You can trial or buy our technology via Virtual Appliances currently deployed in AWS (with access to Nvidia GPUs) and GCP (with access to Nvidia GPUs) and we’re working to deploy in Azure (with access to Nvidia GPUs) as this content is being written. If your workload uses GPU-accelerated document or image processing, we include GPU in your Virtual Appliance for additional cost.
| Subscription Tier | Description | Hosting | Meters | Pricing |
| Public | Trial / Minimal, in container | Public-shared | Meter-limited | From $20 / month |
| Hosted (Shared) | Technical / Intermediate, in VM | Hosted-shared, Managed | Meter-pay-for-use | From $40 / month |
| Hosted (Dedicated) | Trail-blazer / Advanced | Hosted-dedicated, Managed | Metered-unlimited | From $80 / month |
| On-Premise | Most specialized and customized | Private | Contact us for details | Contact us for pricing |
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We’re offering Enterprise customers the option to deploy (hosted-dedicated) in-house on their own infrastructure but only as VM appliance, and by binding contract to protected our Intellectual Property rights (our code, not yours)
(1) We will allocate you a shared container into which you can deploy your choice of programming language code – performance is not guaranteed.
(2) We will allocate you a shared container/VM into which you can deploy your choice of programming language code – every effort will be made to ensure the infrastructure is not overcommitted, including moving heavier users to their own (shared) container. Heavy users may have their performance capped.
(3) We will allocate you a dedicated VM appliance, but you will not get O/S credentials.