Technology

Stack for business systems that need to run in production

We combine modern web, backend, mobile, data, AI and automation tools into one architecture. The stack changes by project, but the principle stays the same: clean data, reliable APIs, usable interfaces and observable production delivery.

Next.js logo
Next.js
React logo
React
TypeScript logo
TypeScript
Tailwind CSS logo
Tailwind CSS
Radix UI logo
Radix UI
FastAPI logo
FastAPI
PostgreSQL logo
PostgreSQL
Redis logo
Redis
RabbitMQ logo
RabbitMQ
n8n logo
n8n
OpenRouter logo
OpenRouter
Google Ads logo
Google Ads
Meta logo
Meta
Stripe logo
Stripe
Telegram logo
Telegram
WhatsApp logo
WhatsApp
Swift logo
Swift
Docker logo
Docker
Caddy logo
Caddy
GitHub Actions logo
GitHub Actions
Prometheus logo
Prometheus
Grafana logo
Grafana
Architecture Layers

How the technology becomes a working system

01

Business workflow

We map clients, orders, appointments, routes, inventory, tasks, owners, approvals and reporting needs before the system design is finalized.

02

Data model

We define the entities, statuses, permissions, history, source tracking and validation rules that make automation and BI reliable.

03

Product surfaces

We design the admin panel, customer portal, mobile app, dashboard or chatbot around the roles that use the system every day.

04

Automation layer

We connect APIs, webhooks, scheduled jobs, notifications, AI agents and human approval points so work moves without manual chasing.

05

Production operation

We deploy with Docker, reverse proxy, CI/CD, access control, monitoring, logs and a release path that can survive real usage.

Technology Stack

Production stack for systems that combine product, operations, data and AI

We choose technology around the business workflow, then build with the same production habits used in Planerix, WODAO and CRM Beauty: clean data models, reliable APIs, usable admin panels, automation logs, deployment gates and room to scale.

Web

SaaS, admin panels and portals

Mobile

Customer and field apps

AI/BI

Agents, dashboards and data layers

Product & Web

Fast, maintainable interfaces for SaaS platforms, admin panels, portals, dashboards and landing funnels.

Next.jsReactTypeScriptTailwind CSSRadix UIReact Hook FormZodRecharts

Backend & APIs

Business logic, domain models, integrations, permissions and operational APIs that can support real teams.

FastAPINode.jsPostgreSQLSQLAlchemyAlembicRedisRabbitMQREST APIs

Data, BI & AI

Reporting layers, semantic models and AI assistants grounded in approved business context.

Data warehouse layersSemantic martsGA4Google AdsMeta AdsQdrantRAGOpenAIOpenRouter

Automation & Integrations

Event-driven workflows across CRM, messengers, email, payments, forms, spreadsheets and internal systems.

n8nWebhooksStripeEmail APIsTelegramWhatsApp flowsGoogle APIsCustom middleware

Mobile & Field Operations

Mobile workflows for customers, couriers, operators and teams that need the system outside the office.

SwiftUIiOSCustomer appsCourier appsPush notificationsProof captureRoute execution

Production & Security

Deployment, observability, backups and access control for systems that must run beyond the first demo.

DockerCaddyGitHub ActionsLinuxUFWFail2banPrometheusGrafanaLoki

Tools and platforms we work with

From frontend and backend foundations to AI, automation, payments, communication channels and observability.

Next.js logo
Next.js
React logo
React
TypeScript logo
TypeScript
Tailwind CSS logo
Tailwind CSS
Radix UI logo
Radix UI
FastAPI logo
FastAPI
PostgreSQL logo
PostgreSQL
Redis logo
Redis
RabbitMQ logo
RabbitMQ
n8n logo
n8n
OpenRouter logo
OpenRouter
Google Ads logo
Google Ads
Selection Logic

We choose tools by operational risk, not by trend

The right stack depends on the process: number of users, integrations, mobile needs, reporting depth, AI boundaries, data quality and production support requirements.

The database model supports future reporting and automation
Admin panels are designed for non-technical daily operators
APIs and webhooks include error handling and logs
AI agents use approved knowledge and escalation rules
Mobile workflows stay connected to the same business state
Deployments include monitoring, rollback thinking and access control

Build the AI execution environment behind your business operations

Start with an operational systems audit. We will map workflows, data, tools, AI opportunities and bottlenecks, then design the ERP/CRM, automation, analytics, mobile or AI execution layer that creates the clearest business impact.