Multi-Agent Role-Play
LangGraph-powered conversational agents with branching narratives. Academic staff author scenarios, define personas, and set evaluation criteria without supplier involvement.
Lot 1Simulation
Enterprise AI · Australian Universities
The AI learning platform, purpose-built for higher education.
An enterprise SaaS platform addressing university learning and teaching through four capability lots — immersive simulation, personalised learning, formative feedback, and staff-facing content creation — with full LMS integration, enterprise SSO, and Australian data residency.
AU Data ResidencyNo Model TrainingAzure AD SSO (Planned)Canvas LTI 1.3 (Planned)
Fig. 01
One campus of capabilities — simulation, learning support, writing feedback, and content creation in continuous motion. Drag to rotate.
Designed for every faculty and discipline
HealthLawEducationScienceEngineeringBusinessCreative IndustriesArtsGraduate ResearchFoundation Studies
Capability Lots
Four capability lots, one platform.
Purpose-built to address university learning and teaching use cases — from immersive role-play to staff-facing content creation. Select a lot to inspect it.
Lot 1
Conversational and multimodal AI agents for skills practice. Clinical consultations, legal interviews, communication scenarios, journalism role-plays, and oral assessments in safe, repeatable environments. Academic staff author their own scenarios with branching narratives and evaluation rubrics.
Scenario AuthoringMulti-turn AIOral AssessmentHuman-in-Loop
Clinical Patient ConsultationNursingReady
Client InterviewLawReady
Media Crisis PRCommunicationsReady
Lot 2
At-scale AI assistants and study companions providing adaptive support, concept clarification, course navigation and on-demand explanation across all disciplines. RAG-grounded in LMS course materials with full source attribution. Configurable knowledge boundaries between approved content and general knowledge.
LMS-Grounded RAGSource AttributionAdaptive Support24/7 Available
Explain the concept of tort law with examples from this week's reading.
Based on your Week 4 reading (pp. 112–118), tort law covers civil wrongs…
Source: Course Textbook, p. 112
Lot 3
Rubric-aligned feedback on student drafts and pre-submission writing support. Academic staff configure rubrics per assessment. Students receive paragraph-level annotations, actionable suggestions, and draft comparison — all formative, never grading. Supports academic integrity through transparent, non-summative use patterns.
Rubric-AlignedParagraph AnnotationsDraft ComparisonFormative Only
Argument Structure4/5
Evidence & Sources3/5
Critical Analysis4/5
Academic Writing3/5
“Strengthen your thesis statement — consider situating your argument within the broader scholarly debate on this topic.”
Lot 4
Staff-facing tools that accelerate the design of learning activities, assessment items, agent orchestration and multi-format media content. Academics independently create AI assistants, upload course resources, configure prompts, define learning activities, and manage course-specific AI experiences without supplier involvement.
AI Agent BuilderActivity DesignerMedia GenerationStaff Self-Service
AI Tutor for LAW101Course AgentActive
Week 4 Quiz — Tort LawAssessmentDraft
Clinical Interview PracticeScenarioPublished
Platform
Enterprise AI that delivers.
Built for institutional scale, academic integrity, and responsible AI governance — across every faculty and discipline.
8 AI interaction modes
6 research-backed quiz modes
4 capability lots
LMS-Grounded RAG
Every AI response cites the exact course content it came from. Hybrid general-knowledge + approved-content mode with full source attribution.
Lot 2Learning Support
Rubric-Aligned Feedback
Formative feedback against faculty-defined rubrics. Paragraph-level annotations, draft comparison, and academic staff review workflows — never grades.
Lot 3Writing
Staff Self-Service
Educators independently create AI assistants, upload resources, configure prompts, define learning activities, and manage course-specific AI experiences without supplier involvement.
Lot 4Content Creation
FSRS-5 Spaced Repetition
Industry-leading spaced repetition algorithm powers adaptive flashcards and knowledge retention. Optimal review intervals based on individual performance data.
ProvenAlgorithm
Governance by Design
Multi-layer content filtering, configurable guardrails, immutable audit logs, and human-in-the-loop review. Australian data residency. Contractual no-training-on-university-data.
Built-inCompliance
LTI 1.3 + Enterprise SSO
Canvas LTI 1.3 integration and Azure AD SSO are on our roadmap (Q4 2026–Q3 2027). Planned to support course context passing, role mapping, and user lifecycle management.
PlannedRoadmap
AU University Ready
Built for the Australian higher education landscape. Meets university requirements for academic integrity, privacy, security, data sovereignty, and records management.
AUHigher Ed
Implementation
Three steps to deploy.
From integration to institution-wide roll-out.
Step 01
Configure & Integrate
Connect your LMS via LTI 1.3, configure Azure AD SSO, set up data residency, and define governance guardrails. We handle the integration — your IT team configures the policies.
Step 02
Empower Staff & Students
Academic staff create AI agents, upload course materials, define rubrics, and author scenarios. Students access personalised AI support, role-play practice, and writing feedback — all within existing workflows.
Step 03
Monitor & Improve
Track usage, review audit logs, measure learning outcomes, and refine AI guardrails. Full reporting and analytics for institutional oversight and continuous improvement.
Governance
Governance by design.
Multi-layer content filtering, configurable guardrails, audit logging, and human-in-the-loop provisions. Australian data residency for data at rest with contractual safeguards against use of university data for model training.
AU Data ResidencyNo Model TrainingImmutable Audit LogsUsage Metering
Four protective layers
01
Input Pre-filter
PII, off-topic queries, and assessment integrity violations blocked before they reach the model.
02
Source Grounding
RAG-only mode anchored to approved LMS content, with configurable knowledge boundaries.
03
Output Validation
Harmful content filtering and enforced source attribution on every response.
04
Human Review
Academic staff approval workflows with the ability to review and override AI outputs.
Why Campus AI
The new standard for university AI.
Six ways Campus AI leaves traditional approaches behind.
AI tutors that understand your course
Traditional
Generic chatbots with no knowledge of your specific curriculum or course materials.
Campus AI
LMS-grounded AI that reads your course content and answers with source citations.
Instant formative feedback
Traditional
Students wait days or weeks for feedback on draft assignments.
Campus AI
Rubric-aligned feedback in seconds. Paragraph-level annotations. Academic staff review.
Safe skills practice
Traditional
Expensive, logistically complex role-play sessions limited by staff and room availability.
Campus AI
AI-powered role-play available 24/7. Academic staff author scenarios. Repeatable practice.
Staff content creation
Traditional
IT teams bottleneck AI tool setup. Each course requires developer involvement.
Campus AI
Self-service AI builder. Academics configure assistants, prompts, and activities independently.
Built-in AI governance
Traditional
No audit trail, no guardrails, no data residency guarantee.
Campus AI
Multi-layer guardrails, immutable audit logs, AU data residency, no training on your data.
Seamless LMS integration
Traditional
Standalone tools that don't talk to your existing systems.
Campus AI
Canvas LTI 1.3 integration and Azure AD SSO on our roadmap (Q4 2026–Q3 2027) — planned features include gradebook passback, roster sync, and content synchronisation.
0
Capability Lots
0
Unified Platform
0
AI Interaction Modes
0
Quiz Modes
Licensing
University-wide licensing.
Per-user, per-faculty, or institution-wide licensing designed for university procurement.
Institutional
University-wide licence covering all faculties and campuses.
Custom
Annual licence
- All Four Capability Lots
- Immersive Simulation & Role-play
- Personalised Learning & Study Support
- Formative Feedback & Writing Support
- Learning Design & Content Creation
- Audit Logging & Usage Metering
- Training & Onboarding Program
- Dedicated Support & SLA
Per-token and hybrid models available. Flexible to your institution's size and requirements.
Contact SalesQuestions
Answered, in full.
Everything procurement, IT, and academic governance need to know. Can't find what you're looking for? Contact our team
Campus AI plans to integrate with your university's LMS (Canvas via LTI 1.3, in development) and identity provider (Azure AD SSO, in development) to provide AI-powered learning tools within your existing ecosystem. Today, the platform is accessible as a standalone service. Academic staff configure AI assistants, upload course materials, and define rubrics. Students access personalised tutoring, role-play scenarios, writing feedback, and study tools — all grounded in your course content.
Canvas LTI 1.3 integration is on our roadmap (Q4 2026–Q3 2027). Planned features include assignment sync, gradebook passback, and content synchronisation. Integration with other LTI 1.3-compliant LMS platforms is available on request. Today, Campus AI is accessible as a standalone platform.
All data is stored in Australia (AWS Sydney or Azure Australia East, depending on institutional preference). We provide contractual guarantees that your data will not be used for model training. Data can be deleted on request in accordance with institutional records management policies.
Multi-layer content filtering blocks PII, off-topic queries, and assessment integrity violations. All AI interactions are logged to an immutable audit trail. Academic staff can review and override AI outputs through human-in-the-loop workflows. Guardrails are configurable per faculty, course, or use case.
Yes. The platform is designed for staff self-service. Educators independently create AI assistants, upload course resources, configure prompts, define learning activities, and manage course-specific AI experiences without any supplier or IT involvement required.
No. Campus AI is designed for use cases that fall outside existing institutional AI platforms. We complement, not replace. Our focus is on use cases requiring immersive simulation, at-scale study support, formative writing feedback, and staff-facing content creation tools.
We provide tiered training packages: administrator training for IT teams, academic staff workshops for educators, and student orientation materials. Ongoing support includes a dedicated account manager, priority SLA, and regular platform updates.
Flexible institutional licensing: per-user (students and staff), per-faculty, or university-wide. We also offer per-token and hybrid models. Contact our team for a tailored quote based on your institution's size and requirements.
Contact Us
Ready to transform learning and teaching at your university?
Request a demo or start a conversation about how Campus AI can support your institution's learning and teaching community.
Australian data residencyCanvas LTI 1.3 · Azure AD SSO (Planned)