Now in Public Beta

AI-Powered Enterprise
Software Engineering
Platform

Design. Build. Modernize. Automate. Scale with AI.

MTS AI Software Factory Enterprise Studio brings together 9 specialized AI modules, 40+ enterprise technologies, and multi-LLM support to transform how your teams build, review, and deploy production software.

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9 AI Modules
40+ Technologies
Multi-LLM Support
Enterprise Ready
Claude 3.5 Sonnet
Design a microservices architecture for an e-commerce platform with 50K concurrent users
AI Architect
I'll design a scalable microservices architecture. Here's the API Gateway setup:
from fastapi import FastAPI from gateway import ServiceRouter app = FastAPI("E-Commerce Gateway") router = ServiceRouter( services=["catalog", "orders", "payments", "auth"], lb="round-robin" ) @app.middleware("http") async def rate_limit(request): return await router.forward(request)
Add circuit breaker and caching layer

Trusted by Enterprise Teams Worldwide

Accenture
Deloitte
Infosys
Wipro
TCS
Tech Mahindra

Features

Everything You Need to Build Enterprise Software

From architecture to deployment — a complete AI-powered software engineering lifecycle.

AI Code Generation

Generate production-ready code in 20+ languages with intelligent context awareness, design patterns, and enterprise best practices baked in.

Architecture Design

Design microservices, event-driven, and cloud-native architectures with AI guidance, complete diagrams, and deployment specifications.

Legacy Modernization

Transform legacy systems to modern stacks with automated migration workflows, dependency mapping, and incremental refactoring plans.

Code Review & Security

AI-powered code review with OWASP compliance checking, vulnerability scanning, and actionable best-practice recommendations.

Documentation Auto-Gen

Automatically generate BRD, FRD, API docs, user stories, and technical documentation from code, conversations, and requirements.

DevOps Automation

Generate Docker, Kubernetes, Terraform, CI/CD pipelines, and infrastructure as code — production-ready from day one.

AI Modules

9 Specialized AI Modules

Each module is trained and optimized for its specific domain of software engineering.

🏗 Software Architect — System Design Output

React SPA
→
Next.js SSR
→
Mobile App
▼
API Gateway (FastAPI)
▼
Auth Service
Catalog Service
Order Service
Payment Service
Notification
▼
PostgreSQL
Redis Cache
Kafka Events

💻 Code Generator — Spring Boot Output

1package com.enterprise.orderservice; 2 3import org.springframework.web.bind.annotation.*; 4import org.springframework.validation.annotation.*; 5 6@RestController 7@RequestMapping("/api/v1/orders") 8public class OrderController { 9 10 private final OrderService orderService; 11 12 @PostMapping 13 public ResponseEntity<OrderDTO> createOrder( 14 @Valid @RequestBody CreateOrderRequest req) { 15 return ResponseEntity.ok( 16 orderService.createOrder(req)); 17 } 18}

🔍 Code Reviewer — Analysis Results

SQL Injection Vulnerability
Critical
Raw query concatenation in user_repository.py:42 — Use parameterized queries instead.
Missing Input Validation
High
No length check on user input in auth_controller.py:89 — Add @Valid annotations.
Unused Import
Low
json module imported but never used in utils.py:3 — Remove to keep code clean.
N+1 Query Problem
Medium
Eager loading recommended in order_service.py:67 — Use select_related() to reduce queries.

🔄 Modernization Engine — Before & After

Before — Classic ASP
' VBScript - Legacy ASP Set conn = Server.CreateObject( "ADODB.Connection") conn.Open "DSN=orders" Set rs = conn.Execute( "SELECT * FROM orders") While Not rs.EOF Response.Write rs("name") rs.MoveNext Wend
After — ASP.NET Core 8
[HttpGet] public async ActionResult<List<OrderDto>> GetOrders() { var orders = await _context.Orders .AsNoTracking() .Select(o => new OrderDto { Name = o.Name }) .ToListAsync(); return Ok(orders); }

🗄 Database Assistant — Query & Results

SELECT c.name, COUNT(o.id) AS total_orders, SUM(o.amount) AS revenue FROM customers c INNER JOIN orders o ON c.id = o.customer_id WHERE o.created_at >= '2026-01-01' GROUP BY c.name ORDER BY revenue DESC LIMIT 10;
nametotal_ordersrevenue
Acme Corp1,247$892,340
TechVault Inc983$654,120
DataFlow Ltd876$521,890
CloudFirst Co754$412,560

📄 Documentation Generator — API Doc

# POST /api/v1/orders Creates a new order for the authenticated user. ## Request Body { "items": [{ "product_id": "uuid", "qty": 2 }], "shipping_address": "string", "payment_method": "card|upi|netbanking" } ## Response 201 { "order_id": "ord_abc123", "status": "confirmed", "total": 49.99 } ## Errors 400 — Invalid input 401 — Unauthorized 422 — Unprocessable entity

🚀 DevOps Assistant — CI/CD Pipeline

# .github/workflows/deploy.yml name: Deploy to Production on: push: branches: [main] jobs: build-and-deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - run: docker build -t app:$GITHUB_SHA . - run: docker push registry/app:$GITHUB_SHA - uses: azure/k8s-deploy@v1 with: manifests: k8s/ images: app:$GITHUB_SHA strategy: canary percentage: 20

🧪 QA Engineer — Test Results

Test CaseStatusDuration
test_user_registration_valid✓ PASSED0.23s
test_user_registration_duplicate_email✓ PASSED0.18s
test_order_creation_empty_cart✗ FAILED0.41s
test_payment_processing_valid_card✓ PASSED1.22s
test_inventory_decrement_on_order✓ PASSED0.34s
test_concurrent_order_same_item✓ PASSED2.01s
test_api_rate_limiting✓ PASSED0.55s
test_order_creation_empty_cart — AssertionError: Expected 400 but got 200. Fix: Add empty cart validation in OrderController.createOrder().

📊 Business Analyst — User Stories

8
As a customer, I want to browse products by category
Acceptance: Category filter, pagination, sort by price/rating. Dependencies: Catalog API.
13
As a customer, I want to complete checkout with multiple payment methods
Acceptance: UPI, cards, net banking. Payment retry, order summary. Dependencies: Payment Gateway.
5
As an admin, I want to view real-time sales dashboard
Acceptance: Revenue chart, top products, order count. Refresh every 30s. Dependencies: Analytics Service.

Technology Stack

Supported Enterprise Technology Ecosystem

From legacy systems to cutting-edge frameworks — AI that understands your stack.

🟣 Microsoft

.NET 8 ASP.NET Core Blazor C# SQL Server Azure

☕ Java

Java 21 Spring Boot Hibernate Kafka Maven

🐘 PHP

Laravel Symfony WordPress Composer

⚡ JavaScript

React Angular Vue Next.js Node.js TypeScript

🐍 Python

FastAPI Django LangChain CrewAI Flask

📱 Mobile

Flutter React Native Kotlin Swift

☁️ Cloud

AWS Azure GCP OCI DigitalOcean

🔧 DevOps

Docker Kubernetes Terraform Jenkins GitHub Actions

AI Models

Powered by Industry-Leading AI Models

Switch between models based on task complexity, cost, and performance requirements.

🟢
GPT-4o
OpenAI
Flagship model for complex reasoning, code generation, and multi-modal understanding.
🟤
Claude 3.5 Sonnet
Anthropic
Best-in-class for long-context code analysis, architecture design, and safe generation.
🔵
Gemini 2.0
Google DeepMind
Ultra-long context window with strong multi-modal capabilities for documentation.
🐋
DeepSeek V3
DeepSeek
Open-weight model excelling at code reasoning and cost-effective inference.
🦙
Llama 3.1 405B
Meta
Open-source powerhouse for self-hosted deployments and fine-tuned workloads.
🌊
Mistral Large
Mistral AI
European AI leader with strong multilingual and code generation performance.

System Design

Enterprise-Grade Architecture

Built for scale, security, and reliability at every layer.

Client Layer
React SPA
Next.js SSR
Mobile App
▼ ▼ ▼
API Gateway & Auth
API Gateway (FastAPI)
Auth Layer (OAuth 2.0 / JWT)
▼ ▼
AI Routing Layer
LLM Router (OpenRouter)
▼ ▼ ▼ ▼
AI Providers
OpenAI
Anthropic
Google
DeepSeek
Llama
▼
Data Layer
PostgreSQL
Redis Cache
SQLite (Local)

Process

How It Works

From idea to production in four simple steps.

1

Choose Your Module

Select from 9 specialized AI modules tailored to your specific software engineering task.

2

Describe Your Task

Write natural language requirements, paste existing code, or upload specifications.

3

AI Generates Solution

Get production-ready code, architecture diagrams, documentation, or test suites.

4

Review & Deploy

Iterate with AI assistance, run reviews, and ship directly to your infrastructure.

Industries

Built for Every Industry

Domain-aware AI that understands the unique requirements of your sector.

🏦

Banking & Financial Services

PCI-compliant payment systems, real-time trading platforms, KYC/AML workflows, and core banking modernization.

🏥

Healthcare & Life Sciences

HIPAA-compliant EHR systems, clinical trial management, telemedicine platforms, and medical device software.

🛒

E-Commerce & Retail

High-traffic storefronts, inventory management, personalization engines, and omnichannel fulfillment.

🏭

Manufacturing & Supply Chain

IoT integration, predictive maintenance, ERP modernization, and real-time supply chain visibility.

🏛️

Government & Public Sector

FedRAMP-compliant systems, citizen portals, document processing automation, and inter-agency data exchange.

⚖️

Insurance & Legal

Claims automation, policy management systems, document intelligence, and regulatory compliance platforms.

Pricing

Comprehensive Pricing Plans

Choose the plan that fits your team. From individual developers to enterprise organizations.

Product Editions

Select the right edition for your organization size and needs

Community Edition
Free forever
Suitable for
  • Individual developers
  • Students
  • Open source users
  • 1 User
  • Local LLM Support (Ollama)
  • Prompt Library
  • AI Code Generator
  • Documentation Generator
  • Limited AI Requests
Get Started Free
Professional Edition
₹4,999/month per user
OR ₹49,999/year
Suitable for
  • Freelancers
  • Small Software Companies
  • Development Teams
  • Everything in Community
  • GPT-5
  • Claude
  • Gemini
  • AI Architect
  • AI QA
  • AI Documentation
  • AI DevOps
  • Unlimited Projects
  • Team Workspace
Start Free Trial
Business Edition
₹2,50,000/year
10 Users Included · Extra User ₹15,000/year
Suitable for
  • SMEs
  • Startups
  • Product Companies
  • Multi-LLM
  • RAG
  • Knowledge Base
  • AI Agents
  • Jira Integration
  • Azure DevOps
  • GitHub
  • Docker & Kubernetes
  • Role Management
  • Audit Logs
Contact Sales
Enterprise Edition
₹10–50 Lakhs (Custom)
Tailored to your organization
Suitable for
  • Banks & Financial Services
  • Government
  • Healthcare
  • Manufacturing
  • Telecom
  • Unlimited Users
  • Private Deployment
  • On-Premise Option
  • Azure / AWS / Oracle Cloud
  • SAP Integration
  • Oracle ERP
  • Salesforce & SharePoint
  • SSO & Active Directory
  • Enterprise Security
  • Dedicated Support & SLA
Contact Sales

AI Modernization Package

Sold separately — Transform your legacy systems with AI-powered migration

ServiceStarting Price
Java → Spring Boot₹5 Lakhs
.NET Framework → .NET 8₹4 Lakhs
Oracle Forms → Web₹8 Lakhs
PHP → Laravel₹3 Lakhs
COBOL → Java₹15 Lakhs
Legacy to Microservices₹20 Lakhs

AI Consulting Services

Expert guidance for your AI transformation journey

ServicePrice
AI Assessment Workshop₹50,000
Enterprise AI Roadmap₹2 Lakhs
Architecture Review₹1 Lakh
AI Migration Planning₹3 Lakhs
Proof of Concept₹5 Lakhs

Implementation Charges

End-to-end implementation based on your organization size

Company SizePrice Range
Startup₹2–5 Lakhs
SME₹5–15 Lakhs
Enterprise₹20–75 Lakhs

Support Plans

Ongoing support to keep your AI platform running at peak performance

Silver
₹1 Lakh/year
  • Email Support
  • Business Hours
  • Regular Updates
Choose Silver
Gold
₹3 Lakhs/year
  • Priority Support
  • Dedicated Engineer
  • Health Check
Choose Gold
Platinum
₹10 Lakhs/year
  • 24×7 Support
  • Dedicated Team
  • Monthly Architecture Review
  • AI Optimization
Choose Platinum

Testimonials

Loved by Engineering Teams

Hear from teams who transformed their development workflow.

★★★★★

"MTS AI Software Factory Enterprise Studio cut our architecture design time by 70%. The multi-module approach means every team member finds value — from architects to QA."

RK
Rajesh Kumar
VP Engineering, FinServe Technologies
★★★★★

"We modernized a 15-year-old monolith to microservices in 3 months instead of 18. The legacy modernization module is an absolute game-changer."

SP
Sarah Petrov
CTO, MedFlow Health Systems
★★★★★

"The AI code review catches issues our entire team missed — OWASP vulnerabilities, race conditions, N+1 queries. It's like having a senior architect review every PR."

MT
Marcus Thompson
Lead Developer, ShopScale Inc

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