OnDemand is an advanced Platform as a Service (PaaS) that empowers users to integrate AI seamlessly into their existing systems. Utilizing RAG AI technology, it facilitates real-time interactions between AI applications and internet-connected devices. This platform supports a myriad of IoT plugins, enabling businesses to build, manage, and deploy AI solutions effortlessly. Whether for automation or enhancing user experiences, OnDemand offers the tools required for forward-thinking operations in any industry.

SPEAR (Scalable Platform for Edge AI Real-Time) is designed to manage the full lifecycle of AI inference at the edge. Developers can define streaming pipelines that ingest sensor data, videos, or logs via connectors to Kafka, MQTT, or HTTP sources. SPEAR dynamically deploys containerized models to worker nodes, balancing loads across clusters while ensuring low-latency responses. It includes built-in model versioning, health checks, and telemetry, exposing metrics to Prometheus and Grafana. Users can apply custom transformations or alerts through a modular plugin architecture. With automated scaling and fault recovery, SPEAR delivers reliable real-time analytics for IoT, industrial automation, smart cities, and autonomous systems in heterogeneous environments.

Miros is a leading provider of advanced radar-based technology designed for precise monitoring of ocean surfaces. Their products offer real-time data on sea state, wave height, and weather conditions, utilizing IoT solutions and cloud-based data analytics. This technology is invaluable for maritime operations, infrastructure safety, and environmental monitoring, ensuring enhanced situational awareness, optimized decision-making, and operational efficiency.

Open ACN is a robust AI platforms and frameworks solution designed for building decentralized multi-agent systems. It offers a suite of consensus protocols tailored for agent cooperation, ensuring reliable decision-making across geodistributed nodes. The framework includes modular communication layers, customizable strategy plug-ins, and a built-in simulation environment for end-to-end testing. Developers can define agent behaviors, deploy across Linux, macOS, Windows, or Docker, and leverage real-time logging and monitoring tools. By providing extensible APIs and seamless integration with existing machine learning models, Open ACN simplifies complex orchestration tasks, fostering interoperable, resilient autonomous networks suitable for applications in robotics, supply chain automation, decentralized finance, and IoT.