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Case Studies

Agentic & GenAI Systems

Production deployments of multi-agent AI systems, voice-first mental wellness platforms, and enterprise-grade GenAI solutions serving 15,000+ users with 99.9% uptime.

Multi-Agent Orchestration
LLM Integration
Voice AI
Production Scale
15,000+
Users Served
99.9%
Uptime
15+
AI Agents
24/7
Availability
Featured · Mental Health Tech
2024 - Present

ManSetu - AI Mental Wellness Platform

India's first voice-first AI mental wellness companion serving 5,000+ active users and 10,000+ students

Problem & Context

India faces a severe mental health crisis with a massive treatment gap. Young Indians (18-35) struggle with exam stress, family pressure, workplace anxiety, and societal expectations, but lack accessible, culturally-aware mental health support. Traditional therapy is expensive, stigmatized, and often unavailable in regional languages.

Key Challenge: Build a voice-first AI platform that provides 24/7 mental wellness support in Hindi, English, and Hinglish while maintaining privacy and cultural sensitivity.

Solution & Technical Approach

Voice-First AI Architecture

  • • Real-time emotion analysis from voice tone and pitch
  • • Multilingual support (Hindi/English/Hinglish)
  • • 60-second voice message processing
  • • Text alternatives for accessibility

Wellness Features

  • • CBT (Cognitive Behavioral Therapy) guidance
  • • Smart AI journaling with pattern recognition
  • • Mood tracking and analysis
  • • Breathing exercises and meditation

Privacy & Compliance

  • • End-to-end encryption
  • • Data hosted on Indian servers
  • • DPDP Act 2023 compliant
  • • Direct Tele-MANAS (14416) integration for crisis

Accessibility

  • • Completely free for students
  • • No credit card required
  • • 24/7 availability across Indian time zones
  • • Web and mobile applications

Technology Stack

React
Voice AI
Emotion Analysis
CBT Algorithms
Privacy-First Architecture
Hindi/English NLP
DPDP Compliant

Outcomes & Business Impact

5,000+
Active Users
Regular platform engagement
10,000+
Students Served
Free access provided
24/7
Availability
Always accessible support
Featured · Enterprise AI
Dec 2024 - Present

Agentify - Multi-Agent AI Platform

Production-grade platform orchestrating 15+ specialized AI agents for enterprise application development

Problem & Context

Attri.ai needed a production-grade platform to orchestrate 15+ specialized AI agents for enterprise application development. The platform had to support complete SDLC automation from PRD generation to deployment, handle secure code execution in isolated environments, enable real-time multi-agent collaboration, implement multi-tenant SaaS with workspace-level billing, and provide comprehensive observability - all while maintaining 99.9% uptime with zero-downtime deployments.

Key Challenge: Build an enterprise-ready multi-agent system that automates the entire software development lifecycle while maintaining security, scalability, and reliability.

Solution & Architecture

15+ Specialized Agents

  • • Orchestrator Agent: Workflow coordination
  • • PRD Agent: Requirements generation
  • • Solution Architect: System design
  • • UI Designer: Interface creation
  • • Coder Agent: Code generation
  • • Diff Agent: Change management
  • • Discovery Agent: Context analysis

Enterprise Features

  • • Complete SaaS billing (Stripe integration)
  • • Multi-tenant workspace management
  • • Zero-downtime deployments
  • • Real-time collaboration (Azure WebPubSub)
  • • Comprehensive observability (Datadog)
  • • Automated Vercel deployments

Security & Isolation

  • • E2B MicroVMs for code execution
  • • Sandboxed environments per agent
  • • Secure API key management
  • • Rate limiting and abuse prevention

Advanced Capabilities

  • • MCP (Model Context Protocol) integration
  • • RAG pipeline with pgvector
  • • React Flow workflow visualization
  • • Template generation system

Technology Stack

Claude 4.5
GPT-5
MCP
Stripe
Azure WebPubSub
E2B MicroVMs
Datadog
Vercel
PostgreSQL
pgvector
React Flow

Outcomes & Business Impact

99.9%
Platform Uptime
Enterprise-grade reliability
50%
Faster Task Completion
Measured against manual development
80%
Faster Incident Response
Real-time monitoring & alerts

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