AI Model Deployment

We deploy a selected compatible model in your cloud account, prepare an interface for your application, verify inputs and outputs, and document the handover.

AI Model Deployment

We deploy a selected compatible model in your cloud account, prepare an interface for your application, verify inputs and outputs, and document the handover.

An illustration connecting a creative application with compute
An application connected to a compute module

Your model, connected

A selected model needs an environment to run in and an interface your software can use. We review compatibility and licensing, prepare the agreed deployment and test a specific task. Your application can then send an input and receive the result through the prepared API.

Ready to integrate

Your cloud account

We configure the agreed model and its weights on suitable cloud GPUs. Access and configuration are defined before deployment.

Application integration

We prepare an interface for the agreed inputs and outputs, verify a test task and document how to connect your tool.

Operational documentation

We hand over configuration, documentation and the agreed test record. Our work is priced separately from cloud provider usage.

A matching connector and interface

Compatibility first

Send us the model, a sample input and the expected output. We review licensing, hardware and the integration scope, then prepare a deployment proposal. Compute, stored weights and other provider usage are billed separately.

AILOD.

Our desktop app for working with images, video and references. Projects stay on your computer; generation uses cloud GPUs.

Explore AILOD
The AILOD account screen

FAQ

We confirm compatibility individually based on available weights, licensing, hardware requirements and intended use.

Marketing measurement

We use the Meta Pixel, Google Analytics, and Microsoft Clarity to measure visits, campaigns, and website behavior. Your consent lets us enable additional marketing measurement.