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Сhoose

One team for the full software stack.

We consolidate web, mobile, cloud, and AI under a single engineering org so you don't have to coordinate three vendors. Next.js and React frontends, native iOS/Android and React Native apps, AWS and Azure cloud architecture, and LLM/automation work — designed, shipped, and operated by the same team. Built for B2B SaaS, public-sector platforms, and operator-grade internal tools.

Web Platforms — Next.js, React, Headless CMS

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We engineer SEO-optimized, lightning-fast web applications on Next.js, React, and Node.js. SSR/SSG for crawlability, component libraries for reuse, WCAG accessibility, and Core Web Vitals tuned to 90+.

Headless CMS integrations (Sanity, Contentful, Strapi) decouple content from code so marketing can move without engineering bottlenecks.

Built-in technical SEO, dynamic metadata, automated sitemaps, and CDN-cached delivery for measurable ranking and retention gains.

Mobile Apps — iOS, Android, React Native

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Cross-platform React Native for a single codebase across iOS and Android when feature parity and time-to-market matter; native Swift/Kotlin when hardware performance or platform-specific design demands it.

Offline-first sync, push notifications (Firebase/APNs), secure OAuth, realtime WebSockets, and battery-aware data payloads.

Full lifecycle including App Store and Play Store compliance, ASO, CI/CD pipelines, and crashlytics monitoring after launch.

Cloud & SaaS Architecture (AWS / Azure)

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Cloud-native infrastructure on AWS or Azure with auto-scaling, geo-redundant databases, and serverless compute for burst workloads.

Containerized microservices on Docker and Kubernetes so individual components can ship, scale, and roll back independently.

Multi-tenant SaaS architecture with role-based access control, usage-based billing, deep analytics, and strict data partitioning for regulated or enterprise clients.

AI & LLM Integration, Workflow Automation

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Custom GPT, Claude, and open-model integrations with Retrieval-Augmented Generation (RAG) so AI works on your private data — not the public internet — and never trains public models on your IP.

Machine learning pipelines in Python (TensorFlow, PyTorch) for forecasting, churn modeling, and dynamic pricing where the data justifies it.

Workflow automation across CRMs, ERPs, and marketing platforms using Make, Zapier, n8n, and custom scripts to eliminate manual data movement and reduce error rates.