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Edtech

Katara for education teams that want helpful AI experiences grounded in approved knowledge, safe tools, and student-data controls.

In education, data privacy and institutional trust are paramount. Edtech teams need AI experiences that help students, families, faculty, and staff without exposing student records or drifting away from approved institutional guidance.

Katara provides the control plane for educational AI, ensuring that every interaction is safe, grounded, and aligned with institutional goals.

The Katara Governance Framework for Edtech

Katara secures the educational AI experience through four core components:

  • AI Knowledge Base (institutional grounding): Ground answers in approved curriculum materials, student handbooks, district policies, help center content, and campus resources.
  • AI Gateway (safe AI access): Manage AI usage with access rules, sensitive-data checks, budget controls, and visibility into how AI is being used.
  • MCP Registry (approved educational tools): Allow AI to use only authorized tools and actions, such as LMS lookups, ticket creation, or approved administrative workflows.
  • Shared Memory Layer (safe learning continuity): Preserve helpful context, such as a student's support history or a staff member's open task, while controlling what can be remembered and reused.

Automation Idea Starters

Enhance the learning experience with governed AI:

  • Student success assistants: Answer questions about assignments, deadlines, campus resources, financial aid steps, or support services using approved institutional content.
  • Faculty and staff support: Help staff find policies, prepare communications, summarize open requests, or draft next steps without exposing unrelated student data.
  • Admissions and enrollment guidance: Guide prospective students or families through requirements, dates, and forms using vetted information and approved follow-up actions.
  • Administrative workflow automation: Create help desk tickets, route forms, prepare reminders, or update approved systems through controlled tool access.
  • District or institution review: Maintain visibility into what AI accessed, what sources informed an answer, and which automated actions were taken.