Independent advice on what to build, buy or fund next.
Our Clients
Our Advisory Services
Product, architecture, AI and investment decisions made on evidence rather than instinct. Every engagement ends in a written recommendation with costed options and a clear next step.
Find out whether an idea is worth building before you fund it.
A plan for your systems and spend that the whole leadership team can follow.
Pick the AI use cases that pay back and skip the ones that will not.
Architecture that holds up at the scale and cost you expect.
A product plan that investors, users and engineers all believe.
An independent view of what you are really buying or investing in.
Choose platforms and partners you will not regret in two years.
Cut cloud spend without slowing the product down.
Pass your audit and actually reduce risk while doing it.
Why Timing Matters
The longer a technology decision stands, the more it costs to change. Independent technology advice in the first four weeks, while a decision still lives on paper, saves you the rework of changing it mid-build or after launch.
The decision exists only on paper. Changing it means editing a document, not rewriting code.
Diagrams and an early build exist. Changing direction costs about a sprint of rework.
Features, tests and data now depend on the choice. Changing it means replanning the project.
Live data, users and integrations rely on it. Changing it needs a migration and risks downtime.
Contracts, hiring and processes are built around it. Keeping it is often cheaper than changing it.
The exact figures vary from project to project, but a few weeks of independent review up front usually costs far less than changing course once the build is under way.
AI Consulting
Our AI consulting engagement gives you a ranked portfolio of AI use cases and a costed rollout plan in four weeks. Because we build with Claude, OpenAI and Gemini models ourselves, our advice reflects what they deliver in production, not in a demo.
We assess your data quality, access and governance against the AI use cases you have in mind. You learn early which ideas your data can support today and what needs fixing first.
Every use case is scored on effort, return, data and risk, including the ones we would advise you to skip. Your leadership team gets a ranked shortlist instead of a wish list.
We write a rollout plan for the first two use cases, a governance model and running-cost estimates at your real volumes. You know what the AI will cost to operate before anything is built.
Use it with any vendor or your in-house team. There is no lock-in and no obligation to build with us.
Each use case ranked on effort and return, including the ones we would not build. You see exactly where AI pays off for your business.
Who approves what, and when a person has to review the AI’s work. Your risk and compliance teams know the rules before launch.
AI model usage, hosting and support costs estimated at your real volumes, so the running cost is known before the build is approved.
The conditions for stopping a use case, agreed in advance. Budget goes only to the ideas that prove their value.
Our Advisory Process
Every stage of our technology advisory process ends in writing, and you see findings as they emerge rather than in one final reveal. Most engagements deliver their findings in one to four weeks.
We spend half a day agreeing the decision to be made, who needs to approve it and what evidence they need to see. Everyone starts from the same question and the same definition of done.
We interview your engineering, operations and commercial teams, and review your code, cloud costs and incident history directly. Our conclusions rest on evidence from your own systems, not on assumptions.
We model two to four realistic options, each with its cost, timeline and risks, including waiting where that makes sense. You compare like with like before any money is committed.
We present our recommendation, argue the case against it with your team and revise the document where the challenge holds. What reaches your board has already stood up to scrutiny.
You receive a written recommendation, the plan behind it and a walkthrough for your approvers. We stay on call while you decide, with no obligation to hire us for the build.
Who We Advise
Pick your role to see the question you are likely bringing and what you leave with.
“Will this architecture hold, and what does it cost to change now versus later?”
Owns the technology stack, the engineering team and the delivery dates, and wants an independent second opinion. We bring a senior outside view backed by evidence from your own code.
“Is this worth building, and what is the smallest version that proves it?”
Has a business target to hit and a technical decision holding it up. We turn that decision into clear options with costs, risks and a recommended first step.
“What order should this happen in, and where is the real dependency risk?”
Runs a programme across several vendors and legacy systems, with fixed delivery dates. We map the dependencies and sequence the work so the critical path is visible to everyone.
“Are the team, the code and the plan capable of what has been promised?”
Invests in or oversees a technology business and needs an independent view of the product, code and team. We deliver due diligence written for an investment committee.
Costly Mistakes
Each of these is cheap to prevent on paper and expensive to undo once the build has started.
A polished demo wins the deal, and the gaps appear only after the contract is signed and the team is trained.
How we prevent itScripted demos on your own use cases, plus a proof of concept on real data before you sign.
Microservices and multi-region set-ups add cost long before there are users to justify them.
How we prevent itLoad modelling against your real growth plan, so you build for the next two years rather than the next ten.
The pilot works on a clean sample and fails on production data.
How we prevent itA data readiness check and stop criteria agreed before the first build.
Switching vendors later means a migration nobody budgeted for, so the contract renews by default.
How we prevent itExit and switching costs written into the selection, and contract terms reviewed before you commit.
How We Advise
We take no reseller fees or referral commissions from vendors, so the recommendation is based only on what fits you.
Every finding is traced to your code, your data or an interview. You can check each claim yourself.
Each option comes with cost, risk and a first step, so the decision can be made in the meeting.
What You Receive
Every engagement produces written deliverables that are yours to keep and ready to share with your board, your in-house team or any vendor. Take them to any build partner, including us, or act on them yourself.
What we would do and why, set out alongside the strongest arguments for the alternatives. Your approvers see the full picture, not only our preferred answer.
Phases in the right order, with the dependencies, team and time each one needs. Your delivery leads can move straight into planning the first release.
Hosting, licence, AI usage and support costs estimated at your real volumes. You know what the solution will cost to operate, not only what it costs to build.
How success will be measured using numbers you already track, and when it makes sense to stop. Budget stays tied to evidence rather than momentum.
Each major technical choice is documented with the options considered and the reasons for the decision. Future teams understand why the system looks the way it does.
We present the findings to your team and board, answer their questions and update the document where needed. Stakeholders who missed the meetings still get the full story.
Our Toolkit
Our consultants use these tools to review your systems, code and cloud costs directly. Every finding in your report is backed by evidence you can check for yourself.
Tools we use for
We use industry-leading research and collaboration tools to understand your systems, capture insights and back every finding with clear evidence.
Tools we use for
We use architecture and modelling tools to visualise systems, map dependencies and make complex setups easier to understand.
Tools we use for
We use code analysis and security tools to review code quality, identify risks and check dependencies before you build or acquire.
Tools we use for
We use cost analysis and data tools to understand cloud spend, model usage and identify opportunities for optimisation.
Tools we use for
We use governance and delivery tools to keep projects organised, track progress, ensure compliance and make collaboration seamless.
Case Studies
Selected work for retail, banking, telecom and defence teams, from brand identity and mobile apps to data platforms and AI assistants.
Panda
Redesigned search, categories and checkout for Saudi shoppers, in Arabic and English from the start.
EDGE Group
Designed one brand identity, website and print system for a defence group of 35+ entities in six clusters.
Mashreq NEO
Built one view of bank performance for leadership, plus an AI assistant that answers questions from internal documents.
Brands For Less
Designed a sign-up that adapts to each market, clearer homepage banners and a simpler cart for a retailer with 120+ stores.
Omantel
Brought incident, SLA and workload reporting into one Power BI suite for Oman’s first telecom operator.
Client Testimonials
Client Success: Panda
We reworked Panda's live app and website, from search to checkout, for shoppers across Saudi Arabia.
"They helped us produce several concepts — product design, user scenarios and much more. Deliveries were fast and high quality, letting us make a strong impression on our clients."
Shreya LadCEO, Nutroponics"They capture the vision and run with it — exceptional design and clean files for my developers. Couldn't be happier."
Brandon PugmirePresident, Imprint City"Consistently exceptional work with real dedication. We shipped an amazing app design together and I can't wait to collaborate again."
"Really pleased with the website they designed for our new brand. Fast delivery, took on every change, and a very professional finished product."
AnayaHead of Marketing, Freshminds
Client Results
Rated across every major review platform
WORK WITH US
UIUX Studio offers flexible technology advisory with a dedicated team of strategists and senior engineers. Whether you need a full technology roadmap or a second opinion on one decision, our engagement models give you independent advice when you need it.
Access dedicated strategists and senior engineers, on-site or remote, who review your plans and stay on call while you decide.
Get StartedGet clear, upfront pricing for work such as an AI readiness review, product discovery or a vendor selection, with set deliverables.
Get StartedGet a strategist or senior engineer by the hour to review an architecture, a vendor or a project plan.
Get StartedFrom retail apps and banking dashboards to a defence group rebrand, we bring proven domain knowledge to every product we design and build.
Talk to Our Team
Streaming, OTT & content platforms
Fan engagement & live data
EdTech & learning platforms
AdTech & campaign tooling
PropTech & marketplaces
Payments, banking & wealth
Digital health & patient apps
Retail & D2C platforms
Supply chain & fleet ops
B2B products & dashboards
Free Advisory Call
Spend 45 minutes with one of our strategists and a senior engineer, under NDA. You get straight advice on your plan, your architecture or your AI ideas, with no obligation to hire us.
Book a Free Advisory Call
FAQ
Product and AI discovery, IT strategy and roadmaps, AI adoption strategy, architecture consulting, digital product strategy, technical due diligence, vendor and platform selection, cloud cost reviews, and security and compliance advisory. Every engagement ends in a written recommendation with costed options.
Most engagements deliver written findings in one to four weeks, and you see findings as they emerge rather than in one final reveal. Our AI consulting engagement runs for a fixed four weeks at a fixed fee agreed on day zero.
No. The report is yours to use with any vendor or your in-house team, and there is no obligation to build with us.
Before the build starts, while the decision still lives on paper. The longer a technology decision stands, the more it costs to change: a few weeks of review up front usually costs far less than changing course mid-build or after launch.
It depends on the question and how much we need to review, and you get a written estimate before any work starts. There are three ways to work with us: dedicated strategists and engineers billed monthly, a fixed-price project such as an AI readiness review, product discovery or a vendor selection, or hourly help to review an architecture, a vendor or a project plan, billed only for the hours used.
In five steps. We agree the decision to be made, gather evidence from interviews and directly from your code, cloud costs and incident history, then model two to four realistic options, including waiting. We pressure-test the recommendation with your team and hand it over in writing.
A clear recommendation set out next to the strongest alternatives, a sequenced plan with dependencies, a run-cost model, success measures and stop criteria, architecture decision records, and a walkthrough session with your team or board.
Yes. We take no reseller fees or referral commissions from vendors, so the recommendation is based only on what fits you. Every finding is traced to your code, your data or an interview.
Yes. Reports are written to be board-ready, we walk your board or executive team through them, and we answer follow-up questions while you decide. Due diligence reports are written specifically for an investment committee.
Over four weeks we assess your data readiness, score every AI use case on effort, return, data and risk, including the ones to skip, and write a rollout plan for the first two. You also get a governance and approval model, running-cost estimates at your real volumes and stop criteria for each use case.
Code, architecture and team are assessed together. The report names key-person and knowledge risk, security and licence exposure and scalability headroom, gives a red, amber and green summary, and costs the remediation for the first 100 days.
Yes. A cloud cost review attributes spend by service and team, quantifies rightsizing and commitment savings, finds idle capacity and sets up tagging and showback. Savings are then tracked against the original baseline.
Yes. We run a gap analysis against SOC 2, ISO 27001 or DORA, build a threat model for your critical systems, prepare policies and evidence for your auditor, and check readiness before the audit window opens.
Book a free consultation with our design, engineering and AI experts. Share your idea and we’ll come back within one business day with clear next steps.
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Our Offices
UAE · Headquarters
Office OFF2-127, SMARK 2 Building, Plot No. 33-0, Ras Al Khor Industrial Second, Dubai, UAE
India
B-409, Bestech Business Tower, Sector 66, SAS Nagar, Punjab 160062
Australia
Tapleys Hill Road, Fulham Gardens, SA 5024
