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Solutions
One partner for the full Arabic speech data lifecycle.
Collect the speech your model is missing, annotate the audio you already have, and evaluate how your system handles real Arabic — under one managed workflow.
Collect
Custom Arabic speech data
Tell us the speech your model needs. We recruit the speakers, record it, and deliver it validated.
- Dialect, region, and demographic targeting
- Scripted, prompted, or spontaneous speech
- Consent and usage rights documented
Arabic-native speech annotation
Bring your own audio. Native-speaker annotators transcribe and label it to your specification.
- Transcription, timestamps, and diarization
- Dialect, intent, and entity labels
- Code-switching identified, not ignored
Arabic voice AI evaluation
Measure how your ASR or voice agent performs on each dialect and real-world condition — before your users do.
- Dialect-level test sets
- Clean, noisy, and code-switched conditions
- Weaknesses mapped to the data that fixes them
Better together
Evaluation shows the gap. Collection closes it.
Most teams start with one service. The ones that improve fastest run the cycle: measure by dialect, collect targeted data where the model is weak, then measure again.
- Evaluate
- Find weaknesses
- Build targeted data
- Improve the model
- Evaluate again
Not sure where to start?
Tell us what your model does and where it struggles. We’ll recommend a pilot.