Building in Public · Early Access Coming Soon

AI-powered insights that
understands every classroom

Two AI agents — ARIA generates the questions shy students won't ask, ATLAS observes what teachers physically can't. Audio-powered teaching quality insights.

Camera + Mic Powered Privacy-First Architecture Real-time AI Analysis

The Problem

Teachers Can't See What They Can't See

75%

of students are too anxious to ask questions in class

Education Week Research, 2023

~1.5 min

average teacher attention per student in a 30-student class — AI helps you reach more

Classroom time arithmetic

3-6 weeks

average delay before teachers identify struggling students

Fuchs & Fuchs, 2004

See It In Action

Watch AI Agents Work in a Live Classroom

Press play to see how ARIA generates questions and ATLAS measures engagement patterns — helping teachers adapt during an actual Biology lesson. No scripted demo — this is what teachers see.

Live Classroom Session

Biology — Class 10 — Cell Transport Mechanisms

ARIA Active
ATLAS Monitoring
Engagement: 85%
0:003:00

ARIA is listening...

Questions will appear as the lesson progresses

The AI Agents

Two Agents, One Smarter Classroom

ARIA

Artificial Reasoning & Inquiry Agent

ARIA listens to every lecture via classroom microphones, identifies knowledge gaps the moment they occur, and generates the questions students are too shy to ask — ranked by Bloom's Taxonomy for pedagogical depth.

Powered by: Classroom mic array → real-time speech-to-text → LLM analysis

Real-time Transcription
Question Generation
Bloom's Taxonomy Tags
Comprehension Scoring
Knowledge Gap Detection
Speaker Diarization

ATLAS

AI Teaching & Learning Analytics System

ATLAS analyzes teacher audio patterns to understand lesson pacing, talk time balance, and classroom engagement levels. It provides real-time coaching nudges so teachers can adapt their delivery on the fly.

Powered by: Audio transcription → NLP analysis → teaching quality ML models

Talk Time Analysis
Lesson Pacing Insights
Audio Quality Scoring
Live Teacher Coaching
Engagement Patterns
Teaching Quality Metrics

What You'll Need

The hushClass Kit

Real classroom intelligence requires real sensors. hushClass combines affordable hardware with powerful AI to give teachers genuine visibility into their classrooms.

Classroom Camera

A classroom camera focused on teacher movement and teaching patterns. Analyzes aggregate classroom activity for teacher coaching insights.

  • Wide-angle lens (120°+ FOV)
  • 720p minimum resolution
  • Aggregate classroom activity sensing
  • Teacher movement tracking (optional)
  • Privacy: processed on-device, no raw video stored

Microphone Array

A directional mic array that captures classroom audio for real-time transcription and teacher-vs-class voice separation.

  • Ceiling or desk-mountable
  • Noise cancellation for classroom acoustics
  • Speaker separation (teacher vs class)
  • Real-time audio streaming
  • Works with standard classroom layouts

hushClass Hub (Optional)

An edge compute device that processes camera and audio feeds locally — keeping raw data private and reducing cloud dependency.

  • Connects to camera + mic
  • On-device audio processing
  • Only metadata sent to cloud
  • Works with limited internet
  • Plug-and-play setup

Software-only mode: Schools with existing audio infrastructure can integrate directly. Teachers can also start with audio-only mode using a laptop microphone — camera features are additive, not required.

Getting Started

How hushClass Knows Who Is Who

HushClass works with just a microphone. No student enrollment needed. For schools wanting deeper insights, we offer optional features — schools choose what fits their comfort level.

Most Simple

Audio Upload

Upload a recorded lesson or connect to a live meeting. HushClass transcribes and scores your teaching quality automatically. No setup required.

Privacy-First

Seating Map

Track your teaching improvement over weeks. See which areas are growing and where to focus next — works with audio-only mode for privacy-first coaching.

Simplest

Team Insights

Share anonymized insights with your teaching team. Compare aggregate patterns and learn from each other — no individual scores shared.

Privacy by Design

All data is teacher-owned and private by default. Teaching scores are never shared with administrators without explicit teacher consent. Raw audio is deleted within 24 hours. Only aggregated insights — not photos — and are encrypted at rest. Schools retain full control over data retention and can delete all student data at any time. All processing follows privacy-first principles.

How It Works

From Setup to First Insights

Record your lesson, upload, and get insights. Teachers focus on teaching — hushClass handles the observation.

1

Install hushClass Kit

Mount the camera and mic in your classroom. Connect to the hushClass Hub or directly to your school's network.

2

Teach Your Class

Just teach normally. Record via phone, laptop mic, or meeting bot. No special setup needed.

3

Start a Session

Teacher clicks 'Start Session'. ARIA begins listening, ATLAS starts observing. Both agents work silently in the background.

4

Review Insights

After class, review the AI-generated debrief: engagement data, generated questions, comprehension gaps, and coaching suggestions.

Capabilities

What hushClass Actually Measures

With camera + microphone data, here's what becomes possible — no guesswork, just real classroom intelligence.

Via Camera (ATLAS)

Individual Participation Analysis

Classroom-wide attention patterns — overall focus levels across the room.

Classroom Energy Levels

Aggregate room activity: periods of active discussion vs quiet focus vs low energy — adapt your pacing.

Participation Balance

Measures how many different voices contribute to class discussion and whether participation is evenly distributed.

Participation Patterns

How evenly participation is distributed across the class — without identifying who spoke.

Teacher Movement Heatmap

How the teacher moves around the room — which areas get more attention.

Via Microphone (ARIA)

Real-time Transcription

Live speech-to-text of the entire lecture with timestamp alignment.

AI Question Generation

ARIA identifies concepts students likely struggle with and generates clarifying questions ranked by Bloom's Taxonomy.

Voice Separation

Distinguishes teacher voice from aggregate student voices. Measures talk time balance without identifying individuals.

Engagement Proxy via Audio

Classroom noise patterns, silence duration, and energy levels as indicators of engagement.

Concept Coverage Analysis

Maps lecture content against curriculum to identify what was taught vs what was missed.

For Every Stakeholder

From Individual Classrooms to Entire Districts

hushClass is designed for the realities of education — large class sizes, diverse learners, limited observation bandwidth. One system that serves every stakeholder differently.

For Teachers

Real-time coaching nudges during class. Post-session debrief cards with AI-generated questions, engagement data, and teaching suggestions.

For Principals

School-wide engagement analytics, teacher development insights, and automated weekly reports — without sitting in every classroom.

For Students

AI-generated questions that voice doubts they're afraid to ask. Better-paced lessons. More interactive classrooms.

For School Leaders

Aggregate teaching quality trends across the school — identify professional development needs — weeks before grades drop.

Audio-only

Minimum Mode

Camera + Mic

Full Intelligence

On-premise

Edge Processing

Zero PII

Raw Video Storage

Architecture

Built to Integrate, Not Replace

Existing Infrastructure Integration

Already have audio systems? hushClass can connect to standard microphones and audio feeds. No new hardware needed for schools with existing infrastructure.

LMS Connectivity

Import class rosters and curriculum data from Google Classroom, Canvas, or any LMS with API access.

Analytics Dashboard

Deep insights on engagement, comprehension trends, and teaching effectiveness. Session-by-session and longitudinal views.

School Management Systems

Connect with your existing school tools for seamless workflow integration.

Parent Communication

Automated engagement summaries and comprehension reports shared with parents at configurable intervals.

Curriculum Mapping

Upload your syllabus. ARIA maps lecture content against planned topics to show coverage gaps and teaching pace.

Pricing

Simple, School-Friendly Pricing

We're co-building pricing with our pilot schools. Early partners get locked-in founder rates. No per-student fees, no surprise overage charges.

Starter

Freeduring alpha
  • 1 classroom
  • Audio-only (no camera required)
  • ARIA question generation
  • Post-session debrief
  • Email support
Start Free
MOST POPULAR

School

Custompricing

Tailored to your school size and needs

  • Up to 20 classrooms
  • Camera + mic intelligence
  • ARIA + ATLAS agents
  • Real-time teacher coaching
  • Principal dashboard
  • Counsellor alerts
  • Priority support
Contact for Pilot Pricing

District / Chain

Custompricing
  • Unlimited schools
  • Dedicated infrastructure
  • On-premise deployment option
  • Custom integrations (SIS, LMS)
  • SLA guarantee
  • Dedicated account manager
  • Training & onboarding
Talk to Us

Prices in INR. Pilot partners lock in founding rates permanently. No per-device fees. No lock-in during alpha.

Early Access

We're building this
with schools, not for them

hushClass is in active development. We're looking for schools and teachers who want to co-build the future of classroom intelligence. Early partners will help shape the product and get priority access.

Building in Public

Questions We're Still Solving

Honest transparency about what we're figuring out. If you have insights on any of these, we'd love to hear from you.

How do we price this fairly?

Hardware + SaaS subscription? Per-classroom? Per-school? We need pilot data to determine real costs and value before setting prices.

What audio hardware is optimal?

Dedicated classroom microphones vs existing audio systems? Single omnidirectional vs multiple? Ceiling-mount vs desk? We're testing different setups in pilot classrooms.

How many languages can we support well?

Speech-to-text accuracy varies dramatically by language. We're starting with languages where STT models are strong and expanding as we validate quality.

Edge vs cloud processing?

Processing video on-device is better for privacy but limits AI capability. Cloud is more powerful but raises data concerns. We're building a hybrid approach.

Privacy and data protection?

We only analyze teacher audio and lesson quality patterns. No student data collection or individual tracking. EU AI Act and India DPDP compliant by design. Raw audio deleted in 24 hours.

How do we measure accuracy?

Is our engagement score actually accurate? How do we validate that ARIA's questions match real student confusion? We need classroom pilots to calibrate.