Web & Mobile
Responsive web platforms and performant iOS and Android apps.
AI-native software studio · Est. 2018
The engineering behind
products that scale
We design, build, and launch AI-powered products for teams who think long-term.
50+
Products delivered
8+
Years shipping software
13
Team members
4
Offices · TR & CZ
01
What we do
Design. Build. Launch. Scale.
Full-stack product engineering — from first sketch to production traffic. We partner with startups and enterprises who need reliability, speed, and craft.
02
Capabilities
One team for the whole stack
No handoffs between agencies. The same engineers who architect your system also design the interface, write the code, and keep it running in production.
See what we build
gidysoft / delivery-engine
running
01 · Discover
Scope, risks and architecture — before a line of code.
Workshops with your team turn goals into a clear plan: what we build first, how it scales, what it costs.
- Product goals & success metrics
- User journeys & feature map
- Architecture & data model
- Milestones & estimate
02 · Design
Interfaces your users understand on first try.
Wireframes, a design system and clickable prototypes — tested with real users before we commit to code.
03 · Build
Two-week sprints, a demo every time.
Web, mobile, backend and AI built by one squad — reviewed, tested and visible to you from day one.
04 · Ship
Releases that are boring — in the best way.
Automated pipelines, staging that mirrors production and zero-downtime deploys to the web and both app stores.
- build
- test
- staging
- production
05 · Scale
We stay after launch.
Monitoring, performance work and new features as your users grow — the same team that built it keeps it fast.
Click a stage to explore
Cloud & DevOps
Scalable cloud infrastructure with automated CI/CD pipelines.
UI/UX Design
Research-led interface design built around real user tasks.
Architecture
Secure, high-availability systems that scale with demand.
03
AI engineering
AI that ships to production — not just to a demo
We design, build and operate LLM-powered products: agents that use your tools, search that understands your data, and the evals and guardrails that keep them honest.
- ModelsOpenAI · Anthropic · open-weight
- Stack.NET · vector search · MCP · cloud
- ChannelsWeb, WhatsApp, Instagram & voice
- QualityEvals in CI · guardrails · cost budgets
agent.run — customer-support
live
whatsappHi! Do you have weekend classes for LGS prep, and how much is the monthly plan?
intentcourse inquiry · pricing · schedule
ragknowledge_base.search("weekend LGS programme, pricing") → 3 sources
toolcalendar.slots(course: "LGS", days: "sat-sun")
guardanswer grounded in sources · tone & brand check passed
crmlead captured → sales team notified
agentYes — Saturday & Sunday groups start next week. I've shared the plan details and two open slots; want me to book a free trial lesson?
1.9 s end-to-end
$0.004 / run
eval score 0.96
Illustrative run
AI agents & MCP
Multi-step agents with tool use, MCP servers, human-in-the-loop approval and full audit trails.
RAG & hybrid search
Vector + BM25 retrieval, filters and reranking — grounded answers over your own documents and data.
LLM product features
Copilots, summarisation, extraction and structured output wired into real workflows, not demos.
Voice & multimodal
Real-time voice agents, vision and speech pipelines tuned for latency, barge-in and honest fallbacks.
Evals & guardrails
Eval suites in CI, prompt-injection defences, PII redaction and cost budgets before anything ships.
Open & on-device models
Hosted APIs or open-weight and small language models — chosen on accuracy, latency, cost and privacy.
AI agents
RAG & search
LLM evals
Voice AI
MCP
Copilots
04
How we work
An environment where passionate people thrive
01
The right people
Self-starters with space, tools and trust. Small squads own a product end to end — architecture, interface, release and the pager.
- Senior-led squads
- Direct access to the people who build
- No hand-offs between agencies
02
State-of-the-art tech
Data-informed decisions, automated pipelines and observability from day one. AI is part of how we build, not only what we sell.
- CI/CD, preview environments, feature flags
- Evals and monitoring for every AI feature
- Cloud-native .NET, native & cross-platform mobile
03
Shared values
Craft, transparency and long-term thinking. We run our own products, so we build every client system like we will maintain it for years.
- Weekly demos, honest status
- Security and performance by default
- We stay after launch
05
Technology
Advanced engineering,
elegant delivery
Production-ready stacks — .NET, native & cross-platform mobile, cloud, and AI integrations.
- ASP.NET Core Backend
- Swift iOS
- Kotlin Android
- Flutter Cross-platform
- React Native Cross-platform
- React Web
- Next.js Web
- AWS Cloud
- Azure Cloud
- OpenAI AI
- Docker DevOps
- PostgreSQL Data
06
Insights
Latest from our blog
Let's talk
Have a product in mind?
Have a product in mind?
Let's build it together.
Tell us about your idea, timeline, and stack. You'll talk directly with the engineers who will build it — and leave with a practical engineering plan.