AgriLinq introduced an on-premises deployment option for ModelLinq in February 2026. It is intended for organizations that need to evaluate or run AI applications in infrastructure they own or control.
The planned deployment scope includes model and document-source management, user permissions, activity and inference records, and team collaboration. Whether data remains entirely within an internal network, which models are available, and how external services are used depend on the selected architecture and project configuration.
ModelLinq can support question-answering and knowledge applications grounded in enterprise documents, using either cloud or on-premises architecture. Before deployment, organizations can assess network boundaries, permissions, backups, updates, and operational responsibilities against their own requirements.
An on-premises deployment does not by itself establish compliance with a particular regulation or security standard. Suitability must be assessed against the organization’s policies, system design, and any required legal or security review.
Visit the ModelLinq website for current public feature and deployment information.