Custom backend development
Server logic, APIs and data models built from the ground up or added to an existing product, on Node.js, Laravel, PHP or Python.
The server side your product runs on: APIs, databases, integrations and cloud infrastructure on Node.js, Laravel and Python. With AI agents and n8n workflows doing the work that used to be manual.
Server logic, APIs and data models built from the ground up or added to an existing product, on Node.js, Laravel, PHP or Python.
REST and GraphQL APIs, webhooks and connections to CRM, ERP, payment providers and other services, documented so other teams can build on them.
Authentication, push notifications, payments, file storage and sync for iOS and Android apps, designed to stay reliable and cost-effective as the audience grows.
Data models, migrations, queries and reporting on PostgreSQL and MySQL, structured so that AI features find the right data.
Containerised services on AWS with monitoring, backups, scaling and secure access, so releases are routine and problems show up early.
Refactoring or replacing a legacy server side step by step, after an analysis of the current code, processes and load, without stopping the business.
AI in this service
The server side is where AI does real work: it reads your data, calls your systems and follows your rules. Three things this adds to a backend.
OpenAI and Claude models connected to your data and tools through APIs, with access rights, logging and limits, so agents act inside the system safely.
Business processes that change often run as n8n workflows alongside the services: visible, editable by your team and connected to every tool the company uses.
Endpoints, migrations and tests are written faster with AI at the engineer's side; senior developers own the architecture and review every change.
Why Qberry
One team designs the services, the database and the integrations, so data flows cleanly from the first request to the last report.
We improve what already works instead of rewriting everything, and replace only the parts that cost you money or speed.
Authentication, encryption, access control and audit logs are part of the design, not a task left for after the launch.
Proven server-side stacks, with AI models and automation built in.
With our technical process

Project Hi Eye was initiated to make it easier for you to shop for CBD products in line with today's technology and trends.
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An automated price collection and product labeling system for monitoring competitor and supplier prices to maximize profits through dynamic pricing.
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This service marketplace facilitates the seamless hiring of professionals for a wide range of tasks, from home repairs to personal errands, ensuring convenience and quality for users.
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The company specializes in integrating payment gateways, ensuring seamless operations for e-commerce platforms, service providers, and other businesses that require efficient payment handling.
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A unified system for processing leads from all channels — validation, CRM deal creation, distribution among managers, and instant client response.
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Automated initial client interaction powered by n8n and AI — filtering non-target inquiries and passing only qualified leads to managers.
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An AI assistant answers on every channel, collects the car, problem and urgency, checks the live schedule and turns each request into a ready-to-confirm booking.
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An AI assistant answers car enquiries on every channel, collects budget, make, year, engine and market, matches live US & Korean auction cars and hands the manager a qualified buyer.
View detailsBuilding the server side of your software: business logic, databases, APIs and integrations with other systems. Today it also means connecting AI models and agents to your data, so the application works efficiently, securely and reliably.
Any web app, mobile app or platform that stores data, runs server-side logic or talks to third-party systems, and any company that wants AI agents or automation to work with its own data.
Senior engineers who work with AI at their side and own the architecture. We combine technical and business analysis to choose the development path, and the same team builds the n8n automation and the AI integrations around the backend.
A secure and scalable server side that handles growing load, keeps data consistent and connects cleanly to the rest of your tools, with performance and costs you can plan.
Node.js with TypeScript, Laravel and Symfony on PHP, Python for AI and data work, PostgreSQL and MySQL for storage, REST and GraphQL for APIs, Docker and AWS for infrastructure, and n8n for automation.
Yes. After a short audit of the code and the data we add an API layer or n8n workflows through which agents read and act, with access rights and logging, without rewriting the system. On an outdated stack the agents stay beside it, behind that layer, and AI inside the product comes with the modernised parts.
Let's talk about your project
$ qberry --how-we-work
→ scope_and_estimate/
# clear scope and estimate before we start
→ weekly_demo/
# you see working progress every week
→ one_pm_on_your_side/
# one contact who owns your project
$ launch && support ▶
no black box —you see every step