01
Dialect-aware ASR
Gulf, Levantine, Egyptian, and MSA — with domain-adapted acoustic models.
Expertise
Arabic-first NLP.
Dialect-aware Arabic language systems built for Gulf enterprises — not translated English models.
Practice
Expertise
Delivery
Riyadh · London · Lahore
Model
Fixed-scope · Retainer
Timeline
6–16 weeks / phase
01 — What we do
Three pillars that carry the practice.
02
Bilingual reasoning
Models that answer in the language they were asked in — with clean code-switching.
03
RTL-native UX
Interfaces designed RTL-first, not mirrored from English mockups.
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We ship this practice as a small, opinionated system — running infrastructure, evaluation harnesses, and the rituals that make leadership trust the numbers.
02 — Capabilities
What we build inside this practice.
Every engagement is scoped as a small system, not a slide deck. You get running infrastructure, documentation, and the metric-store hooks to measure it.
Scope an engagement01Arabic ASR & TTS pipelines
02Dialect classification
03Bilingual embeddings & retrieval
04Arabic-tuned LLM fine-tunes
05RTL UX component library
06Diacritization & normalization
07Named entity recognition (AR)
08Sentiment & intent (AR)
Reference architecture
How the pieces move.
03 — In production
Numbers from the field.
96%
Arabic ASR accuracy
On Gulf dialect customer calls.
2.4×
Better retrieval
On Arabic corpora vs. translated embeddings.
100%
RTL parity
With English UX on shipped bilingual products.
Ready to scope this into your stack?
Book a working session with a lead architect.