React
Component-driven UIs for dashboards, portals, and product apps.
Technologies
Pragmatic stacks for web, mobile, commerce, AI, and cloud — chosen for maintainability, hiring reality, and production reliability.
How we build
Stacks that survive contact with production
We pick tools your team can hire for, operate, and extend — not novelty for its own sake. AVYRION ships with the same technologies we recommend to clients.
- Typed web and mobile product surfaces
- APIs and data layers with clear ownership
- Cloud, containers, and infrastructure as code
- AI assistants grounded in your systems and policies
Stack
Frontend & product surfaces
Interfaces people actually use — web, mobile, commerce, and design systems.
Next.js
App Router, SSR/SSG, and performance-minded marketing and product sites.
TypeScript
Typed front ends and shared contracts that stay maintainable as teams grow.
Flutter
Cross-platform mobile when one codebase and native feel both matter.
Shopify
Themes, Hydrogen, apps, and ops tooling that convert and fulfill.
Figma
UX flows, UI systems, and handoff artifacts engineering can ship from.
Stack
Backend, APIs & data
Services, integrations, and data layers built for reliability — not demos.
Node.js
API services, BFF layers, and real-time workloads in JavaScript/TypeScript.
Python
Data pipelines, automation, AI backends, and internal tools.
Go
High-throughput services and infrastructure-adjacent backends.
GraphQL
Flexible product APIs when clients need selective, typed queries.
PostgreSQL
Primary relational store for transactional products and reporting.
MongoDB
Document storage when flexible schemas fit the product shape.
Stack
Cloud & DevOps
Environments, CI/CD, and infrastructure you can operate after launch.
AWS
Production workloads, networking, and managed services on Amazon Web Services.
Azure
Microsoft cloud for enterprises already invested in the Azure estate.
Google Cloud
GCP when data, Kubernetes, or Google-native services are the fit.
Docker
Consistent containers from local to staging to production.
Kubernetes
Orchestration when scale and multi-service deploy cadence demand it.
Terraform
Infrastructure as code for repeatable, reviewable cloud changes.
GitHub
Repos, reviews, Actions, and release workflows teams already know.
Stack
AI & automation
Grounded assistants, bots, and workflows that cut cost without losing control.
OpenAI
Chat, embeddings, and tool-calling models behind product features.
Gemini
Google Gemini for multimodal apps, long context, and Google Cloud AI.
Anthropic
Claude models for careful reasoning, long documents, and agent workflows.
Mistral
Fast, cost-efficient European models for chat, coding, and multilingual apps.
Meta Llama
Open Llama models when you need self-host options and flexible licensing.
DeepSeek
Strong reasoning and coding models for cost-sensitive product features.
How we work
A delivery process built for clarity
We measure progress against outcomes you care about — not ticket volume. Typical MVPs land in roughly 8–14 weeks once scope is locked.
Discover
Goals, users, constraints, success metrics, and a written milestone plan before build starts.
Design
Flows, UX, and technical approach aligned to your brand, stack preferences, and compliance needs.
Build
Iterative releases with visible demos, quality checks where they pay off, and clear backlog hygiene.
Launch & support
Cloud deployment, monitoring basics, documentation, and a practical handover your team can own.
Need this stack on your product?
Tell us what you’re building — or book a short call. We’ll reply within one business day.