THE PROBLEM
With the explosion of IoT, real-time analytics and growing adoption of AI in industrial use cases, traditional centralized cloud infrastructures are overwhelmed by high data volumes and latency-sensitive applications.
WHY DISTRIBUTED EDGE MATTERS?
Placing compute and analytics closer to the data source reduces latency and network overhead.
THE SOLUTION
A Lightweight (~28 MB), Hardware-Agnostic, Fully Open-Source Distributed Edge Platform
Kubernetes Native Control Plane
Seamlessly integrate PoT ControlPlane with your existing Kubernetes cluster.
Enterprise Grade IAM
Enterprise-grade Identity and Access Management (IAM) with Keycloak.
Distributed Compute Network
Can Digital Technology Keep Us on Target?
A World Economic Forum report on Technological Transformation highlights a game-changing insight: Digital technology can cut global emissions by 15%. The challenge is clear—enterprises must modernize their infrastructure to drive sustainability and stay ahead in an era of climate-conscious innovation.
Cloud-Centric Doesn’t Mean Intelligence-Centric
The cloud has revolutionized data center management and software development, but when it comes to next-gen AI applications, speed is everything. Sub-millisecond latency is the new benchmark, and the "Cloud-Only" approach falls short. That’s why Edge Computing is the next frontier—powering real-time AI, industrial automation, and mission-critical applications where every millisecond counts.
A New Era of IIoT, A New Set of Challenges
As enterprises race to transform physical assets into intelligent machines, the complexity skyrockets. Heterogeneous infrastructure, fragmented networks, and hardware dependencies create barriers to scalable AI-driven automation. The solution? Abstracting complexity. A modern IIoT ecosystem must eliminate infrastructure friction, unify intelligence development, and seamlessly connect hardware, networks, and AI applications—delivering agility, security, and performance at scale.
Industries
Smart City
Modern cities rely on real-time data to manage traffic, public safety, and environmental conditions.
By leveraging Datasance PoT at the edge, municipalities gain instant insights and automated responses, reducing congestion and enhancing citizen well-being. Our solution seamlessly integrates with existing infrastructures, bridging multiple device types to deliver advanced analytics and timely insights.
Utility (Energy, Electricity, Water, Gas)
Utilities demand robust, real-time monitoring to detect leaks, manage consumption peaks, and prevent outages
Datasance PoT processes data at the edge, enabling faster response times and improved resource allocation. Our platform simplifies integration with existing networks, helping providers maintain reliable, sustainable operations.
Manufacturing
Manufacturers need speed, precision, and agility to maintain quality and productivity on the factory floor
Datasance PoT enables AI-driven anomaly detection and predictive maintenance at the edge, reducing downtime and maximizing throughput. The platform easily integrates with legacy systems, accelerating digital transformation without disrupting established workflows.
Logistics
Logistics operations depend on real-time visibility into shipments, fleet status, and warehouse inventories.
Datasance PoT processes sensor data at the edge for instant insights, enabling faster decision-making and optimized routes. Its modular architecture connects seamlessly with diverse IoT devices, streamlining the entire supply chain from warehouse to last-mile delivery.
CCAM (Connected, Cooperative, and Automated Mobility)
CCAM solutions rely on sub-millisecond latencies for vehicle-to-infrastructure communication and safe autonomous operation.
With Datasance PoT’s distributed edge computing, real-time data processing ensures smoother traffic flow, reduced congestion, and enhanced passenger safety. Our solution powers advanced mobility use cases—from smart traffic lights to autonomous fleet coordination.
