BEFORE / AFTER

Same model. Different data.

Flip the switch on each demo and watch what changes: an AI agent after our human review, and models trained on our human-verified Arabic data — handwriting, dialects, speech.

Interactive simulation for illustration — sample images are real items from our annotation games.

AI AGENTS · CUSTOMER SUPPORT

Same question. The right answer.

Off: the agent invents a return policy, and our reviewers flag it. On: one line is added to the agent's prompt, and the same question now gets the right answer.

Illustrative example, not client data

CUSTOMERCan I return this?

AGENT PROMPT

AGENT REPLY

Sure — return it anytime!

ReviewersInvented policy

OCR · ARABIC TEXT

Reading real Arabic text

A real item from our OCR game, exactly as it resolved: the machine read it without the final letter — every single player caught it. Same base model, different training data.

Base model: Gemini 3 Flash

MODEL OUTPUT

بالكاميرا

38%character error rate (simulated)

YOU SEND US

Scans or photos of Arabic text — signs, documents, handwriting, archives.

YOU RECEIVE

CSV or Excel with your own ID columns, plus the agreement and vote counts behind every label — and a PDF or PowerPoint report.

SAMPLE OUTPUT (real verified rows)

item	model prediction	verified label	agreement
frag_0483	بالكاميرا	بالكاميرات	5/5
frag_0117	A(EM-FY)-8[DM~FX]	A[EM-FY]-B[DM-FX]	5/5
frag_0043	بسم اش الرحمن	بسم الله الرحمن	5/5

HOW OUR QA WORKS

1. Every item is answered by 5 independent players2. Hidden attention checks score each player's trust3. Labels resolve at 80% trust-weighted consensus4. Disputed items are re-served and expert-reviewed

HANDWRITTEN MATH

Equations, symbol by symbol

Exponents, variables and operators from a worksheet — rebuilt correctly only when the model has seen thousands of human-verified examples.

Base model: GPT-5

MODEL OUTPUT

8xY+7x'−l=O

52%expression error rate (simulated)

YOU SEND US

Images of handwritten equations and formulas.

YOU RECEIVE

CSV or Excel with your own ID columns, plus the agreement and vote counts behind every label — and a PDF or PowerPoint report.

SAMPLE OUTPUT (real verified rows)

item	model prediction	verified label	agreement
eq_0001	8xY+7x'-l=O	8x^6+7x^3-1=0	5/5
eq_0007	F=kx9,x92/y2	f=k×q_1×q_2/r^2	4/5
eq_0009	y2=81x10-y	r^2=81×10^(-4)	5/5

HOW OUR QA WORKS

AUDIO · DIALECTS

Hearing the street, not the textbook

A real 10-second clip from our lesson-audio game — a Jordanian physics teacher. Off: the classic mistakes MSA-trained ASR makes. On: the transcript our players verified, word by word.

Base model: Whisper large-v3

Dialect: unknown

MODEL TRANSCRIPT

طيبالقوةالمركبةكيفبيديأحسبها؟أحيانابنعرفحسبقانوننيوتن

44%word error rate (simulated)

YOU SEND US

Audio clips — lectures, calls, field recordings, any dialect.

YOU RECEIVE

CSV or Excel with your own ID columns, plus the agreement and vote counts behind every label — and a PDF or PowerPoint report.

SAMPLE OUTPUT (real verified rows)

item	model prediction	verified label	agreement
clip_0002	كيف بيدي أحسبها	كيف بدي أحسبها	5/5
clip_0002	أحيانا بنعرف	إحنا بنعرف	4/5
clip_0006	v تربيع على r	v تربيع على r ✓	5/5

HOW OUR QA WORKS

Bring your model. We'll bring the data.

Tell us where your model breaks — we'll build the game that fixes it.

Talk to us