Build it. Measure it. Ship it.
An AI studio registered in Egypt and the USA. We build, evaluate, and deliver observable, production-ready AI — partnering with enterprises across MENA and the USA.
"Most AI projects fail between the demo and deployment. We close that gap."
Studio type
AI Services
Registered in
Egypt & USA
Partners across
MENA & USA
Philosophy
Evaluate first
We're engineers, researchers, and domain experts working across LLMs, RAG, voice, and agentic systems. We build AI that gets measured, monitored, and shipped — not just demoed.
Auto-evaluation pipelines, benchmark design, real-time monitoring, and human-in-the-loop review. We build the system that tells you when your model breaks — before your users do.
Enterprise-grade retrieval-augmented generation designed for accuracy, measured on your documents, and deployed with full observability. Starts with a production-ready FastAPI RAG server — no infra design overhead. Scale up as your needs grow.
Intelligent agents with tool use, multi-step reasoning, and human-in-the-loop approval. Built for business workflows — with validation baked in from day one.
End-to-end voice AI — ASR, dialogue management, TTS — for Arabic and English. Dialect-aware, low-latency, and built for real call flows, not scripted demos.
Fine-tuning, instruction tuning, and training domain-specific models from the ground up. We handle data pipelines, training runs, and post-training evaluation so you own a model that actually performs.
Custom RL environments and training pipelines for agentic systems, robotics, and decision-making tasks. We design the gym, define reward structures, and train models that improve through interaction.
Training data curation, annotation pipelines, synthetic data generation, and domain-specific benchmark creation. We help you build the data assets that make your models defensible.
All pricing is indicative. Final scope and cost are agreed after a discovery call.
Legal AI · Jordan
An AI-powered legal chatbot for Jordanian law firms. Retrieves and synthesises precedents, statute references, and case law — with Arabic dialect handling built in.
Legal AI · Saudi Arabia
Contract analysis and revision system for Saudi enterprises. Flags risk clauses, suggests revisions, and tracks obligations across complex multi-party agreements in Arabic and English.
Computer Vision · Jordan
Automated quality grading and sorting for date fruit on a production line. Classifies by ripeness, defect, and size in real time — replacing manual inspection.
Client names withheld where NDA applies. More work available on request.
Shipping models to production and needing evaluation infrastructure, monitoring, and governance they can trust.
Building products where AI is the core — not a feature. You need it to work, not just demo.
Academic or industry research teams working on Arabic NLP, voice, or dialect understanding who need engineering partners.
Digital and strategy agencies building AI features for clients and needing a technical team to do it right.
You have a concept. You need to know if it works and what it would take to build it properly.
We design task-specific benchmarks covering dialectal variation (Egyptian, Gulf, Levantine, MSA), test for semantic accuracy rather than just BLEU scores, and use a mix of automated evaluation with LLM judges and human reviewers who are native speakers. We don't trust evaluation frameworks built for English models applied to Arabic without adaptation.
We instrument models with prompt-response logging, latency tracking, and evaluation scoring on every production call. Alerts fire when quality metrics degrade. We're stack-agnostic — we've built on top of LangSmith, Langfuse, and custom pipelines depending on the client's infrastructure.
It depends on the use case. We combine public datasets (filtered and cleaned), synthetic data generation using larger models, and — where quality is critical — human annotation with domain experts. We design annotation guidelines and quality assurance pipelines, not just hand off to a labeling vendor.
Yes. This is a core specialisation. We work with dialect-aware ASR, dialect-specific fine-tuned models, and TTS that doesn't sound like a news anchor. We've shipped voice interfaces in Egyptian and Gulf Arabic that users actually find natural.
For a well-scoped AI product — 4 to 8 weeks to something testable with real users. The caveat is that speed depends heavily on how clear the use case is and whether evaluation criteria are defined upfront. We always define those first — it's what keeps a fast MVP from becoming expensive technical debt.
Yes. We collaborate with academic groups on Arabic NLP, evaluation methodology, and domain-specific AI. If you're a research group with compute, data, or interesting problems — and need engineering bandwidth to move faster — let's talk.
Most agencies build to spec and hand off. We stay through production. We care whether the model degrades in 3 months — and we build the infrastructure that tells you when it does. We also have products of our own (bolder.fit, Scailor) so we understand what it takes to ship and maintain AI in a real business.
We work with a small number of clients at a time. If the timing is right, we'd love to hear what you're building.
30 minutes. We'll tell you exactly what we'd build and how.
Schedule →Read the case studies. See how we think, not just what we shipped.
Case studies →Have something specific in mind? Tell us about it.
Email us →Let's build something that matters.
