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VelorQ/ Models/ AURA
🎓 Education

AURA

Adaptive Understanding & Reasoning Assistant

VelorQ's education AI. Adaptive learning, exam readiness modelling, and in-course tutoring — across three distinct AI modes: Discover, Decide, Learn.

🎓
LIVE · Education · Learning Intelligence
Predict
Exam Readiness Model
Signals
Per-Session Telemetry
Early
Risk Signal Detection
3
AI Intelligence Modes
Multi
Multilingual Ready
KCL
Education Hub API
The AURA Suite

Three AI modes.
One learner journey.

AURA is not one chatbot. It is three distinct AI modes purpose-built for different moments — all sharing one learner model. Discover where you're going. Decide your path. Learn your way through.

AURA Discover

Hero Search
Narrative Roadmap Generator

A prompt-style search experience that lives at the top of the tenant's site. The visitor types an open-ended goal — “I want to clear NEET in 8 months” or “help me prepare for the bar exam” — and AURA returns a complete, narrative-style pathway. Milestones, prerequisites, study volume, week-by-week plan, all generated live like a personalised conversation.

  • Free-text goal input — no forms, no menus
  • Narrative output streamed token-by-token
  • Pulls from the tenant's own domain knowledge
  • One question, complete pathway in 8–12 seconds
DEMO · Hero Search

AURA Decide

Interactive Chat
Interactive Decision Companion

A persistent chat widget that follows the visitor across the site. Runs an interactive back-and-forth — asks targeted questions, narrows the path, and nudges the user toward the right next step. Each answer refines the recommendation. Conversion or human handoff happens directly inside the widget.

  • Multi-turn dialogue with context memory
  • Branching question logic per response
  • Live recommendation updates as user replies
  • Built-in CTA & sales-handoff hooks
DEMO · Chat Companion

AURA Learn

AI Tutor
In-Course AI Tutor

An always-on tutor embedded inside study material. Detects where the learner is stuck or has skipped concepts, then explains the gap in depth — with examples, diagrams, and check-questions. During exam preparation it switches to high-intensity mode: tracks mistakes, surfaces weak areas, and drills until mastery is reached.

  • Detects struggle & concept gaps automatically
  • Concept-level deep explanations on demand
  • Exam-prep mode: targeted weakness drilling
  • Cross-session memory across the full course
DEMO · AI Tutor
KCL · AURA as Education Hub

Every VelorQ model calls AURA
when it needs to teach.

Finance, healthcare, pharma, retail, logistics — each has its own domain intelligence. What they share is the need to train humans. AURA is the shared pedagogy engine.

What AURA Shares via KCL

Pedagogical strategies · Concept explanation frameworks · Learning pathway design · Multilingual content delivery · Spaced repetition schedules

VYDE

Compliance training · advisor certification

SAGE

Clinical staff onboarding · patient education

NOVA

Researcher training · GMP compliance

ZYNC

Retail staff training · product knowledge

ROAM

Driver safety certification · DG training

ALL

Multilingual pedagogy

Predictive Intelligence · AURA Deep Analytics

AURA predicts, models, and intervenes.
Before the learner knows they need help.

hundreds of signals per session fused into a readiness estimate. Cognitive load monitored in real time.

01 · EXAM READINESS TRAJECTORY

Exam readiness signal detection

AURA models each learner's readiness continuously, calculating exactly how many targeted study hours close the gap to pass threshold.

READINESS TRAJECTORY (MODEL)
THRESHOLDPASS THRESHOLD: 75%
Readiness scoring engine tracks learner progress and signals likely outcomes ahead of exam date.
02 · CONCEPT MASTERY BREAKDOWN

Which topics are gaps — which are strengths

AURA maps mastery at concept level across the exam syllabus, flagging root-cause weaknesses.

MASTERY MAP (MODEL)
Pharmacokinetics
88%
Drug Interact.
42%
Renal Dosing
35%
Adverse Effects
71%
Pharmacodynamics
79%
Calculations
91%
Root-cause engine surfaces concept-area gaps that most impact performance — targeting revision where it matters.
03 · COGNITIVE LOAD DETECTION

When to push harder. When to ease off.

AURA monitors cognitive load — response latency, error patterns, re-read behaviour — and adapts difficulty in real time.

COGNITIVE LOAD INDEX (MODEL)
THRESHOLD
Cognitive load index modulates difficulty in real time — backing off before fatigue, pushing when capacity is available.
04 · SIGNAL FUSION — 312 INPUTS

Every interaction feeds the learner model

Six signal streams fused into a unified learner model, updated after every answer — not just end-of-session.

SIGNAL FUSION (MODEL)
Q Responses
94%
Video Engage.
87%
Session Timing
82%
Text Interact.
78%
Inter-Session
91%
Cohort Bench.
85%
Signal fusion engine combines per-session telemetry into a live readiness estimate — updated after every interaction.
Predict
Readiness Model
Signals
Session Telemetry
Early
Risk Detection
3
AI Modes
Built For

Industries that teach.

AURA powers adaptive learning for any domain where humans need structured pathway-based training with measurable competency outcomes.

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Healthcare

Licensing exam prep · CME

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Finance

CFA · FRM certification

⚖️
Legal

Bar exam · practitioner training

🧬
Pharma

GMP · regulatory training

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Agri-Edu

Farmer education programs

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Academic

Universities · K-12 platforms

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Corporate

Workplace compliance

🌍
Gov / NGO

Development sector training

Deploy AURA

Three AI modes. Ready to deploy.

Whether you need Discover, Decide, Learn — or all three — let's talk about how AURA fits your product.