the platform helps construction teams monitor their sites more continuously, avoid missing important issues, react faster, and improve the efficiency of supervision and reporting.

How it works:

Our solution is innovative because it combines a very high level of accuracy with continuous and autonomous site supervision. We aim for millimetric-level detection, while existing solutions generally focus on deviations of a few centimeters. This level of accuracy is especially important for reinforcement bars, where small differences can matter, such as detecting whether a rebar is 14 mm or 16 mm.
Another key advantage is our use of crane-mounted cameras instead of relying only on drones. The camera can continuously scan the construction site and provide more immediate supervision without requiring a drone operator.

AI-powered, crane-mounted computer vision system for automated real-time site inspection and QC

Classification & Use Cases

Lifecycle stage(s) addressed:

Planning & design (BIM, design tools, permitting, simulation, etc), Preconstruction & procurement (estimating, tendering, supply chain, marketplaces), Construction execution (field management, robotics, drones, logistics, site monitoring, QA/QC, safety), ESG & sustainability (carbon tracking, LCA, energy optimization, circularity), Project management

Core technology types:

AI / machine learning, IoT / sensors / hardware (smart devices), Drones, Cloud / SaaS platform, Fintech / insurtech applied to construction / real estate

Key use cases in practice:

One example is a construction project where the lap splices between the top reinforcement bars were incorrectly placed above a column. Without ATOM, the problem could have been discovered only after the concrete was poured. At that stage, fixing the issue would have required significant additional work and could have caused an estimated 3–10 working days of delay and high additional costs. ATOM detected the deviation before the concrete was poured, allowing the construction team to correct it early. This prevented costly rework, reduced delays, and saved both time and money.

On a construction project, the positions of pipes inside a wall were different from the approved plan. ATOM detected the deviation within just 2 hours, before the concrete was poured. Without ATOM, the problem might only have been discovered after the concrete work was completed, making the correction much more difficult and costly. Thanks to ATOM’s early detection, the construction team was able to identify and correct the issue immediately. This prevented potential rework, delays, and additional costs, while saving time and improving the efficiency of the construction process.

Maturity & Traction

Stage

Growth (11–100 customers)

Customers

Regions

East Asia and Pacific (EAS), Middle East, North Africa, Afghanistan and Pakistan (MNA / MEA), North America (NAC)

Main:

United States, Israel, Singapour

Team

6–15

employee(s)

Impact & SDGs

Contribution to any of the 17 Sustainable Development Goals:

Quality Education, Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Responsible Consumption and Production, Life on Land

Quality Education: ATOM helps construction teams learn from detected mistakes and deviations, improving knowledge and awareness on construction sites.

Industry, Innovation and Infrastructure: ATOM brings autonomous digital supervision and AI-based analysis to construction, helping improve the quality, safety, and efficiency of infrastructure projects.

Sustainable Cities and Communities: By detecting construction problems early, ATOM helps reduce delays, rework, and construction errors, contributing to more efficient and reliable urban development.

Responsible Consumption and Production: Early detection of deviations helps avoid unnecessary rework, material waste, and additional use of resources. ATOM helps teams use materials and time more efficiently.

Life on Land: More efficient construction can reduce unnecessary material use, waste, and the environmental impact associated with repeated construction work and rework.

Main impact areas

Productivity / cost efficiency, Quality & defects reduction, Resilience / adaptation

Tom Cohen

CEO

Team & Organization

Founding team:

1. Tom Cohen — Founder & CEO Background: Entrepreneur and construction technology professional with experience building ATOM from the ground up. Relevant experience: Founder and CEO of ATOM, leading the company’s strategy, product vision, customer relationships, and business development. He has worked closely with construction teams and industry partners to develop and deploy ATOM’s autonomous construction supervision technology. LinkedIn: https://www.linkedin.com/in/tom-cohen1993?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Liza Honcharuk — Head of Engineering Background: Software engineer and engineering leader with experience developing ATOM’s construction technology platform. Relevant experience: Head of Engineering at ATOM, leading the engineering team and the development of the software and technology behind the platform. She works on turning ATOM’s computer vision and site-monitoring capabilities into a reliable product for construction teams. ATOM identifies her as Head of Engineering. LinkedIn: https://www.linkedin.com/in/liza-honcharuk?utm_source=share_via&utm_content=profile&utm_medium=member_ios

Sagiv Yaari — Head of Artificial Intelligence Background: AI and machine learning specialist focused on computer vision and AI applications for construction. Relevant experience: Leads the AI development at ATOM, working on the computer vision and machine-learning systems that analyze construction-site data and detect deviations with high accuracy. ATOM lists him as its AI Lead. LinkedIn: https://www.linkedin.com/in/sagivya?utm_source=share_via&utm_content=profile&utm_medium=member_ios

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ATOM construction inspection technologies LTD