Digital products we have built
Web platforms, mobile apps, internal tools and AI features — a look at the range of work our studio in Tbilisi takes on, and how to tell whether your project is a fit.
Discovery, design, build, testing, launch and post-launch support — one team across the whole chain, so you are not coordinating separate vendors.
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The projects below represent the range of work we take on: web platforms, mobile apps, internal tools, and AI features. Some are consumer-facing, some sit entirely inside a company. We don't list client names for every project, but the product types, industries, and scope are accurate.
If the product types here resemble what you need, that's a good sign. If your project is in a sector we haven't worked in, that's not a dealbreaker, but expect more time in discovery. The best next step is a short call where you describe what you're building and we tell you honestly whether it's a fit.
Web platforms and customer portals
A large share of our web work is platforms rather than marketing sites: booking systems, customer self-service portals, and internal dashboards with role-based access. These projects usually involve authentication, third-party integrations, and reporting.
One pattern we see often in Georgia: a business has grown past spreadsheets and needs a proper system, but the internal team has no bandwidth to build it. We handle the whole thing, from database design to the admin interface their staff actually uses.
Mobile apps
Our mobile work spans consumer apps and internal field tools. Consumer apps tend to be booking, loyalty, or marketplace products. Internal apps are often simpler in interface but harder in integration, because they need to sync with existing systems.
Cross-platform builds with React Native or Flutter are common when the app needs to ship on both stores quickly. Native builds come up when performance or device features matter more than speed of initial release.
UX/UI design projects
Design projects range from full product design for new apps to focused UX audits for products that already exist. For audits, we review user flows, identify friction, and rank fixes by impact and effort.
For new products, we run discovery workshops, user interviews, and competitive reviews, then move into wireframes and high-fidelity design. Everything is delivered in Figma with a component library and specs.
AI features in production
AI work we've delivered includes document processing, support ticket triage, and internal search over company knowledge bases. These aren't demos. They run in production, with error handling and fallback behavior for when a model returns something unusable.
A common starting point is a workflow that already exists but takes too long. If a team spends several hours a day on a repetitive task, that's usually a good candidate for a first AI build.
AI & cloud solutionsInternal tools and custom software
Internal tools are the least glamorous work we do and often the most valuable. Inventory systems, scheduling tools, and reporting dashboards replace the spreadsheets and email threads that companies outgrow.
These projects usually start with a workflow review: who does what, where information gets lost, and which steps could be automated. From there, we scope a build that fits the team's actual process rather than forcing a rigid tool on them.
Industries we've worked in
Our clients span logistics, retail, hospitality, professional services, and technology. Each sector pulls the work in a different direction, so the type of product usually tells you which parts of the build mattered most.
We don't claim to know every industry. When we take on a new sector, we spend more time in discovery, and we say so upfront.
Delivery scope: what we handle end to end
For most projects, we handle discovery, design, build, testing, launch, and post-launch support. You don't need to coordinate separate design and development vendors unless you already have one you want to keep.
Where we plug into an existing team, we adapt to their tools and process. Where we own the whole project, we bring our own.
Discovery and scoping
We map the workflow you have now, agree what the first release must do, and write down what stays out of scope so nobody discovers it halfway through the build.
Design
Flows, wireframes and high-fidelity screens delivered in Figma, with a component library your team can reuse if they take the product in-house later.
Build and integration
Web platforms, mobile apps and AI features built against your existing systems — payment providers, CRMs, internal databases, and the third-party services already in your stack.
Testing and launch
We test on real devices and real data before release, then handle the rollout and watch the first weeks of live traffic with you.
Post-launch support
Fixes, small improvements and monitoring continue after go-live. Support terms are agreed per project rather than sold as a fixed package.
Where we say no, and where we take longer
We turn down projects where the budget and the goal do not meet, and we say so before you sign anything. We also turn down work that needs a sector specialist we are not — a regulated medical device, for example, belongs with a team that has done it before. When your project sits in a sector we have not worked in, expect a longer discovery phase and more questions from us in the first two weeks.
Everything above describes the kind of work we do and how we run it. It is not a claim about results, and it is not a promise about timeline — those depend on the scope we agree together.
Questions buyers ask us
Can you show me a specific project similar to mine?
We can walk you through projects in the same product category — a booking platform, an internal dashboard, a mobile field tool — and describe the scope, the integrations and the decisions we made. We do not publish client names or screenshots for every project, so on a call we tell you which references we can share and which we cannot.
Do you work with existing codebases?
Yes. Plenty of our work starts inside a system someone else built — adding a customer portal to an existing back office, extending an internal tool, or wiring an AI feature into a workflow that already runs. We review the codebase first and tell you honestly whether extending it is cheaper than rebuilding it.
How do you scope a project before we commit?
Discovery comes first. We look at the workflow, list what the first release needs, and mark what can wait. You get that written down before the build starts, so the scope is something we agreed on rather than something we assumed.
Can you work with a team we already have in-house?
Often, yes. We join your tools, your repositories and your standups, and we hand over documentation as we go so your team is not dependent on us to keep the product running. If you already have a design or development partner you want to keep, we can work alongside them instead of replacing them.
What does a first AI build usually look like?
Most start small and stay useful: one repetitive step inside a workflow that already exists. We build it with fallback behaviour so the process still works when a model returns something unusable, then measure whether the time saved is real before expanding it to the next step.
Tell us what you are building
A short call is usually enough to tell whether your project fits the kind of work on this page. You describe the product and the constraint you are working with; we tell you honestly whether we are the right studio for it, and what the first step would look like if we are.