Sarj AI automates complex customer interactions, extracts critical document intelligence, and executes backend operations end-to-end.
A Saudi investment app moved support and early-stage collections to dialect-native Sarj voice agents, and cut peak call queues by 70%.
A Saudi investment app moved support and early-stage collections to dialect-native Sarj voice agents, and cut peak call queues by 70%.
70%Shorter peak call queues
A Saudi retail bank built Sarj voice and document capture into its app, so customers finish onboarding by speaking Arabic.
<120msIn-app voice latency
A Saudi clinic network reads, checks and files handwritten claim forms from more than 40 clinics with Sarj document agents.
80%Less manual data entry
A Saudi motor insurer takes first notice of loss by voice, 24/7 and in dialect, with most calls finished without a handoff.
65%Calls completed end to end
Sarj AI is natively trained on regional Arabic datasets - it is not an English model translated on the fly. It understands localized accents and dialects (including Najdi, Hijazi, Gulf, Egyptian, and Levantine) as well as Modern Standard Arabic (MSA).
Sarj AI automates complex customer interactions, extracts critical document
intelligence, and executes backend operations end-to-end.
