system.onlinelatency · ~1s► live transcript stream
// problem statement

MCQs measure
recognition.
We measure
understanding.

Voxam is an AI examiner that listens to you explain concepts aloud, probes your reasoning, and remembers what you struggle with — across every session, in your language.

response
~1s
follow-ups
≤ 3 / Q
languages
EN · HI · TA
concepts
// 02 — live demowatch one question play out

The exam happens aloud.

q3 of 1012:34
passage · kinetic energy

Kinetic energy is the energy of motion. For an object of mass m moving at velocity v, KE = ½mv². The relationship is quadratic — doubling velocity quadruples kinetic energy.

A car traveling at 30 km/h has 100 kJ of kinetic energy. What is its kinetic energy at 60 km/h?

A200 kJ — it doubles with the speed
B400 kJ — KE scales with velocity squared
C150 kJ — increases by half
D100 kJ — kinetic energy is constant
examiner probing
// 03 — what every test misses3 failures

The exam was solved 100 years ago. Then nothing changed.

F-01
Recognition ≠ recall
You picked from four. You never produced.
Voxam asks you to say the answer, in your own words.
F-02
Memory ≠ understanding
You repeated the formula, not the reasoning.
Voxam follows up. Why does it work? When does it fail?
F-03
A score ≠ a profile
You got 78% — and then the test forgot you.
Voxam tracks every concept. Forgetting curves. Gaps. Decay.
// 04 — the loop3 movements

Three steps. Then it gets smarter every time.

01
INGEST
You bring the material.
PDFs · slides · handwritten notes. Voxam extracts every concept and builds your private knowledge graph.
concepts → graph
02
EXAMINE
You sit the exam.
Questions appear. You explain aloud. The examiner transcribes, evaluates, probes follow-ups, adapts in real time.
voice ↔ examiner
03
CALIBRATE
You see exactly where you stand.
Mastery per concept. Decay rates. Prerequisite gaps. Next session is calibrated to where understanding broke.
graph → curriculum
// 05 — backed by · startup programsinfra partners
Deepgram
Nova-3 STT · sub-300ms RTT
speech
Redis
session state · streaming
memory
Neo4j
concept dependencies
graph
// 06 — the memorystate.persists()

Most tests
forget you.
This one doesn't.

Voxam runs a per-student knowledge graph. Every concept you've touched lives in it. Decay rates, dependencies, mastery scores — all updated every session.

forgetting_curve()
Per-concept decay — re-examined right before it slips.
prerequisite_trace()
Stuck on Kirchhoff? Graph knows Ohm wasn't solid. Fixes the root.
capability_profile()
Pushes harder where weak. Skims where strong. Per session.
~/student/sj-2847/graph● synced 2m ago
demand_supplystable92%
price_elasticitystable78%
consumer_surplusfading64%
price_ceilingsfading51%
deadweight_lossgap38%
tax_incidenceunseen0%
$ next_session.calibrate(['consumer_surplus', 'price_ceilings', 'deadweight_loss'])
// 07 — subjects2 deployed · more queued

Built libraries, or your own paper.

● live01/02
CLAT
Common Law Admission Test
1,000+ passages
● live02/02
Your own
PDFs · notes · slides
Any subject
// 08 — i18nlocale.set(student.tongue)

The exam is
multilingual.
Your answer is yours.

Hindi, Tamil, English — speak in the language you reason in. Voxam transcribes, evaluates, and follows up in the same one.

EnglishEnglish
live
Hindiहिन्दी
live
Tamilதமிழ்
live
Teluguతెలుగు
soon
Bengaliবাংলা
soon
Kannadaಕನ್ನಡ
soon
Marathiमराठी
soon
Gujaratiગુજરાતી
soon
// 09 — pricingcredits, not subscriptions

Pay for minutes. Use any time.

trial
₹0
a taste
15 min voice
10 chat msgs
1 doc · 20 pp
$ purchase →
starter
₹399
first paper
100 min voice
500 chat msgs
100 doc pp
AI report
$ purchase →
recommended
standard
₹699
recommended
200 min voice
1,000 chat msgs
250 doc pp
AI report
$ purchase →
achiever
₹1,299
serious prep
350 min voice
1,500 chat msgs
500 doc pp
AI report
$ purchase →
// 10 — cta

Stop guessing.
Start knowing.

Upload your notes, sit the examination, and find out exactly where your understanding breaks down.

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