Super Intelligence (SI) Incident resolution and analysis, agents working together.
ModelGlue gives institutions a way to use multiple AI agents and model choices inside a managed research environment. The platform separates the research conversation from administrative controls so an organization can manage models, team access and workspace settings without giving the model authority over those controls.
Administrators can maintain the available model catalog and research-agent configuration. Researchers choose from the models and agents made available to the workspace rather than depending on a single permanently embedded provider.
Research workspace tools support managed team accounts, academic roles, document workflows and continuing conversations. That makes the platform suitable for departments, labs, research groups and other organizations that need a shared operating context.
AI agents can analyze, compare, summarize and reason over research context, but account administration, model availability, billing, wallet controls and other operational permissions remain separate from the model response itself.
