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Full-Stack AI Development

Build AI Products, Not Just Demos.

We design, develop, and deploy full-stack AI systems — from user experience to model orchestration and production scale.

Talk to AI ArchitectsSee AI Use Cases

End-to-end AI Delivery Flow

UI
API
Data Pipelines
ML Models
AI Agents
Monitoring
Full-Stack AI Development

No buzzwords. Just clarity.

What “Full-Stack AI” Actually Means

Traditional Full-Stack

  • Frontend (React, Web, Mobile)
  • Backend (APIs, Databases, Auth)

Full-Stack AI

Everything above — plus the intelligence layer

  • Data engineering
  • ML / DL models
  • LLM integration
  • AI agents & workflows
  • Monitoring, retraining, governance

AI isn’t a plugin.

It’s an architecture decision.

Our AI Stack

Built as a system, not as scripts.

Every layer matters — from human experience to model operations.

Human Layer

Frontend

What we build

  • →AI-aware UX
  • →Real-time AI responses
  • →Explainable outputs
  • →Trust & feedback loops

Tech

ReactNext.jsFlutterWebSockets

Control Layer

Backend

What we build

  • →Secure APIs
  • →Model gateways
  • →Prompt orchestration
  • →Rate limits & cost control

Tech

Node.jsPythonJavaFastAPISpring Boot

Fuel

Data Layer

What we build

  • →Data ingestion
  • →Feature stores
  • →Vector databases
  • →Streaming pipelines

Tech

PostgreSQLMongoDBRedisKafkaPineconeWeaviate

Brain

ML / AI Layer

What we build

  • →ML models
  • →LLMs
  • →Fine-tuning
  • →RAG pipelines

Tech

PyTorchTensorFlowOpenAIAnthropicHugging Face

Reality Check

Orchestration & Ops

What we build

  • →AI agents
  • →Workflow engines
  • →Monitoring & retraining
  • →Cost + performance tracking

Tech

LangChainTemporalAirflowKubernetesMLOps

What we build

AI Use-Cases in Production

Real systems. Real users. Real scale.

🤖

AI Assistants & Copilots

📞

Voice AI & Call Intelligence

🧠

Decision Engines (CRM, ERP, BFSI)

🔍

Search, Recommendation & RAG

🧾

Document AI

🧑‍💻

Developer Tools powered by AI

📊

Predictive Analytics Platforms

How we deliver

Our Development Approach

Built for production. Designed for trust.

STEP 01

Problem Framing

  • →AI suitability check
  • →ROI clarity
  • →Data readiness
STEP 02

Architecture Design

  • →Model choice
  • →Cost vs accuracy
  • →Security & compliance
STEP 03

Build & Integrate

  • →Frontend + backend + AI together
  • →No siloed teams
STEP 04

Deploy & Scale

  • →Monitoring
  • →Retraining
  • →Continuous improvement

If it can’t run in production,

it doesn’t ship.

Why JSChamps

Built for Production AI, not for demos.

Straight talk

  • We’re not “prompt engineers”
  • We don’t ship toy demos
  • We think in systems, not scripts
  • We care about latency, cost, and scale
  • We blend product + AI + engineering

Proof, not promises

Architecture screenshots

Real system designs, not slideware.

Flow diagrams

From user action to model output — end to end.

Performance metrics

Latency, throughput, cost per request.

Client logos

Teams that trust us to ship real AI.

Anyone can demo AI.

We engineer it for the real world.

Ready to Build an AI Product
That Actually Works?

Book AI Architecture CallGet AI Feasibility Review

NDA friendly. Production mindset. Zero fluff.

Address

Main Road Kasia
Behind Shiv Mandir
Kushinagar-274402
Uttar Pradesh, India

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