Product Design,
Engineering and AI
That Ships

We design and build web apps, mobile apps, SaaS platforms and dashboards, with or without AI. We add AI agents, assistants and automation only where they clearly improve the product, and agree how to measure the result before development starts.

We have delivered work across 35+ industries, including retail, e-commerce, banking, telecom, defence, SaaS, healthcare and logistics. Our case studies include a unified brand for EDGE Group, executive dashboards and an AI assistant for Mashreq NEO, Power BI reporting for Omantel and shopping apps for Panda and Brands For Less.

We are 200+ designers, engineers, AI specialists and strategists working from Dubai, Mohali and Adelaide. Every project gets a team sized to its scope, and you work directly with the senior people doing the work.

Our headquarters is in Dubai, UAE, with further offices in Mohali, India and Adelaide, Australia. With offices in three time zones we can overlap with teams in Europe, the Middle East, Asia and Australia, and we plan at least three hours of overlap with your working day.

Yes. We design Arabic and English versions side by side from the first wireframe, with right-to-left layouts, Arabic typography and mirrored interactions, as we did for Panda’s grocery app and EDGE Group’s brand. Both languages get the same care, so neither feels like a translation.

Yes. We sign an NDA before you share any sensitive information, using your own agreement or our standard mutual NDA. Your ideas, data and designs stay confidential from the very first conversation.

Design, engineering and AI sit in one team, so every decision is made with the whole product in mind and designers check the built screens before release. Our work has been recognised by the Webby Awards, FWA and Awwwards, we are rated 4.9/5 on Clutch and 5.0/5 on GoodFirms, and 91% of our clients stay with us.

Yes. A discovery or prototype sprint of 2 to 4 weeks lets you test the idea with real users and a clickable prototype before you commit to a full build. You finish with a prioritised problem brief, a tested prototype and a clear estimate for the next stage.

Yes, we work with early-stage startups as well as large enterprises, and startups get 25% off their first project. Most projects are paid in cash, but for some early-stage startups we consider a mix of cash and equity and discuss it openly from the start.

Book a free consultation or send us a message, and our team replies within one business day. On the call we go through your goals, users, timeline and budget, then send a written proposal with scope, timeline and cost, usually within a few days.

There are three ways to work with us: a dedicated team billed monthly, a project with clear upfront pricing, or hourly help for quick tasks. Dedicated teams of designers, engineers or AI specialists work on-site or remotely on your roadmap, while project-based work suits defined builds such as an MVP, a design system or one AI agent for one workflow. Hourly help covers reviews, fixes and small features without a long-term commitment.

You do. Everything we create, including source code, design files, prompts, tests and documentation, belongs to you and is delivered into your own repositories and design tools. At handover we train your team on it, so you are never locked in to us.

Yes. Our designers and engineers regularly join in-house teams and work with your tools, coding standards and processes. A dedicated team can work on-site or remotely, so it operates as an extension of your own team.

Projects range from a two-week design sprint or a few hours of expert review to platform builds that run for several quarters. On the first call we suggest a starting point that fits your goals and budget, such as a discovery sprint, a prototype or a single AI pilot.

Yes. With a dedicated team you can add or remove designers, engineers and AI specialists month to month as your priorities change. We plan each change with you, so delivery keeps moving.

We stop at a clear, documented point, with the code, designs and decisions recorded in your repositories. That makes the project straightforward to restart later, with us or with your own team.

Yes. We provide ongoing maintenance and support with agreed response times, monitoring, regular updates and monthly performance and cloud cost reviews. Support runs through a dedicated team billed monthly or hourly help for smaller fixes, depending on how much change you expect.

We sign a master services agreement (MSA) and a statement of work (SOW) for each project. Dedicated teams are billed monthly, and projects with upfront pricing can be billed by milestone, so payments follow delivery.

Yes. We regularly work with enterprise procurement teams, security reviews and custom MSAs or vendor agreements. Tell us about your process on the first call and we will fit our paperwork to it.

You get weekly demos, a shared project board and a staging site that is always up to date, so you can see progress at any time. Every stage ends with a clear output, and any risk or slip is flagged the week it appears, not at the end of the project.

Yes. Most clients keep working with us on new features, scaling, support and RevOps after launch. For SEO, paid ads, content and social media, our sister agency Social Mafia can run growth marketing with a team that already knows your product.

We work in five stages: discover, design, build, launch and grow. Each stage ends with something you can review and approve, such as a tested concept, a clickable prototype or working software, so there are no surprises at launch.

We need a weekly check-in and one decision-maker who can give feedback and approve work. We handle the rest and tell you in advance when we need your input, data or access.

That is normal, and our process is built for it. We work in two-week sprints, so priorities can change between sprints, and any effect on timeline or budget is agreed with you before the work changes.

Testing runs in every sprint, combining automated tests on critical flows such as sign-up and payments, manual QA and staged releases. Before launch we run load, security and accessibility testing, including a penetration test and an audit to WCAG 2.2 AA.

Yes. When there is a hard deadline, we build the features needed for launch first and plan the rest for later releases. You see the trade-offs early, so the launch scope is agreed well before the date.

We use the tools your team already relies on, such as Jira, Linear, Notion, Slack and Figma. If you do not have a preference, we set up a simple shared workspace for the project.

You get clean repositories, design files, documentation, a walkthrough for your team and a support period. Decisions, runbooks and onboarding notes live in your repository, so anyone can pick up the work.

Your first AI agent pilot goes live in six weeks, focused on one workflow. Success measures such as accuracy, tickets resolved or time saved are agreed before development starts, and we report on them every sprint as the agent moves from pilot to production.

Yes. Much of our work is adding AI agents, assistants and automation to existing products without rebuilding them, connected to the CRM, ERP, email, support and data tools your team already uses. For Mashreq NEO, for example, we built an AI assistant that answers questions from internal documents.

We ground answers in your own data, add guardrails and test against real examples from your business before launch. Important or irreversible actions require human approval, and every decision leaves a full audit trail.

AI features only get access to the data they need, through least-privilege permissions for each tool. We keep sensitive data inside your environment wherever possible, and agree data residency, retention and redaction before any data is moved.

Only with your written permission. By default your data is never used to train shared models, and every agent action is logged with its inputs and the tools used, so you can see exactly how your data is handled.

Yes. We build agents that use tools and take actions across your systems, with scoped permissions, logging and fallbacks so they run safely in production. Irreversible steps go through human approval gates, and every action is traceable to the rule that allowed it.

We match each task to the right-sized model, cache common requests and monitor usage from day one. Because model routing stays in your hands, you can switch models as prices and quality change, so costs stay predictable as usage grows.

We design the architecture, hosting and data flows around the regulations and controls you work under, such as GDPR, HIPAA or SOC 2. Private or self-hosted models are available where data cannot leave your estate.

Yes. We connect AI features to data warehouses, CRMs, ERPs, internal APIs and third-party services, so they work from your real data. Every integration is documented and handed over with the code, so your team can maintain and extend it.