Custom model definitions
- Updated: 2025/06/24
Custom model definitions empower you to integrate with and leverage external generative AI models, hosted on diverse platforms in various environments, including On-Premises infrastructure, private clouds, and public cloud platforms.
Custom model APIs enable you to connect to any REST API-compatible models, giving you the ability to tap into a winder range of AI solutions.
The need for custom models
The rapid advancement of generative AI technologies has resulted in a wide range of foundational models being available, each with its own strengths and specializations. While Automation Anywhere provides a selection of pre-integrated models within AI Agent Studio, the need to leverage other models could be due to:
- Specialized models
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You have developed or acquired models trained on specific datasets or fine-tuned for unique tasks relevant to your business needs.
- Data security and residency
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Organizations with strict data security policies or regulatory requirements need to use models hosted within their own secure environments, such as on-premises infrastructure or private clouds.
- Leveraging existing investments
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Organizations that have already invested in developing and deploying AI models on platforms can benefit from the ability to integrate these models directly into their Automation Anywhere workflows.
To address these, Automation Anywhere has developed custom model APIs to define and connect to custom generative AI models. This API function by registering information about the model, including its vendor, name, authentication mechanism, input parameters, and output mapping, within the Control Room database.
