For companies shipping AI — and the labs training it

Your AI should work. We make sure it does.

المفروض الذكاء الاصطناعي عندك يشتغل. إحنا بنضمن إنه يشتغل.

We audit, fix, and build AI systems — for businesses in MENA and the AI labs training the models. Data, evaluation, and production builds, in Arabic and English natively.

One week · Fixed fee · No commitment after

Fixed scope. Fixed price. You own what we build.

The AI building boom is here. Most of what's being built breaks in production.

Every technology era needs its builders.

The internet had web agencies. Mobile had app studios. The AI era needs contractors — teams that design, build, inspect, and maintain the systems everyone else runs their business on. The gap is widest where we live: 400 million Arabic speakers, and models that lose accuracy the moment a customer writes in dialect. We work on both sides — natively.

Read how we work →

Start with the job you need done.

Prove it

Your AI is live — but can you prove it works? Independent assessments and validation reports for investors, regulators, and your own peace of mind.

Fixed fee · 1 week

Get an AI assessment →

Fix it & build it

From a chatbot that embarrasses you in Gulf Arabic to a document pipeline that doesn't exist yet. Fixed-scope builds, milestone payments, full handover.

Fixed price per project · 2–6 weeks

See build services →

Feed it & staff it

Evaluation datasets, licensed Arabic speech and text, human feedback data, and managed bilingual expert teams — for AI labs and data companies.

NDA first, sample second

For AI labs →

Watch it

Already shipped? AI accuracy drifts silently. Monthly monitoring from $500/month, cancel anytime.

Learn more →

Two horizons. One contractor.

Some clients need AI working in their business this quarter — automation, assistants, dashboards, trained teams. Others are building the AI products of the next decade — and need data, evaluation, and environments no one else can supply. We build on both horizons, with the same rules: fixed scope, fixed price, you own what we build.

Hybrid intelligence: how every engagement runs.

Human judgment + AI systems = hybrid intelligence. Neither alone ships to production.

Human judgment

Domain experts define what "good" means — dialect coverage, compliance boundaries, cultural correctness.

AI systems

Pipelines run at scale — ingestion, testing, retrieval, monitoring.

Hybrid intelligence

Production infrastructure

Everything lands as something you own: documented, tested, handed over.

Why us

Bilingual-native, not bolted on.

English at global standards, Arabic at native dialect fluency — Egyptian, Gulf, Levantine. We author in both.

Contractors, not a startup.

No equity, no subscriptions, no lock-in. You own every deliverable.

Domain depth.

Finance, compliance, real estate, customer operations — Sharia screening and regulatory language.

We build what we sell.

Every tool we use with clients ran on our own production systems first.

For AI labs & data companies

Need Arabic data, evaluation, or team capacity? Tell us the spec.

Start a conversation

Hybrid Intelligence — human judgment, AI systems, and data infrastructure

Infrastructure: Data & compute

The foundation everything runs on. Curated datasets, cleaned corpora, benchmarks, RL environments, and production pipelines. Without this layer, models and agents have nothing reliable to stand on.

Human: Domain experts define what good data means for Arabic, finance, compliance, and dialect.

Systems: Automation handles scale — ingestion, dedup, embedding, probe generation.

Systems: AI & automation

Speed and scale where machines excel. Eval harnesses, RAG pipelines, red-team probes, agent workflows, and continuous monitoring. Systems run 24/7 at volume humans cannot.

Human: Experts design the harness, set rubrics, and interpret edge cases.

Systems: Models and agents execute tests, retrieve, rank, and flag anomalies.

Decisions: Human judgment

Accountability where it matters. Final validation, research conclusions, preference rankings, safety calls, and handover sign-off. Production AI fails when this layer is skipped.

Human: Reviewers, QA leads, researchers, compliance specialists — native dialect and domain fluency.

Systems: Surfaces candidates and evidence; humans decide.