Frequently Asked Questions
Custom generative AI is trained on your organization’s unique data, enabling it to produce outputs specific to your workflows, language, and goals — unlike general AI tools that rely on public datasets and broad use cases.
Yes. Industry-specific models can be fine-tuned with domain-relevant data, allowing them to understand specialized terminology, regulations, and task workflows with greater accuracy.
Custom AI can handle repetitive tasks such as generating reports, responding to emails, processing forms, or creating product descriptions — freeing up teams for more strategic work.
Training requires structured and unstructured data from your business — such as documents, emails, chat logs, or support tickets — which helps the model learn how your operations and communication work.
When deployed with proper safeguards like encrypted storage, on-premise hosting, and strict access controls, custom generative AI can support secure use cases including internal document processing or customer service.
