Backend development for
the engine behind the product.
The engine behind the product. Node.js, .NET, Python, Go, Laravel, and the AI integration layer, built for concurrency, correctness, and scale.
Backend technologies we build with
Each links to a full page on how we use it, when it is the right call, and where it is not.
Node.js
Our primary backend since 2017. Multi-tenant SaaS, REST APIs, and real-time features over WebSockets.
View Node.js →NestJS
Enterprise Node.js backends with Angular-style architecture, DI, and Swagger docs built in.
View NestJS →Express.js
Lightweight REST APIs and middleware-heavy backends where you want full control and minimal overhead.
View Express.js →.NET
Enterprise APIs and complex backends where correctness is not negotiable. C#, EF Core, ASP.NET Core.
View .NET →Go
High-concurrency services, network daemons, and CLI tooling. One static binary, instant cold start.
View Go →Java
Long-lived enterprise backends on Spring Boot. The JVM ecosystem, mature tooling, and predictable ops.
View Java →Kotlin
Modern JVM language for Android and Spring backends. Null safety, coroutines, less boilerplate than Java.
View Kotlin →Rust
Performance-critical services where memory safety without a garbage collector matters. Used deliberately.
View Rust →PHP
Modern PHP 8.x with Laravel or Symfony. Custom web apps, REST APIs, and legacy modernisation.
View PHP →Laravel
SaaS platforms, REST APIs, and background job systems. Laravel 11, Inertia.js, Horizon.
View Laravel →Python
Django and FastAPI backends, data pipelines, and the glue for AI and ML workloads.
View Python →OpenAI
GPT, the Assistants API, RAG pipelines, and document intelligence, built into real products.
View OpenAI →AI Integration
OpenAI, Anthropic, and Gemini wired into production software with latency, cost, and error handling solved.
View AI Integration →Supabase
MVPs and SaaS on Postgres, Auth, Storage, Realtime, and pgvector. Fast to ship, real Postgres underneath.
View Supabase →What we build on the backend
The backend is where correctness, concurrency, and cost live. We design the data model and API contract first, then build the services on top.
Multi-tenant SaaS Backends
Tenant isolation, subscription billing, team management, and API layers. i-mve runs 510 companies and 314,500+ jobs on one codebase.
REST & GraphQL APIs
Documented, versioned, secured APIs connecting web, mobile, and third-party systems, built to survive your first 10,000 users without a rewrite.
Enterprise System Backends
Complex business logic: financial calculations, multi-step workflows, compliance rules, and integrations with the systems you already run.
AI Integration Layers
Managed gateways in front of OpenAI, Anthropic, or Gemini, plus RAG pipelines and retrieval endpoints wired into your product.
Hire Backend Developers
Skip the full build. Get vetted Node.js, .NET, Python, or Go developers embedded in your team, on your stand-ups and your roadmap, while we handle employment and payroll.
Built by AI-native engineers, so your backend is ready for agents and LLM features
We design the API surface, auth, and event model so language-model features and AI agents can consume your backend safely later, rather than bolting them on after. It is how Tully AI and Mebag were built.
Typed schemas, scoped tokens, and predictable errors so an agent can call your API without surprises.
Retrieval endpoints and event streams that feed a vector store without a nightly export job.
A managed layer in front of OpenAI, Anthropic, or Gemini with rate limits, caching, and fallbacks.
Shipped with prompt versioning, evals, and guardrails. See how we build AI →
What people ask about Backend development
Straight answers on stack choice, working in your codebase, cost, and how we start.
Do you build custom backends, or can we hire backend developers for our team?
Both. Most engagements are a fixed-price custom build. If you already have a team and need capacity, we place vetted Node.js, .NET, Python, or Go developers who work inside your workflow while we handle employment and payroll.
Node.js, .NET, Python, or Go: which backend should we use?
Node.js for I/O-heavy APIs and real-time features. .NET for complex enterprise business logic and teams that value static typing. Python for data and AI workloads. Go for high-concurrency services and tooling. We use all of them and recommend based on your requirements.
Can you take over or extend an existing backend?
Yes. We start with an architecture review: patterns, dependencies, technical debt, test coverage. Then we agree on an approach before extending or refactoring.
How do you handle API security?
JWT for user sessions, API keys for service-to-service, OAuth 2.0 for third parties, RBAC enforced at the data layer, input validation, rate limiting, and OWASP Top 10 practices. Designed in from the start, reviewed before launch.
How much does backend development cost?
We work fixed-price, not hourly. The figure depends on domain complexity. See our pricing page, or book a call for a real number.
What does the process look like?
A 30-minute scoping call, then a fixed-price, fixed-timeline proposal within 48 hours.
Need a Backend team, or a developer for yours?
Tell us what you are building.
A 30-minute call, then a fixed-price, fixed-timeline proposal within 48 hours, with a recommended stack and the reasoning behind it.