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.
Tcher runs silently in the background — invisible, private, and frictionless.
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
👨💼 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.
Post-pandemic, online tutoring and cohort-based courses have gone mainstream. Platforms are scaling rapidly — but struggling to maintain quality in live sessions.
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.
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.
The market is shifting from “just deliver content” to “optimize learning outcomes.” Platforms now want tools to measure and improve the actual learning experience.
Unlike full-stack tutoring platforms, Tcher integrates directly into your existing system using clean APIs — no workflow disruption, no learning curve.
Feedback after the session is too late. Tcher delivers insights during live sessions, helping tutors and operators take action when it counts.
Our models detect silence gaps, sentiment shifts, and engagement cues unique to tutoring — trained using real classroom data.
From tutors to product leaders, everyone wins. Tcher improves instruction, quality assurance, and product strategy — all at once.
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.
Everything you need to build, launch, and scale.
Fast. Quiet. Plug-and-play.
$ 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
Let Tcher help you deliver measurable, meaningful, and scalable learning improvements — automatically.