Product teams, private AI and AI-driven security testing for banks, exchanges and fintechs. Offices in the UAE, UK and Saudi Arabia.
Our team has led product delivery at
build, advise and defend
Ship the product, bring AI inside your walls, then attack it the way modern adversaries do.
Product managers, business analysts, designers and forward-deployed AI engineers who have taken digital banks, exchanges, wallets and card programmes from discovery to licence to launch.
Our forward-deployed engineers embed inside your team, work in your systems and security constraints, and turn AI pilots into production software you own.
Choose the right hardware, models and server stack to run private AI inside your company. We assess how your staff and clients will use it, size the infrastructure for real workloads and forecast the purchase, operating and energy costs before you invest.
Start with your workload, not a server shopping list. We benchmark representative tasks and peak demand, then recommend a setup with clear capacity limits, running costs and room to grow.
GPU type and count, VRAM, CPU, RAM, storage and networking matched to your workload. Compare an on-prem server with a private cloud setup before committing.
Compare open-source and open-weight models, including Qwen, DeepSeek and GLM, for quality, licensing, privacy and hardware fit. Choose model size, quantisation, retrieval or fine-tuning around your tasks.
Size for active users, simultaneous requests, context length and response-time targets. Load-test peak demand to estimate how many staff or clients each setup can support and when to scale.
Forecast electricity from measured server draw, expected utilisation and local tariffs, including cooling. Account for hardware, hosting, maintenance and support to compare total ownership costs.
Plan rack space, power and cooling, then configure drivers, containers, model serving, storage and monitoring. Add load balancing, backups and recovery so the setup can be operated reliably.
Connect models to your policies, code and documents with access controls and audit trails. Define data residency, patching and the internal staff or external support needed to run the service.
We point LLM-driven agents, tuned for offensive security, at your apps, APIs and infrastructure to push your systems past their limits. Our white-hat team verifies every finding and helps you fix it before an AI-assisted attacker gets there.
Projects
Clients across the Middle East, Europe, Africa and the USA. Projects and figures from engagements our team led.
How we engage
A short workshop to map goals, constraints and regulatory context.
A fixed proposal: team, timeline, deliverables, and test boundaries for security work.
Embedded people in your tools and rituals, reporting to your leadership.
Documentation, runbooks and coaching, so your team owns the result.
FAQs
Banks, exchanges, wallets, payment companies and fintechs, from pre-licence startups to established institutions, across the Middle East, Europe, Africa and the USA.
Yes. We place individual product managers, analysts, designers or engineers, or assemble a full squad around a launch.
Models that run on infrastructure you control. We help select hardware and models, size capacity for staff and clients, estimate energy and operating costs, and configure the server stack. We also connect approved data sources and define access controls, monitoring and support responsibilities.
Every test runs under written authorisation, an agreed scope and a schedule. Where needed we test staging first, and a human verifies every finding before it reaches your report.
Yes: scope, rules of engagement, reward tiers, triage and remediation tracking, either on a platform or as a private programme.
Contact
We reply within one working day.
Offices
UAE · United Kingdom · Saudi ArabiaClients across
Middle East · Europe · Africa · USA