TECHNICAL
Why eval harnesses beat prompt engineering.
Every X01 project starts with deterministic tests for stochastic systems. Here's why.
Applied models, agents, and RAG pipelines built for production - with evaluation, guardrails, and cost control from day one.
Next.js, Laravel, Node, Postgres. Frontend, backend, and infrastructure - one team, one contract, one accountable delivery.
Native iOS/Android and cross-platform builds - from first onboarding to store operations and long-term retention.
Cross-platform desktop apps for internal ops, industrial control, and creative pipelines - Electron, .NET, and native shells.
Threat modelling, pentests, and hardening - with the paper trail your regulators and auditors need.
Deterministic tests for stochastic systems, versioned against your real traffic.
Every model call passes through a policy layer you can inspect and defend.
Cheaper inference where it fits, premium models only where they earn it.
Audit trails, reviewer queues, and rollback - not an afterthought.
Every X01 system starts the same way - messy, real-world signal from your operation.
Not a consultancy. Not an agency. A studio that owns the outcome from scope to Monday morning.
A working system in front of real users fast, then hardened against what you learn.
12 mo rolling.
No handoffs. No sub-contractors. No finger-pointing between vendors when it breaks at 3 AM.
Built for GCC compliance from day one, not bolted on later.
Most AI projects break the day a real user touches them. We build for that day, first.
What breaks when this ships - cost, latency, compliance, hallucination - is where we start. Not the model, not the demo.
READ MORE ->Small, opinionated teams. A working system in front of real users fast, then hardened against what you learn.
READ MORE ->Evaluation, monitoring, and cost controls stay with the system. AI that quietly works on Monday morning is the deliverable.
READ MORE ->We stay small on purpose. The people who scope the system are the people who ship and run it.
Drives operational execution and corporate strategy across enterprise ventures. Scales internal processes, aligns cross-functional execution, and ensures delivery against core business outcomes.
Hands-on engineering lead with expertise across web architecture, platform delivery, and cybersecurity. Owns the end-to-end technical infrastructure and product security posture.
Combines financial oversight with data-driven market acquisition and growth strategy. Manages capital allocation while driving brand scaling and enterprise ROI.
Multilingual voice AI for a regional telco, taking 60% of tier-1 support autonomously.
End-to-end Next.js + Laravel build for a co-brokerage network - from listings to KYC to payouts.
Offline-first cross-platform app for construction inspectors, deployed to 4 megaprojects.
Threat model, red-team engagement, and remediation for a licensed regional fintech before audit.
Short essays on the engineering behind production AI, published quarterly.
Every X01 project starts with deterministic tests for stochastic systems. Here's why.
Dialect handling, code-switching, and confidence estimation in real production traffic.
A repeatable model-routing pattern we deploy across every stack we ship.
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Fixed-scope builds of production AI systems, and longer partnerships where we own operation and evolution of the system after launch.
Real estate, financial services, construction and industrial safety, and government-facing services in the UAE and wider GCC.
Both. We start with the best model available for the task, then decide what - if anything - is worth training or fine-tuning ourselves.
Consultancies deliver slides and hand off. We deliver a system that stays live, and we stay accountable for it.
Tell us what breaks in production today. We'll tell you honestly if AI is the right lever.