01
Native or Cross-Platform — By Design
We select stack for your constraints: time-to-market, budget, UX requirements, load, integrations. Decision is made based on risks and metrics, not preferences.
Mobile · iOS/Android · Flutter/React Native
A Mobile App That Generates Revenue — Not Just Sits in the Store
Design, development, and growth of iOS/Android products focused on metrics: conversion, retention, LTV, release velocity, and reliability under load.
NDA · Security-first · CI/CD · Analytics & A/B · Highload-ready
Mobile delivery · product metrics
An app as an asset: data, growth, retention, monetization.
We gather business requirements and translate them into product metrics. We architect for growth: from MVP to 100,000+ concurrent users. We embed analytics, experiments, and A/B testing so improvements are measurable.
Fixed discovery stage
Sprint-based development
Proof
Verifiable Results
+18%
conversion growth (e-commerce)
99.95%
key scenario uptime (fintech)
–40%
development cost (cross-platform)
2–6 weeks
to prototype and release roadmap
Use-cases
What We Build in Mobile
Not "apps in general" — specific business scenarios and monetization points.
Customer Self-Service Portal
Status tracking, payments, notifications, subscriptions, history, returns, support, loyalty programs.
Employee App
Requests, routes, warehouse/inventory, scanning, reports, SLA control, offline mode.
Marketplaces & Services
Catalog, search, recommendations, cart/checkout, chat, ratings, couriers, promo mechanics.
Expected Impact
LTV and retention growth, improved order conversion, faster releases, and lower support costs.
Who It's For
E-commerce, FinTech, services, logistics, marketplaces, enterprise systems.
E‑commerce
FinTech
Services
Logistics
Marketplaces
Enterprise Systems
Subscriptions
B2C Products
B2B Portals
And more.
Engineering
Technologies & Approach
"We're engineers, not artists": architecture, performance, security, and measurable impact.
02
AI features that pay off
Personalization, smart search, recommendations, support automation, predictive scenarios — via KPIs. We add AI only where it gives measurable impact.
03
Security and control
Data and encryption, access and audit logs, protected admin scenarios, abuse protection. Security is built into architecture, not "added at the end".
04
Growth readiness and stable releases
Caching, queues, observability, fault tolerance, load testing. CI/CD, code review, auto-tests, quality control and sprint releases — without "heroism".
Process
Pipeline: from idea to store — without chaos
Transparent stages, clear artifacts, risk control and deadline predictability.
Discovery & metrics
Goals, audience, processes, constraints, KPIs, analytics event map, experiment plan.
Prototyping
Clickable prototypes of key scenarios to "click through product" before development.
Sprint development
Increments every 1-2 weeks, demos, quality control, solution documentation.
Launch and growth
Publishing, ASO, monitoring, stabilization, data-driven improvements, support.
Tech
Technology stack
We select technologies for your goals, UX and constraints. Everything is designed for growth, security and stable releases.
Work formats and FAQ
Packages — about results and risks. FAQ — about timelines, quality and growth after release.
Discovery Sprint (1-2 weeks)
Requirements and constraints map, architectural skeleton, KPIs and event analytics, backlog and release roadmap.
MVP → Market Fit (6-12 weeks)
Key scenarios and integrations, stable sprints and demos, A/B and experiments, scaling preparation.
Scale & Performance (по KPI)
Performance optimization, load tests, observability and alerts, development TCO reduction.
From scratch or can we improve current app?
If there's a codebase, we first do quick tech audit: architecture, quality, dependencies, release risks — and propose 2-3 scenarios by timeline and cost.
How do you guarantee timelines and quality?
Through discovery stage, transparent backlog, short sprints, demos, CI/CD, code review and observability. Critical risks are identified upfront.
What about analytics and growth after release?
Event schema, funnels and A/B hypotheses are built in. After release we improve metrics iteratively based on data and user behavior.
Result examples
View all casesRequest mobile app estimate
Provide input: goals, 3-5 key scenarios, integrations, security requirements, desired platforms and timeline target. In response — stage plan, risks, stack and cost range.
While you're thinking, competitors are already implementing AI.
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