For Universities

Scaled student support that meets institutional standards

Academic support at scale, governed and accessible. Students get 24/7 multilingual help, and institutions keep full oversight.

Explore a proof of concept Meet Professor Dynamo

The challenge

Students are struggling silently, and demand is outpacing capacity

Growing cohorts, limited office hours, and stretched support services mean too many students fall through the gaps.

Limited support hours

Students need help outside of 9-to-5. Office hours and drop-in sessions cannot cover evenings, weekends, or exam season surges.

Growing demand

Student-to-staff ratios continue to rise. Personalised academic support becomes harder to deliver at scale.

Language barriers

International cohorts bring diverse language needs. Many students struggle to engage fully in a single language of instruction.

Why current approaches fall short

Office hours don't scale. Generic AI lacks governance.

Institutions face a difficult choice: maintain overstretched human support, or risk adopting AI tools that lack the controls higher education requires.

Traditional support

× Office hours limited to staff availability and term-time schedules
× Cannot personalise support to individual learning pace or language
× Scaling requires proportional headcount increase

Generic AI tools

× No institutional data boundaries or governance controls
× Cannot be aligned to specific curricula or approved materials
× No admin visibility into usage, quality, or student engagement

How ProfessorMe works

A multilingual AI professor, built for institutional deployment

ProfessorMe delivers personalised academic support in 175 languages, grounded in your approved content and governed by your policies.

Professor Dynamo

Can you explain the difference between monetary and fiscal policy?

Great question. Let me break this down using the approved materials from your macroeconomics module.

Drawing from: ECN201 Course Pack, Ch. 4

Available in 175 languages

Curriculum-aligned AI support

Ingest your course materials, reading lists, and approved resources. The AI professor draws from this curated content to deliver explanations, answer questions, and guide students, always aligned with your academic standards.

Content ingestion Upload syllabi, lecture notes, and approved texts to ground AI responses.
175 languages Students engage in their preferred language with no loss of academic rigour.
Adaptive explanations The AI adjusts depth and complexity based on student interaction.

Governance & control

Institutional oversight without surveillance

Designed for the governance requirements of higher education. Admins get visibility into engagement and quality, not into individual student conversations.

Admin Dashboard Department: Economics

89%

Engagement

Languages

4.6

Satisfaction

Content coverage 78%

Aggregate data only. No individual conversation access.

Admin control and visibility

Institution-level dashboards provide aggregate insights into engagement patterns, language usage, and content coverage. Configure access controls, content boundaries, and reporting at the department or programme level.

Data boundaries Student data stays within your institutional environment. No cross-institution data sharing.
Admin dashboards Aggregate engagement metrics without exposing individual conversation content.
Controlled environments Proof of concept deployments are sandboxed and scoped to specific cohorts or departments.

Outcomes

What institutions can expect

ProfessorMe is designed to deliver measurable improvements in student support reach, accessibility, and satisfaction.

24/7 availability

Students access support any time: evenings, weekends, and exam season, without additional staffing.

Multilingual reach

Support delivered in 175 languages, removing barriers for international students.

Curriculum alignment

AI responses grounded in your approved materials ensure academic consistency.

Engagement insights

Aggregate dashboards help identify support gaps and content coverage patterns.

Getting started

A structured proof of concept, scoped to your needs

We work with your team to define scope, ingest content, configure governance settings, and establish success metrics before anything goes live.

Scope and configure

Define the cohort, department, or programme. Set data boundaries, content sources, and admin access levels.

Deploy and observe

Launch within a sandboxed environment. Monitor engagement, content coverage, and student feedback in real time.

Evaluate and decide

Review outcomes against agreed metrics. Decide on next steps with full data to support the case.

Frequently asked questions

Common questions from university leadership, IT teams, and academic staff.

How does ProfessorMe integrate with our existing LMS or VLE?

ProfessorMe is designed to sit alongside your existing learning management system. We support LTI integration and can work within your current institutional technology stack. During a proof of concept, we will map out the integration pathway specific to your environment.

How is student data handled and who has access?

All data is processed within strict institutional boundaries. Student interaction data is never shared across institutions or used to train models outside your environment. Admin dashboards provide aggregate engagement insights without exposing individual conversation content.

Can we control which content the AI draws from?

Yes. Institutions can ingest their own course materials, reading lists, and approved resources. The AI professor draws from this curated content set, ensuring responses are aligned with your curriculum and academic standards.

What does a proof of concept look like?

A typical proof of concept runs for 8 to 12 weeks within a defined cohort or department. We work with your team to scope the deployment, ingest relevant content, configure governance settings, and establish success metrics before launch.

Does ProfessorMe support students with accessibility needs?

Yes. The platform supports 175 languages, works across devices, and is designed with accessibility in mind. Students can engage through text or voice, and the AI adapts its explanations to different levels of understanding.

Professor Dynamo

AI multilingual professor

BabbleMouth

Content transformation

Verbaliser

Multilingual speech engine

Tutor Dynamo

Human tutoring layer

Ready to explore a proof of concept?

Let's scope a structured deployment that fits your institution's needs and governance requirements.

Explore a proof of concept Talk to us about fit