02 / The engine

A private coach for every teacher.

TeachingQuotient reads lesson plans and listens to classroom practice—in Urdu, English, Bahasa and Arabic—then returns structured, rubric-based feedback once available only through expensive human observation.

TQ intelligence pipeline
Consent-gatedEncryptedLocally calibrated
FLOW / 01—04
Teacher-private processing zone
Aggregate boundary
01 / Input gatewayConsent verified

Teacher shares

One secure entry point for classroom evidence.

Lesson planVoice noteClassroom video
02 / Intelligence coreTQ

Multimodal analysis

Speech + contextRubric engineLocal calibration
03 / Private outputTeacher-owned

Private coaching

Specific feedback, evidence-linked next moves and progress visible first to the teacher.

Feedback packetEncrypted →
04 / System outputAggregate only

Transfer evidence

Cohort-level patterns for leaders—without exposing covert individual performance scores.

Privacy thresholdEnforced ✓
Human in the loopInstructional coach · optional
Teacher-private data path De-identified aggregate path

Raw classroom evidence never enters the system dashboard.

TQ / 01

TQ Lesson

Structured feedback on inquiry, conceptual accuracy, engagement and assessment alignment—minutes after a teacher shares a plan.

In pilot
TQ / 02

TQ Classroom

A recording becomes private coaching on question quality, talk-time balance and observable teaching routines.

In pilot
TQ / 03

TQ Coach

Caseload prioritisation and cohort intelligence for master trainers—multiplying scarce human coaching, never replacing it.

Roadmap

“TQ is your private coach,
not a policing system.”

Our first product ruleTeachers own their data. Feedback is confidential by default. Leaders see cohorts, never covert individual scores.