Slow Lead Response
Buyers contact several agents at once, and the first to reply usually wins the viewing.
REAL ESTATE
Buyer enquiries answered,while interest is high.
Sarj qualifies high-intent buyers by voice and chat, shows matching properties, and books viewings into your agents' calendars.
Trusted by the fastest growing financial services.
Interactive workflows
Real property workflows,executed in real time.
Pick a workflow and talk to the agent in your own dialect, then watch it qualify the buyer and book the viewing.
Talk to the Buyer Qualification
Khaled · English · qualifies a property buyer
Caller asks about a listing. Budget, area, and timeline fill in, and the lead is tagged "High intent".
Why Sarj
Buyers go cold whileyou're on viewings.
Property leads arrive at all hours and cool fast, while agents are tied up on viewings and can't call everyone back.
Unqualified Enquiries
Agents spend hours on casual browsers instead of high-intent buyers who are ready to see a property.
Viewing Logistics
Back-and-forth over times and locations burns hours that should go to showing and closing.
Out-of-Hours Leads
Evening and weekend enquiries wait until Monday, by which time the buyer has moved on.
Proven results
Numbers that hold onpeak-volume Fridays.
Dialect understanding
Sarj98.4%
Generic Arabic LLMs~48%
When evaluated against standard Arabic models on regional speech (Najdi, Hijazi, Gulf), generic AI engines fail to recognize intent in nearly one out of two conversational calls.
+48%
Higher accuracy
vs global voice engines · Gulf dialect
4.8x
Faster voice latency
1,200ms → 250ms
0s
Call queue time
24 mins → 0 seconds
Case Studies
Built for speed.Deployed in days.
Voice Agents
Agentifying inbound support and debt collection for a leading Saudi fintech
Enterprise SDK
Zero-latency Arabic voice and document OCR directly into banking apps
Internal Automation
Handwritten claims and automating backend workflows across 40+ clinics
Claims Automation
Taking first notice of loss by voice, around the clock, for a Saudi insurer
FAQ
Frequently AskedQuestions
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).
Automate Conversations.Streamline Workflows.
Sarj AI automates complex customer interactions, extracts critical document
intelligence, and executes backend operations end-to-end.