Research-to-production platform
The platform is presented as a full-stack environment for open superintelligence, connecting research output to production deployment.
Zyphra is an AI platform for open models, agentic workflows, and long-context inference, giving teams more control over models, infrastructure, and deployment.
Zyphra is an AI company that describes itself as building the full-stack for open superintelligence. The site splits the product into Zyphra Research, which develops open foundation models and systems research, and Zyphra Cloud, which brings those capabilities into a production platform for developers, enterprises, and frontier AI hyperscalers.
Zyphra Cloud is positioned as a platform for advanced AI systems, with a focus on long-horizon agents, inference, compute, and agent environments. The company says its approach is designed to give organizations sovereign control over AI with transparency, safety, and alignment, while keeping models, infrastructure, and hardware open.
Zyphra Research focuses on open models and new architectures for long-context reasoning, long-term memory, continual learning, multimodal learning, and silicon performance. The site frames the company as a loop between research and delivery: research advances the frontier, and the cloud platform packages that work for real-world use.
The platform is presented as a full-stack environment for open superintelligence, connecting research output to production deployment.
Zyphra Cloud is described as a platform for advanced AI systems with support for search, chat, agentic workflows, model and tool orchestration, and agent environments.
The cloud offering includes Zyphra Inference for long-context models and long-horizon agentic workloads, with serverless inference and dedicated inference capacity.
The site highlights compute and infrastructure capabilities such as distributed training, large-scale simulation environments, GPU clusters, bare metal orchestration, and dedicated capacity.
Zyphra Research focuses on open foundation models built on novel architectures and trained on heterogeneous compute, with emphasis on intelligence efficiency and silicon performance.
The company says its research spans long context reasoning, long term memory, continual learning, multimodal world models, and hardware-aware optimization.
Teams building agentic products can use Zyphra Cloud for search, chat, tool use, and orchestration when the workflow needs multiple steps rather than a single prompt-and-response interaction.
Organizations running long-context or long-horizon workloads can use Zyphra Inference, which is described as optimized for large open models and agentic systems.
Developers and infrastructure teams can use the platform’s compute, GPU cluster, and bare-metal orchestration options to support training, simulation, or dedicated deployments.
Researchers and model teams can follow Zyphra’s published work on architectures, multimodal models, and silicon performance as a signal for the kinds of systems the company is building.
Enterprises that want greater control over their AI stack can evaluate Zyphra for a more open approach to models, hardware, and deployment ownership.
Zyphra is positioned as a full-stack platform for open superintelligence, with separate Zyphra Research and Zyphra Cloud offerings. The site presents it as a fit for organizations that want sovereign control over AI rather than relying on a closed system.
The site describes Zyphra Cloud as a full-stack AI platform designed for advanced AI systems, with a focus on long horizon agents. It includes agent workflows, inference, compute, and agent environments.
Zyphra Research develops open foundation models and investigates architectures for long context reasoning, long term memory, continual learning, multimodal models, and silicon performance.
The site does not list pricing details. The pricing URL currently returns a page not found message, so plan structure and commercial terms are not visible from the provided sources.