Software engineering companyAI-forward · end to end
OVYRIX designs, builds and runs complete digital products - web, mobile, backend and AI - engineered to hold up when real users, real data and real load arrive.
A fashion brand’s try-on studio, where an AI stylist answers a shopper who tried a wool overcoat on with their own photo, next to the shopper’s mobile app showing the try-on. Beneath it: the try-on pipeline from photo check to GPU rendering in 2.9 seconds, guardrails for faces and consent, photos deleted after 24 hours, fit accuracy 0.94, cost €0.011 per try-on, a fixed double add-to-cart bug, and a p95 of 3.4 seconds per try-on.
Move the lens to see what we see.Tap the specimen to look closer.
02Capabilities
From the first discovery workshop to the on-call rota, the same engineers own the outcome. AI isn’t a separate department here - it runs through every layer.
Agents, LLM features and automation that survive production.
Where AI fits: AI · Evals, guardrails and cost budgets from the first commit.
Product-grade web apps, platforms and SaaS on React and Next.js.
Where AI fits: AI · Copilots, semantic search and streaming generative UI.
iOS and Android from one React Native codebase, native where it matters.
Where AI fits: AI · On-device inference, voice and camera understanding.
Services, data models and integrations designed to change safely.
Where AI fits: AI · Typed tool APIs that agents can call without breaking things.
Research, flows and interfaces designed with engineers in the room.
Where AI fits: AI · Designing for uncertain output: confidence, review, recovery.
Infrastructure as code, CI/CD, observability and cost control.
Where AI fits: AI · Model serving, GPU spend and token budgets you can see.
Senior engineers and designers who join your team and raise its bar.
Where AI fits: AI · AI-assisted delivery with mandatory human review.
Across the lifecycleDiscovery & technical strategyQA & testingLaunch, scaling & ongoing support
All servicesShipped inFashion tech & AIFinTech & cryptoiGamingHealthcareLive events & ticketingSports & wellnessB2B SaaS
Industries03Selected work
Named where clients allow it, anonymous where they don’t. Each case shows the problem, the system underneath and what changed.
01 · DRESSX · Fashion tech · AI
Shoppers hesitate when they cannot see a garment on themselves, and brands want that experience inside their own storefronts, not in a separate app.
3surfaces on one try-on pipeline: web, app and API
02 · Guardarian · FinTech · crypto on/off-ramp
Turning cards, bank transfers and wallets into crypto and back means regulation, KYC and dozens of payment rails, inside a flow short enough that people actually finish it.
170+countries the product serves
03 · Live events · high load
Major on-sales bring hundreds of thousands of fans at once, and every slow page costs both sales and search ranking.
100k+concurrent users during major on-sales
04Ask OVYRIX
AI drafts a first-pass architecture, team and plan for your specific idea, grounded in how we build. Then a senior engineer takes it from there.
BlueprintExample
Complexity
Mobile app and back office, with an AI layer with evals. First production release in roughly 17–26 weeks, starting with discovery.
05How we work
From the first call to a product people use. Each step ends with something you can see and try, not a status report.
Understand the problem.
1–3 weeks
Done whenWe agree on what to build first, and what to leave out.
Shape the product.
2–4 weeks
Done whenReal users have tried the prototype, and it works for them.
Build it, step by step.
6–16 weeks
Done whenEverything we agreed on is built and working.
Make sure it holds up.
1–3 weeks
Done whenEvery launch requirement is checked, not assumed.
Go live calmly.
1–2 weeks
Done whenThe product is live, and we can switch back to the previous version in minutes if needed.
Keep improving.
Ongoing
Done whenWhat we learn here starts the next round of work.
A product, a deadline, a system that’s getting harder to change. Tell us - an engineer, not a salesperson, replies within one business day.
Project advisor · preview
