Add a Brain to Your Platform

Introducing Intelligence Layer for Online Learning

Tcher helps EdTech platforms monitor, measure, and improve every session — with zero added effort from tutors or students.

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Here's how we can help you

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Spot when students lose focus in real time

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Guide tutors instantly with smart, gentle feedback

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Measure teaching quality across your entire platform

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Plug it into your system quickly with clean APIs

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Monitor live sessions automatically — no extra tools needed

What is Intelligence Layer ?

The Intelligence Layer is a Real-time analytics engine that seamlessly integrates into any EdTech platform to enhance live tutoring sessions with AI-driven insights.

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Better teaching

Happier students

Stronger retention

Built for B2B EdTech platforms.

Tcher runs silently in the background — invisible, private, and frictionless.

How It Works

Step 1: Capture

The Session Monitor listens in real time and captures critical learning signals — like talk time, silence, interruptions, and engagement patterns.

Step 2: Segment

Each session is broken into 10-minute segments to track and compare engagement over time.

Step 3: Analyze

The Feedback Engine processes each segment to detect key trends and surface meaningful insights.

Step 4: Act

Tutors get live nudges to course-correct mid-session. Operators get clear dashboards to monitor session quality at scale.

✅ 100% streaming, privacy-first

🛑 No audio stored

> who-should-use-tcher --help

👨‍💼 EdTech Platform Operators
 Monitor engagement, tutor effectiveness, and session quality — in real time.

👩‍🏫 Tutors & Educators
 Get real-time nudges and insight while teaching, without lifting a finger.

🧑‍💻 Developer Teams
 Integrate seamlessly using clean REST APIs, webhooks, and quick-start docs.

💡 Tcher runs silently in the background. Zero disruption. Maximum insight.

Why Now?

Live Learning Is Exploding

Post-pandemic, online tutoring and cohort-based courses have gone mainstream. Platforms are scaling rapidly — but struggling to maintain quality in live sessions.

Blind Spot in Session Visibility

EdTech platforms know who attended a session — but not what actually happened inside. Without real-time insight, poor sessions go unnoticed, leading to churn and missed outcomes.

AI Is Finally Good Enough

Advances in speech analysis, real-time processing, and edge ML now make it feasible to analyze live sessions at scale — something that wasn’t viable just a few years ago.

EdTech Is Maturing

The market is shifting from “just deliver content” to “optimize learning outcomes.” Platforms now want tools to measure and improve the actual learning experience.

Why Tcher Wins

Built to Integrate, Not Replace

Unlike full-stack tutoring platforms, Tcher integrates directly into your existing system using clean APIs — no workflow disruption, no learning curve.

Real-Time Over Post-Facto

Feedback after the session is too late. Tcher delivers insights during live sessions, helping tutors and operators take action when it counts.

Signal Engine Tuned for Tutoring

Our models detect silence gaps, sentiment shifts, and engagement cues unique to tutoring — trained using real classroom data.

Value Across Roles

From tutors to product leaders, everyone wins. Tcher improves instruction, quality assurance, and product strategy — all at once.

Our Data Flywheel

Every session sharpens our models. With each new insight, our engine gets better — creating a powerful loop of compounding accuracy.

Tcher sets the gold standard for live session intelligence — seamless, scalable, and smart.

Developer-Friendly by Design

Everything you need to build, launch, and scale.
Fast. Quiet. Plug-and-play.

  • REST APIs for audio + event streams
  • Webhooks for real-time nudges
  • Zoom, Jitsi, BigBlueButton compatibility
  • Integration docs & live support
  • 🚀 Monitor your first session in under a day

$ POST /api/v1/stream

{
 "session_id": "f046daa3-9595-495d-bdee-4e7ec5f6dd96",
 "duration_minutes": 10,
 "tutor_speaking_ratio": 50.0,
 "silent_gaps": 0,
 "audio_clarity_score": 1.0,
 "student_questions": 1,
 "tutor_questions": 0,
 "hand_raises": 0,
 "answers_given": 0,
 "engagement_score": 0.1,
 "sentiment_score": 0.99,
 "student_sentiment": "positive",
 "health_score": 73.0,
 "feedback": [
  {
   "issue": "Low engagement score detected.",
   "severity": "Critical",
   "tip": "Use more interactive activities."
  },
  {
   "issue": "Session quality is stable compared to the last one.",
   "severity": "Informational",
   "tip": "Track trends over time for improvement."
  }
 ],
 "tags": [
  "#SmoothSession"
 ]
}

⚡️ Response in 148ms

🧪 Try it live in our interactive playground

Add Real-Time Intelligence to Your EdTech Stack.

Let Tcher help you deliver measurable, meaningful, and scalable learning improvements — automatically.