See what is coming — forecast demand, churn and revenue.


































We turn your historical data into forecasts and early-warning signals — demand planning, churn prediction and anomaly detection — surfaced in dashboards your team actually uses.
We turn your historical data into forecasts and early warnings — demand, churn, anomalies and scoring — surfaced where your team decides.
Plan inventory and capacity with confidence.
Spot at-risk customers before they leave.
Early warnings on fraud and operational issues.
Rank leads and users by likelihood to convert.
Forecasts surfaced where your team decides.
Scheduled, trustworthy reports with no manual work.
No hand-offs to subcontractors — the people who design it build it.
Every decision ties back to a metric that matters to your business.
Intelligence built in, with Arabic-first thinking and Vision 2030 alignment.
Arabic and English, RTL and LTR, handled correctly from day one.
You see working progress every week, not a status report.
Clear ownership of what we build, and the freedom to pause or stop anytime.
We assess your data and prove the use case is worth building before we commit.
We select and design the right approach — classic ML, deep learning or LLM/RAG.
We train, measure against real metrics, and tune until it's genuinely useful.
The model ships inside your product with low-latency, secure inference.
We watch for drift and retrain so accuracy holds up over time.
We build with proven, modern technologies chosen for performance, security and long-term maintainability.
“Launching the Rayan perfumes line with Tamken was a great experience — quality work, fast execution, and we hit every goal. Among the best agencies in the region.”
Start with zero risk. We deliver your first sprint free — you only continue if you like what you see.
We build your first sprint at no cost. You only pay from the second sprint onward, and only if the work meets your expectations.
Claim your free sprint →Accuracy depends on your data quality and how stable the pattern is; we report confidence ranges rather than false precision, and we're honest when the horizon is too far to predict reliably.
Usually historical transactions or usage with timestamps and customer identifiers; the more clean history you have, the stronger the model — we start with what you have and improve from there.
BI tells you what already happened; predictive analytics estimates what will happen next and flags it early, so you act before the outcome instead of reporting on it afterwards.
We surface them in dashboards or push them into your existing tools — a CRM flag, an alert, a reorder suggestion — so a prediction becomes a decision inside the workflow, not a report nobody reads.
Book a free consultation and we will map the fastest credible path to launch.