Armada, a San Francisco, CA-based provider of a mobile edge computing platform that delivers internet connectivity, computing and AI anywhere on the planet, raised over $55M in funding.
The round was led by Founders Fund, Lux Capital, Shield Capital and 8090 Industries, with participation from Felicis, Contrary, Valor Equity Partners, Marlinspike, 137 Ventures, Koch Real Estate Investments, 8VC and a cohort of other investors.
The company intends to use the funds to accelerate its business reach.
Led by CEO Dan Wright, and Chief Operating Officer Jon Runyan, Armada provides:
- Armada Connect, which serves as the dedicated operating system for Starlink and all future IoT devices. With Armada Connect, businesses gain control over their entire fleet of Starlink deployments, encompassing enterprise-grade capabilities for observability, management and billing of all Starlink assets. The system is bolstered by the Commander AI Assistant, which offers real-time contextual alerts, diagnostics and troubleshooting support, ensuring smooth operations and quick resolution of any issues. This is complemented by access to the Armada Marketplace, which offers a curated selection of certified connectivity and IoT assets, enhancing the overall functionality and scope of Armada Connect.
- Armada Edge is the Global Command Center for Galleons, connectivity, AI applications and IoT assets. Armada’s Galleons are ruggedized, mobile and modular data centers delivering significant compute and storage capacity, coupled with resilient connectivity. Designed to support multiple data-processing and AI applications at the edge, they are customized with adequate storage, memory and high-performance computing components such as GPUs, FPGAs and multicore CPUs. They interface with local area networks and on-site assets, providing connectivity to internet-based resources via Starlink, fiber, 5G or other network infrastructures. Galleons are self-contained units, enabling rapid deployment worldwide.
- Armada EdgeAI encompasses a spectrum of generative AI, multimodal AI and real-time machine learning capabilities, tailored for designing industry-specific applications. These adaptable applications are accessible in the cloud and can be optimized for deployment on dedicated edge hardware, whether Galleons or on-premises infrastructure. EdgeAI capabilities cater to a range of industrial applications, such as real-time visual inspection, assistive agents, predictive maintenance, robotics, autonomous vehicle operations, emissions monitoring and beyond.
The company has also created a marketplace, enabling partners to develop and distribute innovative applications, and has achieved SOC2 and ISO 27001 compliance.
FinSMEs
11/12/2023