We build streaming AI features, RAG pipelines and intelligent automation directly into Node.js — so your product ships faster, converts better, and scales with demand.
From a first AI feature to a full RAG-powered platform — our team ships production-grade, AI-ready Node.js systems built to grow your business, not just your backlog.
Four ways AI is compounding into real growth right now — faster releases, higher conversion, fewer support tickets. We build there first, before the category gets crowded.
Cloudflare Workers AI, Vercel Edge, Bun and Deno put inference next to your users — cutting AI response time from seconds to milliseconds.
Enterprise teams standardise on NestJS and tRPC so AI endpoints ship with the same structure and reliability as the rest of the product.
Socket.io and WebRTC turn AI from a slow background job into a live, streaming assistant — the experience users now expect by default.
LangChain and RAG-backed Node services convert better than static search — and it's still the least-contested lane among Indian-agency competitors.
Most Node backends were never designed for AI response times or intelligent features. Here's the shift we take clients through.
Click a reason to see the proof.
Our engineers maintain and contribute to the Node.js, NestJS and LangChain.js ecosystems.
tRPC, Bun, Deno, edge runtimes and streaming AI — we build on where the ecosystem is heading, not where it was.
Case studies with real outcomes, not anonymized logos — ask us for references on your first call.
Fixed-scope, dedicated pod, or staff-augmentation — pick the model that fits your delivery risk.
Node.js India rebuilt our real-time bidding service on Fastify and cut p99 latency by 64%. They shipped faster than our internal team estimated.
They built our LangChain-powered archive search in six weeks. Search-driven engagement jumped noticeably in the first month — readers finally find what they're looking for.
We asked for references before signing and got three named clients who could vouch for how fast their AI features actually shipped — not case-study logos with no one behind them.
We picked staff-augmentation to add AI capability to our platform mid-project, and the billing switched over cleanly — no renegotiation drama, no surprise fees.
They embedded a NestJS pod inside our team in under two weeks and shipped our first AI feature within the month. No surprises, no scope creep.
Our AI fraud-scoring pipeline needed to be auditable and fast. Node.js India delivered a PCI-aware Fastify service that passed compliance review on the first pass.
We needed a live AI recommendation engine that could hold up at scale during live events. They built it, load-tested it, and it hasn't dropped a session since launch.
We calibrate architecture, compliance and AI readiness to the industry — not a one-size-fits-all backend. Click an industry to see what we build.
Multi-tenant APIs, AI-powered onboarding, billing pipelines, and integration layers for product-led growth teams. Read More
Low-latency delivery, live AI chat and WebRTC infrastructure for publishers and streaming platforms. Read More
Auditable transaction pipelines, AI-powered fraud detection, and Stripe / payment-rail integrations. Read More
Catalog, checkout and AI-powered product recommendations for headless storefronts and multi-vendor marketplaces. Read More
Content, classroom and AI-tutoring APIs for publishers and learning platforms with subscription paywalls. Read More
Real-time tracking and AI-powered route optimization for fleet, warehouse and last-mile delivery platforms. Read More
"Our AI feature gets slow the moment usage spikes."
Usually a single-region deploy with no caching layer. We move hot paths — including AI inference — to edge runtimes with a Redis-backed cache and load-test before launch.
"Our Express monolith can't be deployed independently anymore."
We map domain boundaries and split it into NestJS microservices — including a dedicated AI service — with a phased, zero-downtime migration plan.
"We need real-time AI features but our API is REST-only."
We add a Socket.io or WebRTC layer so AI responses stream live, without touching the REST API that already works.
"We shipped an AI feature but responses feel slow."
Most AI UX problems are a streaming problem, not a model problem — we wire up token streaming so users see output immediately.
"We deploy manually and it's slowing the team down."
We stand up CI/CD from week one — every merge, including AI prompt and model changes, ships to staging automatically, with a one-click production promote.
When an AdTech platform needed sub-100ms bids, we delivered. When a SaaS company needed to scale without downtime, we engineered it. When a publisher needed AI-powered search across their archive, we shipped it — and growth followed.
A real-time bidding platform was losing auctions to latency, with p99 response times over 300ms during peak traffic.
We re-architected the hot path on Fastify with a Redis-backed edge cache and shipped a phased, zero-downtime migration.
A billing-heavy Express monolith couldn't be deployed independently anymore, and every release risked the whole platform.
We mapped domain boundaries and re-platformed onto NestJS with gRPC service boundaries, migrating in phases with zero downtime.
Readers couldn't search decades of archived content by meaning — only exact keyword matches on a slow legacy search index.
We built a token-streaming Q&A service on a LangChain RAG pipeline indexed across the full archive.
Architecture review — including where AI fits — and a written scope with timeline and cost.
System design, API contracts and AI/prompt architecture signed off before code ships.
Two-week sprints, CI/CD from sprint one, staging for continuous review.
Automated coverage, load testing and AI output evaluation before anything reaches production.
Production cutover, observability setup, and an SLA-backed support window.
Continuous performance, cost and model tuning as usage grows — your product keeps improving after launch.
We only staff Node.js-framework specialists with real AI-integration experience — engineers who've shipped NestJS, Fastify, LangChain or edge runtimes in production, not generalists learning on your project.
An architecture review call, a written scope with timeline and cost, then sprint one starts with CI/CD already wired up.
Yes — AWS, GCP, Azure, Vercel and Cloudflare are all standard for us; we integrate into your pipeline rather than replacing it.
Yes — a free 30-minute architecture review, no obligation to proceed. Book it from the contact page.
Book a free 30-minute consultation. We'll review your architecture and give you a straight answer on scope, stack, timeline — and where AI fits.