Every course made to perform — in the professor's own voice.
Not a new platform to learn. Not a replacement for faculty. A layer that turns the courses already in your LMS into interactive, measurable learning experiences — built on each teacher's own pedagogy.
15%
fewer dropouts (conservative, research-grounded)
30h
faculty time returned, per teacher / year
3.9×
benefit-to-cost by year three
For different stakeholders
For the Dean / CEOInstitutional differentiation comes from how your faculty teach. We amplify that identity rather than commoditising it — an AI strategy your academic board can endorse.
For the Educational DirectorPedagogical integrity is preserved by design — the AI follows each professor's method, so academic standards aren't flattened into a template.
For the CTONo rip-and-replace. The teacher stays in the existing LMS; we add a layer through open standards, not a parallel system to maintain.
The shift nobody designed for
People stopped reading. Knowledge didn't stop being written.
Average attention on any screen
2004
2.5min
2012
75s
today
47s
Gloria Mark, UC Irvine — two decades of screen-attention research, replicated by five independent studies.
Reading→Skimming
Text→Video
And the younger the learner, the steeper the curve. Video is becoming the native language of a generation.
Yet a course is still a 40-page PDF — built for an attention span that no longer exists.
That mismatch is the whole problem. Libertify turns the document you already have into the immersive, interactive formats people actually consume — without rewriting a thing.
The problems we tackle
What's actually broken in the content layer
Students disengage from static content
PDFs and slides are uploaded and hoped-for. Completion and comprehension go unmeasured until grades reveal the damage.
Faculty are buried in repetitive work
Re-answering the same questions, reformatting, prepping — time that should go to teaching.
No visibility into where learning fails
Which concepts confuse, where students drop off, which questions recur — invisible until too late.
Innovation tools sit unused
New platforms demand faculty rebuild courses elsewhere. Only early adopters ever do. Adoption stalls.
For different stakeholders
For the CFODropout is the costly one: every student lost is a full tuition gone, dwarfing any software line item.
For the Educational DirectorNo visibility into where learning fails means you're steering course quality blind, semester after semester.
For the HR DirectorFaculty buried in repetitive work is a burnout and retention problem long before it's a productivity one.
Teacher onboarding
The teacher is convinced before onboarding ends.
Onboarding doesn't finish when the questions are answered. It finishes when the teacher has seen one of their own courses transformed, adjusted it until it sounds like them, and decided it's right. Co-creation, not configuration.
01
Invited from the LMS
A link inside Moodle. One click, already signed in.
02
Five DNA questions
Under two minutes. About how they teach — never about settings.
03
One real course, transformed
We convert one of their actual courses so they react to something real.
04 · LOOP
Adjust & re-run
Sliders and a free-text note. As many turns as it takes to convince them.
Q1 · Depth
Where do students end up?
Fundamentals ↔ analysis & judgement
Q2 · Structure
How do you open a topic?
Step-by-step ↔ problem-first
Q3 · Illustration
How do ideas land?
Precise ↔ rich in examples
Q4 · Voice
How do you sound?
Warm · surgical · provocative
Q5 · Autonomy
When a student is stuck?
Give the answer ↔ coach to it
Onboarding ends on a feeling: “this actually sounds like me.” That conviction is the engagement we build everything else on.
For different stakeholders
For the Educational DirectorTeachers validate pedagogical fidelity on their own course before committing — academic control stays with faculty.
For the HR DirectorAn onboarding that respects faculty time and autonomy removes the resistance that derails change programmes.
For the CTOZero-configuration onboarding via the LMS launch — no provisioning burden on your team, no new identity system.
Inside the experience
One document becomes a whole learning toolkit.
Every converted course document opens a Knowledge Hub. Students choose how they learn — watch, listen, test themselves, ask. All generated from the same source, in the teacher's voice.
CAP
For different stakeholders
For the Educational DirectorMultiple modalities serve different learners from the same content — accessibility and differentiation by design.
For AdmissionsA rich, interactive student experience is a tangible proof point for open days and families.
For the CTOAll modules render in-browser from one source, delivered through the LMS; nothing for students to install.
From engagement to insight
Teachers finally see how their course is actually consumed.
Every interaction — reading, watching, asking, testing — becomes a signal. Not surveillance, but the visibility faculty have never had: where the cohort thrives, where it stalls, and which students need them this week.
The cohort · crowd wisdom
Where the class struggles — as a crowd
A consolidated view of how every lesson performs: reading progress, sessions, questions asked, drop-off points. When 33% of students stall on the same page, the content needs a fix — and now the teacher knows exactly where.
Course-level dashboard: live reading progress, students at risk, questions pending, and an Insights & actions column that turns the event stream into next steps.
The student · individual insight
Where one student needs you — before it's too late
Drill into a single lesson and see every student: progress, video watched vs. read, engagement banding (Engaged / Learning / Struggling). Risk is flagged early, so the teacher can dedicate time to the students who need it — and intervene before a struggle becomes a dropout.
Per-student detail: individual progress, engagement banding, and AI-suggested teaching actions — “two students haven't opened the lesson — send a nudge.”
The payoff
Engagement data turns dropout from a number you discover at the exam into a risk you act on in week three. That early-warning loop is the single highest-ROI thing analytics can do for a programme.
Daily operation in the LMS
Convert one document, a quarter, or the whole programme.
Faculty and administrators work at whatever scale suits the moment — without ever leaving the LMS. The same engine powers a single click and a bulk rollout.
Single
One document, one click
A toggle on any course file turns it into a full interactive experience. The everyday gesture.
Teacher · in the flow of preparing a class
In between
A selection — e.g. first quarter
Pick by chapter, period or type ("all Q1 readings", "every case study"). Convert the set in one action.
Teacher or coordinator · planning ahead
Batch
A whole course or programme
An admin selects an entire course's content and provisions faculty in bulk — institutional rollout, one job.
Administrator · scaling across the school
For different stakeholders
For the Educational DirectorCoordinators convert a term's materials at once, keeping a programme pedagogically consistent.
For the CTOSingle-doc, selection and full-batch run through the same standards-based pipeline — one integration to maintain.
For the HR DirectorBulk provisioning onboards faculty at scale without a per-teacher administrative burden.
Value & benefits
What changes, and who feels it
Engagement that's measured
Static content becomes interactive and tracked — completion, time, questions, drop-off, all visible.
Faculty time returned
Automated Q&A and reuse give hours back to teaching. ~30h / active teacher / year at maturity.
Retention you can model
Better engagement reduces dropout — the single largest financial lever for an institution.
For different stakeholders
For the Dean / CEOA defensible, faculty-endorsed AI capability that strengthens rankings narrative and institutional positioning.
For the CFOThree quantified lines — retained tuition, faculty hours, brand value — that net to a benefit-cost ratio approaching 4× by year three.
For the Educational DirectorConcept-level insight into confusion and drop-off, turning course improvement from anecdote into evidence.
Grounded in research
An educational mission, backed by peer-reviewed evidence.
Our model isn't built on optimism. It synthesises six recent peer-reviewed studies on dropout — and deliberately uses the conservative end of their findings.
52%
of high-risk students moved out of the danger zone by analytics-led intervention
Shiao, Liu et al. 2023 · n=2,205
€1–2M
annual revenue lost to dropout at a 10,000-student institution (10% rate)
FranklinCovey 2025
15%
dropout reduction used in our ROI — the evidence mid-point, not the ceiling
Bond et al. 2024
6
peer-reviewed studies (2023–2026) synthesised in our evidence brief
Full bibliography on request
For different stakeholders
For the Dean / CEOAn evidence-led story your academic board and IR office can defend publicly.
For the CFOConservative assumptions (15%, not 30%) make the business case a floor, not a best case — it withstands due diligence.
For the Educational DirectorSix peer-reviewed studies underpin the approach; your IR team can verify every effect size.
The economics
Three simple components, sized to your institution.
No per-seat licences and no legacy SaaS tiers. You pay for active teachers and active students, above a single monthly platform fee — and usage replaces that floor rather than adding to it.
Per teacher
a small monthly fee for each active teacher-creator
Per student
a low monthly fee for each active student
Platform fee
one monthly minimum that usage replaces once exceeded
Pricing that follows usage, not seats
You pay for active teachers and students, not licences that sit unused. The monthly platform fee sets a floor; once real usage exceeds it, usage simply replaces the minimum — it never stacks on top. We size every component to your institution.
For different stakeholders
For the Dean / CEOPredictable budgeting: spend tracks active usage, so there is no large fixed licence to justify before adoption proves itself.
For the CFOCosts scale with active teachers and students, not seats bought in advance. The monthly floor is the only fixed commitment, and usage replaces it rather than adding to it.
For the HR DirectorOnly active teacher-creators are billed, so a phased rollout costs only what is actually used as adoption grows.
Integration
Live in your LMS in weeks — not a migration.
We meet your stack where it is. Faculty never leave Moodle, Canvas or Blackboard; students click an experience inside the course they already use.
LTI 1.3 — day one
Standards-based single sign-on and content placement. No plugin to wait for, no faculty migration. Works across every major LMS.
Analytics that travel
Rich interaction data flows back via xAPI — the layer that makes learning visible, and the reason engagement can be measured at all.
Procurement-ready
GDPR by design, SSO, admin governance, SLA. SCORM available as a bridge where mandated.
Our integration order is a strategy, not a checklist
LTI 1.3 first (low effort, cross-LMS, full fidelity), xAPI next (the analytics moat), native plugins only once adoption is proven, SCORM strictly as a procurement bridge. Engineering brief available on request.
For different stakeholders
For the CTOLTI 1.3 Advantage for SSO and deep linking, xAPI for analytics, GDPR-by-design, SSO, SLA. No plugin dependency to launch. Full engineering brief on request.
For the Educational DirectorFaculty work entirely inside the LMS they know — zero new tools to train on, which is why adoption actually happens.
For Legal / SecurityStandards-based integration (LTI 1.3, SSO/OpenID Connect, TLS) means no bespoke connectors to security-review and re-review.
Why we're different
Anyone can generate content. We generate your faculty's content.
The market is filling with generic AI tools whose output sounds like the model. Ours sounds like the professor — because each teacher's pedagogy is captured as a structured system that drives every generation. Here's how we account for every kind of faculty, and what it produces.
Faculty are not one audience. Our framework is built so the enthusiast and the sceptic both succeed — because no one is asked to learn technology or rebuild a course. They describe how they teach; the system does the rest.
The pioneer
The Digital Innovator
MissionPush the frontier of how students learn.
ValuesExperimentation, engagement, novelty.
ConstraintImpatient with friction and limits.
We giveDepth to explore; never a ceiling.
The core
The Devoted Educator
MissionEvery student genuinely understands.
ValuesClarity, care, academic rigour.
ConstraintTime-poor; protective of their method.
We giveTheir voice preserved, hours returned.
The sceptic
The Traditional Academic
MissionUphold scholarly standards and depth.
ValuesRigour, control, intellectual integrity.
ConstraintDistrusts AI; fears being replaced.
We giveFull fidelity to content; nothing left the LMS.
Early adopters — adopt on day oneLaggards — adopt because they never feel the tech
The same five questions, asked once inside the LMS, serve the whole spectrum. The innovator feels freedom; the sceptic feels respected. Neither feels the technology — that's the design goal. Mission-driven, accounting for style.
Grounded in established pedagogy — Bloom's taxonomy, backward design, and Grasha's teaching styles. Each answer sets both the mechanics of an asset and the instructions that write its content.
Both teach the same introductory finance lesson. They answer the five questions differently — and Libertify produces visibly different content and add-ons. This is the difference no generic tool can create.
The five dimensions
→ what each produces
Professor A
Dr. Claire Moreau
Devoted Educator · warm, builds slowly
Professor B
Prof. Henri Aubert
Traditional Academic · rigorous, case-driven
Depth
target cognitive level
Fundamentals-first
Secures every term before moving on.
Quiz: recall & comprehension, one concept per question.
Analysis & judgement
Assumes basics; pushes to decisions.
Quiz: scenario items — "what would you decide, and why?"
Structure
how a topic opens
Brick-by-brick
Roadmap, then layer by layer.
Video: opens with a 15s roadmap; checkpoints per segment.
Problem-first
Real case in the first 20 seconds.
Video: opens on a live dilemma; theory emerges to solve it.
Illustration
how ideas land
Rich in examples
Everyday analogies before the abstraction.
Flashcards: situation on front, concept on back.
Clean & precise
High signal, minimal ornament.
Summary: austere, definitional, no analogies.
Voice
how it sounds
Warm mentor
"Let's work through this together…"
Narration: encouraging, intuition before rigour.
Surgical expert
"Three things matter here. First…"
Narration: composed, authoritative, economical.
Autonomy
tutor behaviour
Guide
Gives the answer, then checks understanding.
Chatbot: clear answers, supportive follow-up.
Coach
Questions first; lets students arrive.
Chatbot: Socratic — hint, then stronger hint.
Resulting experience
Dr. Moreau's add-ons, auto-selected:
Guided video · roadmapPer-segment quizzesSituational flashcardsWarm AI tutorEncouraging audio doc
Prof. Aubert's add-ons, auto-selected:
Case-led videoEnd-of-lesson scenario quizAustere summarySocratic AI tutorAnalytical podcast
Why this is impossible to copy
A generic content tool produces one house style. We produce theirs — because the five dimensions resolve into both structured parameters and the prompt instructions injected into every generation. The full Playbook Matrix (the engineering-grade specification behind this) is available to your technical team on request.
For different stakeholders
For the Dean / CEOThis is the defensible differentiator: a capability rooted in your faculty's identity that a competitor's generic tool structurally cannot replicate.
For the Educational DirectorTwo professors, same lesson, two pedagogically faithful experiences. Academic identity is preserved per teacher, never flattened to a house style.
For the CTOThe 'teacher's voice' is a documented system — five dimensions resolving into parameters plus injected prompt instructions. Auditable, not magic. Full spec on request.
Trust, security & compliance
Built for institutional procurement — certified, not claimed.
A French company, on EU infrastructure, certified to the standards your security and legal teams require. The essentials, with real status — and the answers to the questions an AI tool must answer before it touches student data.
27k
ISO/IEC 27001
Certified · certificate available
S2
SOC 2 Type 2
Report available on request
EU
GDPR · Art. 28
Compliant · DPA in place
🔒
AES-256 · TLS
At rest & in transit
Data protection & residency
✓EU hosting. AWS datacenters in the European Union.
✓Processor under GDPR. Art. 28-compliant DPA; Libertify acts as data processor for the institution.
✓Logical tenant separation. Each client's data isolated from others.
✓Deletion on request guaranteed; data export & reversibility at contract end.
~Non-EU transfers, where they occur, governed by adequacy decision or Standard Contractual Clauses.
Security controls
✓AES-256 at rest (AWS S3 + KMS-managed keys).
✓TLS in transit, internal and external flows.
✓SSO / delegated auth (OpenID Connect); MFA available for administrators.
✓Client right-to-audit (annually) and access/activity logs on request.
Jurisdiction & governance
✓French SAS, Paris — governed by French law; contract under French jurisdiction.
✓ISMS with annual internal audits, management review, annual risk reassessment (ISO 27001).
✓Aligned to ISO 27017 / 27018 (cloud & PII protection codes of practice).
✓Authorised access limited to vetted Libertify staff in the EU.
Integration & standards
✓LTI 1.3 Advantage — SSO & deep linking, cross-LMS.
✓xAPI — interaction analytics back to your systems.
✓SCORM — available as a procurement bridge where mandated.
✓Secured API interconnections (HTTPS/TLS).
The AI data question — answered directly
Is customer data used to train models?
No. Client data is processed only to deliver the service; it is not used to train third-party model providers' models.
Which AI providers are used?
Generative LLMs plus text-to-speech and facial-animation models, accessed via API under contractual data terms (training disabled).
Are generated outputs stored?
Yes — videos, chatbot responses and documents are stored encrypted at rest on AWS S3.
Are prompts logged, and for how long?
Chatbot conversations and logs are retained for the contract term + up to 6 months, unless legally required otherwise.
✓Certified / verified today~Situational / governed by contract termsFull security questionnaire & certificates available under NDA.
For different stakeholders
For Legal / SecurityFrench SAS under French law, EU hosting, GDPR Art. 28 processor with DPA, ISO 27001 + SOC 2 Type 2, AES-256, TLS, SCC for any non-EU transfer, client right-to-audit. Customer data is not used for model training.
For the CTOISO 27001 certified, SOC 2 Type 2 report available, AES-256/KMS, TLS, EU AWS, logical tenancy, pen-tested, OpenID Connect SSO + admin MFA. Certificates and questionnaire under NDA.
For the CFOA pre-certified vendor shortens security review and avoids costly remediation; compliance maturity lowers total cost and risk exposure.
