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Alkimi AI

Curriculum-Grounded AI for Higher Education

Faculty define what assistants know and how they teach. Students get course-aligned guidance. Institutions set data, model, and access controls.

Showing the Number Theory example Number Theory

Built With Educators, for Institutions

The platform grew from concrete classroom and campus problems faculty and administrators face when students turn to generic AI.

Curriculum Grounding

Grounded in the Materials You Choose

Generic AI gives confident answers with no connection to what is actually taught. Alkimi agents are anchored to the materials you choose: lecture notes, textbooks, syllabi, handbooks, and policy documents.

  • Upload documents, add text, or pull in website content to build a trusted knowledge base.
  • Agents can use selected materials and follow the notation, terminology, and instructional context provided.
  • Answers render what each field needs: LaTeX equations and proofs, code listings, data tables, and quoted source passages.
Pedagogy

Configure Guided, Socratic Responses

Learning requires productive struggle. Instructors can configure Alkimi agents as Socratic tutors that ask probing questions, point students to relevant material, and resist requests for final answers.

  • Instructors can configure agents to resist final-answer requests and guide students through their reasoning.
  • The instructor sets the rules: how much to reveal, what to reference, and how to respond off-topic.
  • Pedagogically designed templates provide a configurable starting point.
Governance

Institutional Guardrails, Faculty Autonomy

Institutions set baseline controls for data, models, and access. Faculty configure course materials and assistant behavior within those boundaries.

  • Administrators control model availability, privacy rules, and access from one dashboard.
  • Workspaces and role-based permissions organize departments, courses, and staff cleanly.
  • Share agents by link or use an external website embed where the destination environment supports it.

Security and Privacy, Documented

Alkimi documents how customer content is stored, processed, shared, and deleted. Institutions remain custodians of student education records, while users control explicit sharing.

No model training on your data
TLS 1.2+ in transit and AES-256 at rest
  • Private by Default

    Chats and materials are private by default. Sharing requires an explicit choice.

  • Data Ownership & Controls

    Institutions remain custodians of student records; access follows roles and permissions.

  • Encryption

    TLS 1.2+ protects data in transit, and AES-256 protects data at rest.

  • Access & Identity

    Role-based permissions, Google and Microsoft SSO, and MFA controls.

Frequently asked questions

Questions about Alkimi

Learn how Alkimi handles grounding, teaching controls, access, security, and getting started.

General-purpose assistants begin with broad model knowledge and general conversational behavior. Alkimi combines selected course or campus materials with teaching instructions, safeguards, model controls, permissions, and usage reporting for higher education. Faculty configure what their agents know and how they respond, while administrators enforce organization-wide model, access, and sharing policies.

Ready to bring curriculum-grounded AI to your campus?

Start with a secure workspace, or talk with our team about institution-wide use cases, governance, and rollout.