What every Node.js agency says:
What Protocloud actually delivers:
Vanilla JS commonly shipped 
TypeScript strict mode enforced 
Node.js project costs depend on complexity, scale requirements, and AI integration needs. A focused NestJS REST API starts from $5,000 for a well-scoped project. A real-time WebSocket platform with BullMQ queue management and Redis typically ranges from $12,000–$30,000. Microservices architectures with Kafka and distributed tracing range from $30,000–$80,000. AI-integrated Node.js backends (OpenAI streaming, LangChain.js agents) add $5,000–$15,000. Fixed-price quote with full milestone breakdown before development begins.
A focused NestJS API (8–12 endpoints, database integration, JWT auth) takes 4–8 weeks. A real-time WebSocket platform adds 2–4 weeks. A full microservices architecture on AWS ECS takes 14–20 weeks. AI feature integration (OpenAI streaming, LangChain.js RAG pipeline) adds 3–6 weeks depending on complexity. We provide milestone-based timelines with specific dates in every contract.
We use four layers of protection: (1) TypeScript strict mode catches class of bugs at compile time, (2) ESLint rules prevent common Node.js anti-patterns like uncleaned event listeners, (3) Clinic.js profiling during development identifies memory growth under load, (4) k6 load test at 2× peak concurrency validates stable memory over 4+ hours before handover. Memory stability is a contractual deliverable, not an aspiration.
Our recommendation depends on your use case: NestJS for team-maintained enterprise APIs (enforced structure, DI, modules – best when 3+ developers work on the codebase long-term), Fastify for raw-performance APIs where throughput is the primary metric (30–50% faster than Express), and we do not recommend plain Express for new projects – the lack of structure creates technical debt that costs more than it saves. We explain the trade-offs in detail on your free strategy call.
Yes – AI integration is a primary specialisation. We integrate: OpenAI GPT-4o streaming API for real-time AI chat with token-by-token response, LangChain.js for document Q&A and agent orchestration, Pinecone for semantic search across large document collections, Anthropic Claude SDK for reasoning-heavy tasks, and AWS SageMaker for custom ML model inference. Every AI integration comes with an ROI assessment – we will tell you if the use case does not justify the cost.
Three months of free post-launch support included in every project: bug fixes and minor adjustments under 4 hours of effort at no charge, dependency security updates during the support window, Prometheus alert response, and a named account manager reachable via dedicated Slack channel with 4-business-hour SLA. Post-support, we offer monthly retainer arrangements from $1,500/month covering ongoing feature development, monitoring, and dependency management.
