Barbara

At InnoVerse 2025 in Hyderabad, Barbara joined Tech Mahindra and global industry leaders to spotlight the rise of Edge AI as a megatrend in industrial transformation. As enterprises race to operationalize AI at scale, Barbara is helping lead the charge, building a collaborative Edge AI Ecosystem that will accelerate the adoption of AI in Industry.

As industries seek faster insights and real-time responsiveness, Edge MLOps (Machine Learning Operations at the Edge) is emerging as a game-changer. Unlike traditional MLOps that rely on centralized cloud infrastructure, Edge MLOps enables machine learning models to be deployed, monitored, and retrained close to the data source.

The project showcases the benefits of substation virtualization, which enables real-time monitoring, AI-driven fault detection, improved security planning, and cost-effective upgrades. At the core is Barbara’s Edge Node, capable of processing 4,000 signal samples per second and capturing event-triggered data using GOOSE connectors, mirroring the functionality of a physical oscilloscope, remotely and securely. Learn more in the following article.

Barbara, the leading Edge AI Orchestration Platform, has been named by STL Partners as one of the Top 50 Edge Computing Companies to Watch in 2025, marking its third consecutive year and reinforcing its position as a global leader in Edge Computing and Edge AI.

Discover how GS-Inima seamlessly connects its OT systems with its central IT platform (SAP) by deploying applications at the Edge while centrally managing, updating, and securing all devices and apps from a single interface.

Edge Computing and DataOps are different, and they’re most effective when used together. But by starting with a secure, flexible, and robust edge computing platform like Barbara, industrial companies can create a future-proof foundation that supports any DataOps toolset, avoids vendor lock-in, and is ready to scale into the next generation of intelligent industrial systems.‍

The Oil & Gas industry is embracing AI, automation, and digitalization, but deploying these technologies remains a challenge. Harsh environments, connectivity issues, and massive data volumes make traditional cloud-based AI solutions impractical. In this post, we dive into the challenges of data processing in Oil & Gas and how the Barbara Edge AI Platform delivers a robust, scalable, and secure solution tailored for the industry.

Unlike conventional AI models that rely on cloud computing, Edge AI processes data locally, enabling real-time decision-making, minimizing latency, enhancing security, and reducing operational costs. This technology is already driving greater efficiency and autonomy in industrial settings. In this webinar, we discuss the biggest challenges and solutions to fully harnessing the power of AI at the Edge.

Product servitization has been around for nearly 30 years, but what is different today is the inclusion of emerging and enabling technologies like IoT, Edge Technologies and AI to support the transition from user-owned to provider-owned assets that are wrapped with asset life cycle services.

For years, CORREA relied on traditional IoT platforms to monitor its machines, but limitations soon became clear. Data access was restricted, and whenever connectivity was lost, valuable insights disappeared. Worse yet, machine data was stored in a vendor’s cloud, leaving CORREA without true ownership or control. With the adoption of Barbara’s Edge AI platform, CORREA achieved 1) Real-Time machine monitoring 2) Data governance & sovereignty 3) Greater flexibility and 4) Remote control of their machines. Learn how.

In the highly regulated pharmaceutical industry, GxP compliance is essential for product quality, safety, and efficacy. As regulatory landscapes continue to evolve, pharmaceutical companies must embrace digital transformation to remain compliant and competitive. Barbara’s Edge AI Platform not only help organizations meet GxP compliance but also enhance efficiency, reduce costs, and accelerate innovation.

Enerclic, a leader in energy monitoring and control, needed a scalable and secure edge solution to manage its growing fleet of remote devices efficiently. The goal was to improve deployment processes, strengthen cybersecurity, and grant clients greater autonomy in managing remote assets. Discover how they managed to streamline operations and meet the highest industrial cybersecurity standards.