Effortlessly deploy Computer Vision models and workflows
Transition seamlessly from prototype to a ready-to-use endpoint API without the hassle of setting up and maintaining a complex infrastructure.
All AI engineers and data scientists can deploy their solutions without any prior MLOps experience.
Don’t waste time creating a new technical team when you don’t have to.
The Beta version of the SCALE is launching on October 5th. If you haven’t enrolled for the Beta, official launch will probably occur in the beginning of 2024. Signup to our monthly newsletter to stay informed.
Ikomia SCALE is tailored for organizations seeking to deploy Computer Vision solutions without the need to create and manage computing infrastructures. Whether you lack the resources for infrastructure management or simply prefer a hassle-free approach, Ikomia SCALE is designed to meet your needs.
You can deploy Ikomia workflows, which are JSON files created with Ikomia STUDIO or API. These workflows are constructed using state-of-the-art (SOTA) algorithms packaged to be mutually compatible.
We currently use AWS solutions, with plans to integrate Scaleway and Google Cloud Platform (GCP) in the near future.
Our Beta version currently offers serverless infrastructure (CPU) through AWS. However, we are working on introducing CPU/GPU instances to our platform soon, with the goal of providing scalable CPU and GPU deployment options.
You can push your workflows through Ikomia CLI, our open source Python API or Ikomia STUDIO, the desktop application.
Each workflow is deployed in a secure private environment, only accessible by a protected online endpoint.
You will pay per image for serverless infrastructure and per hour for CPU/GPU instances. Future prices are not yet finalized but will be competitive compared to existing deployment plans.