What is AI Model as a Service
Deploying AI models in-house usually requires significant resources, expertise, and infrastructure. With AI Model as a Service, businesses can instantly integrate AI/ML capabilities into their applications via a cloud-based API—without the burden of building, training, or managing models themselves.
Whether you choose Model-as-a-Service for instant deployment or Bring Your Own Model on dedicated GPUs, our confidential computing environment ensures top-tier security and compliance. Scale effortlessly, reduce costs, and focus on innovation while we handle the complexities of AI infrastructure.
Choose a Plan Based on Your Monthly Budget
You select one of three Model Unit plans, depending on how much you want to spend monthly. The higher your plan, the lower your price per model due to volume discounts. All of the models are hosted and operated in Switzerland in Phoenix data centers.
Key Features
Flexible and On-Demand
Deploy and run proprietary models tailored to specific business needs and dynamically scale with demand, optimizing your compute resources, that are fully managed.
Easy Integration and Cost Efficient
Easily integrate embedding models via a universal API with a full management stack, while reducing infrastructure expenses with pay-as-you-go pricing and managed hosting.
Security, Compliance and Monitoring
We offer robust security with built-in role-based access control (RBAC) within a technical assured environment and real-time tracking, logging, and model lifecycle management.
Full Control and Interoperability
Self govern CI/CD pipelines, model versioning, and automated deployments or build upon our support for multiple frameworks (TensorFlow, PyTorch, ONNX, etc.) and deployment options.
Choose a model, or bring your own!
Users can choose from our pre-offered models for seamless integration into their applications.
