Mobilions builds backends and APIs in Node.js and Python that stay up under real load. Clean architecture, secure by default, and ready to scale from the first commit. Web development included.
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From architecture decisions through production scaling. One team handles the database, APIs, security and deployment.
REST and GraphQL APIs built in Node.js or Python, designed around how your product and partners actually consume data. Versioning, authentication and rate limiting are built in, not added later. The contract stays stable as the product grows.
Schemas designed before code, because a weak data model is the most expensive thing to fix later. PostgreSQL or MySQL for relational data, MongoDB for flexible documents, Redis for caching and queues. Indexed, normalised and built to query fast at scale, with database integration across your existing systems.
We start with a clean modular monolith for most products, then split into microservices only when traffic, team size or integration needs justify it. Boundaries are designed up front so that migration is cheap when you actually need it.
Production backends for AI-first products. Python with FastAPI for AI, ML and data services, Node.js for the public API gateway and real-time layer, connected through a message bus. The common pattern behind modern AI SaaS in 2026.
Security designed in, not bolted on. Authentication, authorisation, encryption and audit logging built from the start. For Netherlands and EU clients, GDPR and AVG compliance is the baseline, with HIPAA-grade practices available for healthcare.
Once it is live, the same engineers keep it healthy: monitoring, performance tuning, security patches and scaling as traffic grows, backed by managed cloud services. You are never handed to a separate support desk that has never seen the code.
Most backend problems are not bugs. They are early architecture decisions, made under time pressure, that turn expensive once real traffic and real data arrive.
A wrong schema, or a monolith with no clear boundaries, can cost three times its build price in rewrites once traffic or the team outgrows it. We put senior engineering time into the data model and service boundaries up front, even on a small build, so the system can grow instead of being torn down.
We design for ten times the current load from the start: indexed databases, caching, stateless services and queues for async work. Scaling then becomes a configuration change rather than an emergency rebuild the week your product takes off.
Authentication, encryption and audit logging are part of the architecture, not a patch before launch. For regulated work like fintech software development, GDPR and AVG compliance is the baseline, so you are not retrofitting privacy after the regulator or a customer asks.
Five phases, with a tangible output at each one. Working deploys every two weeks, with monitoring in place from the start.
You describe the product and its expected load. Our engineers choose the stack, the database and the architecture: monolith or microservices, SQL or NoSQL, Node.js or Python. The recommendation comes with reasoning you can challenge.
We design the database schema and the API contract first, since those are the hardest things to change later. You get an OpenAPI spec that the frontend and any partners can build against straight away.
AI generates boilerplate, models and test scaffolding. Engineers own the architecture, security and the hard logic, as they did for the ReelEats food discovery app. Working software, with real endpoints, deploys every two weeks.
Unit and integration tests, security scanning and dependency audits. We load test against realistic traffic so the system is proven before launch, not on the day real users arrive.
Deployment runs through a CI/CD pipeline. Monitoring, alerting and logging are configured from the first deploy, the way we scaled the Banoun shopping app. The same team handles scaling and ongoing development as traffic grows.
From AI architecture to cloud deployment, design, engineering and infrastructure are handled by one team. No coordination overhead, and no gaps in quality.
Start Your ProjectA few products that show what one accountable team can ship, built to be genuinely used.
An app that helps parents find kids clothes in seconds. Live stock across every screen on iOS (Swift) and Android (Kotlin), backed by a Laravel admin panel the store team runs without engineers.
A subscription meal-delivery platform that builds personalised plans around each user's medical conditions, fitness goals and wearable data. Flutter mobile apps, Fastify API and a Vue 3 admin panel for kitchen and clinical staff.
Native iOS and Android coaching platform that connects athletes with verified coaches across every sport. Real-time booking, three user roles, transparent pricing and session-by-session progress tracking on a single custom PHP backend.
Creator monetization platform with public and private live streams, in-app gifting with real-time animations, digital wallet for earnings and live chat. Built for content creators to grow their audience and earn directly from their fanbase.
Production tools chosen by engineers who use them daily on real backend systems.
From AI architecture to cloud deployment — design, engineering and infrastructure handled by one team. No coordination overhead, no gaps in quality.
Start Your ProjectReal feedback from real clients. Here is what businesses say about working with Mobilions on their mobile and web products.
It was a wonderful experience working with Tushar, Ankit, and their team. They built a great mobile app for me and truly brought my vision to life. What stood out was not just their technical skill but their attitude: always positive, solution-oriented, and incredibly patient. They went above and beyond at every step, finding creative workarounds and staying committed even when things got challenging. Extremely professional and trustworthy. I would absolutely hire them again.
Common questions about backend development, APIs, databases and how Mobilions works with clients.
In the Netherlands, backend development typically costs between EUR 8,000 and EUR 40,000 in 2026 for most products, with enterprise systems running higher. A focused API project usually lands around EUR 8,000 to EUR 15,000, while a full backend with database, authentication and integrations starts from about EUR 20,000. Dutch agencies tend to charge either a fixed project fee or a day rate between EUR 450 and EUR 650. Before any code is written, we hand you a fixed proposal with the architecture and the price set out in plain language.
It depends on the workload, and in 2026, many teams use both. Node.js is the common choice for real-time features, API gateways and JavaScript-heavy products, while Python with FastAPI or Django is preferred for AI, machine learning and data-heavy services. The most common modern pattern for AI-first products is a split: Python for the AI and data layer, Node.js for the public API and real-time layer. We pick the right fit for your product and explain why.
Most backends take six to sixteen weeks, depending on complexity. A focused API can ship in three to five weeks, a full backend with database and integrations in eight to twelve, and a microservices platform longer. We work in two-week sprints, and each one ends with working endpoints you can test, so progress is never a mystery.
For most products in 2026, a well-designed modular monolith is the right starting point, not microservices. A clean monolith can comfortably serve tens of thousands of users, and splitting into microservices only pays off once traffic, team size or integration needs justify it. We design clear service boundaries up front so the move to microservices later is cheap rather than a full rewrite.
A simple API typically costs between EUR 4,000 and EUR 12,000 in 2026, while complex or enterprise-grade APIs run much higher. The cost depends on the number of endpoints, authentication and rate limiting, the database behind it and whether it runs serverless or on containers. We build APIs with versioning, security and OpenAPI documentation included from the start.
Security and GDPR compliance are designed into the architecture, not added before launch. That means authentication and role-based access, encryption in transit and at rest, audit logging and dependency scanning, plus AVG and GDPR compliant data flows for EU clients. For healthcare, we apply HIPAA-grade practices. Our European base in Amstelveen means compliance is the baseline, not an afterthought.
Yes, AI backends are a core part of what we do in 2026. We build production AI backends with Python and FastAPI for model serving, RAG pipelines and data services, connected to a Node.js gateway for auth and real-time features. LLM integration, vector databases and inference at scale are handled with GDPR compliant data flows.
Both. The same Mobilions team builds the backend and the interface that uses it, so the API and the screens ship together with no handoff between separate vendors. When something breaks, one engineer can trace it from the screen through the API down to the database and back.