NexaRob News/News

Certis and FieldAI are forming a partnership in the field of autonomous robotics for security at real-world facilities.

On February 23, 2026, Certis Group from Singapore and FieldAI from the USA announced a strategic partnership aimed at scaling up the use of autonomous robots in real-world security operations. The joint initiative is designed to enable the integration of robots with human teams and management systems in complex environments such as infrastructure.

On this page

Partnership for real-world operations

Concluded on February 23 in 2026 The partnership between Certis Group and FieldAI aims to accelerate the deployment of autonomous robots in complex, real-world security environments. This is not about demonstrations or lab tests - the decision concerns scaling solutions across multiple locations worldwide. Both companies emphasize that the key to success is not only advanced technology but also the ability to integrate with existing operational systems and human teams.

Certis, a leader in Singapore, specializes in integrated solutions for security, facility management, and workforce management. Its Mozart™ platform is used to coordinate robots, people, and operational processes in real time. FieldAI, on the other hand, offers autonomous software based on Field Foundation Models™, which allows robots to operate without the need for pre-prepared maps or routes. This is a key difference from many existing solutions.

Mapless technology - operating in dynamic conditions

FieldAI solutions are based on advanced AI models that enable robots to independently adapt to new environments. The software does not require pre-programmed routes or maps - the robot learns in real time and shares its acquired knowledge with the entire fleet. This allows for rapid deployment of systems even in places where it was not possible to prepare supporting infrastructure.

In the context of security, this means the ability to quickly deploy patrol robots in new facilities - e.g., in transport areas, industrial sites or hard-to-reach places. The system does not require lengthy preparations, which reduces costs and deployment time. Cooperation with Certis is intended to enable the use of this flexibility on a global scale, especially where there is a shortage of staff or operations are under pressure.

Scaling without compromising security.

The assumption of the partnership is not only to scale the number of robots but also to ensure their safe operation in real-world conditions. Both companies emphasize that safety and responsibility are paramount - especially when robots operate in public environments or critical infrastructure.

Joint activities also include the development of operational frameworks, staff training and security validation. This means that it is not only about technology, but about a comprehensive operational model in which robots support people, rather than replace them. The primary goal is to improve efficiency - e.g., by automating routine patrols - allowing security teams to focus on analyzing situations and making critical decisions.

Scope of applications and future prospects.

computer operating system with Mozart™ interface
Scope of applications and future prospects - illustrative visualization.

Initially, the partnership focuses on applications in the field of security - patrolling, real-time incident detection, remote monitoring. However, both companies emphasize that this is only the beginning.

In the future, expansion to other areas is planned: technical inspections, monitoring of facility conditions, and resource management in the field. The joint activities also include the development of standards and operational frameworks for safe scaling. FieldAI has opened an office in Singapore - this signals that the initiative is long-term and aimed at the Asia-Pacific and Middle East markets.

Does this mean a mass deployment of robots?

No. Although the partnership is scalable, it cannot be treated as a declaration of mass robot deployment. There is no information in the documents about specific projects, numbers of devices, or implementation dates. Instead, it speaks of building an ecosystem - technology, management systems, and operational models that can be used in the future.

It is worth emphasizing that there is no evidence confirming that robots are already operating in real-world operations. Everything is based on company statements and plans. FieldAI will participate in ISC West 2026 - this is a technology event that may showcase prototypes or demonstrations, but it does not confirm deployments.

It is worth emphasizing that although the partnership does not yet mean mass deployment, its significance lies in building the foundations for future solutions. The integration of FieldAI's technology with Certis' Mozart™ platform enables the creation of flexible, secure, and scalable operational systems that can be quickly adapted to different conditions - from transport zones in large cities to hard-to-reach industrial areas. A key advantage is not only the ability to operate without maps but also the ability to continuously learn and optimize across the entire fleet of robots. This opens the way for increased operational efficiency, reduced maintenance costs, and improved real-time incident response. In the context of global challenges related to staff shortages in the security sector, such solutions may become an important tool to support human work, rather than replace it.

Editorial transparency

Sources and reference materials

The article was developed by NexaRob based on an analysis of available source materials. The following materials were used to verify information and expand the context.

1source material
0original
1publicly shown
  1. Online sourceInformation verification

    Certis and FieldAI Form Strategic Partnership to Deploy Autonomous Robotics in Real-World Security Operations | News | FieldAI

    FieldAI - Newsfieldai.com

How to read this section? Sources are materials used during research and verification. The article is an original NexaRob report, not a reprint of the indicated publications.

Further context

Related NexaRob pages

Solutions, technologies and materials from NexaRob related to the topic of this article.

Share the material
Go to sources.
English (United States)EN-US