Machine learning that ships — models embedded in your product with the pipelines and monitoring to keep them accurate.


































We integrate machine learning where it creates measurable value — recommendation, scoring, forecasting — handling data pipelines, model serving and the feedback loops that keep it accurate.
We take machine learning from data pipeline to production — building, serving and monitoring models embedded directly in your product.
Models built and tuned for your specific problem.
Reliable ingestion, cleaning and feature engineering.
Low-latency inference wired into your product.
Personalization that lifts engagement and revenue.
Demand, revenue and capacity predictions you can plan on.
Retraining, drift detection and A/B evaluation.
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 →It depends on the problem — some tasks work with a few thousand labeled examples, and we can start from pre-trained models or synthetic data when your dataset is thin, then improve as more arrives.
We start with pre-trained models or APIs when they solve the problem cheaply, and build custom models only when your data or accuracy needs justify the investment.
We monitor for data drift and performance decay in production, and set up retraining pipelines so the model stays accurate as your data and patterns change.
We serve it behind a low-latency API or embed it on-device, wired into your app with monitoring, so predictions arrive exactly where your users and workflows need them.
Book a free consultation and we will map the fastest credible path to launch.