Agentic & GenAI Systems
Production deployments of multi-agent AI systems, voice-first mental wellness platforms, and enterprise-grade GenAI solutions with 99.9% uptime.
MannSetu - AI Mental Wellness Platform
India's first voice-first AI mental wellness companion with real-time emotion analysis and CBT-based guidance
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.
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
- • Multilingual support (Hindi/English/Hinglish)
- • 60-second voice message processing
Wellness Features
- • CBT-based therapy guidance
- • Smart AI journaling
- • Mood tracking and analysis
Privacy & Compliance
- • End-to-end encryption
- • Data hosted on Indian servers
- • DPDP Act 2023 compliant
Accessibility & Safety
- • Free for students
- • 24/7 availability
- • Crisis support via Tele-MANAS
Technology Stack
Before vs After
❌ Before MannSetu
- • 2-4 week wait times for therapy appointments
- • ₹2,000-5,000 per session cost barrier
- • Limited Hindi/regional language support
- • Stigma preventing help-seeking behavior
- • No support during crisis hours (nights/weekends)
✅ After MannSetu
- • Instant access - zero wait time
- • Free for students, affordable for all
- • Full Hindi/English/Hinglish support
- • Private voice-first interaction (no stigma)
- • 24/7 availability including crisis support
Results & Impact
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, secure code execution, real-time collaboration, and comprehensive observability - all while maintaining 99.9% uptime.
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
- • Coder Agent: Code generation
Enterprise Features
- • Complete SaaS billing (Stripe)
- • Multi-tenant workspace management
- • Zero-downtime deployments
- • Real-time collaboration
Security & Isolation
- • E2B MicroVMs for code execution
- • Sandboxed environments per agent
- • Secure API key management
- • Rate limiting and abuse prevention
Advanced Capabilities
- • 100+ agent templates library
- • MCP (Model Context Protocol)
- • RAG pipeline with pgvector
- • React Flow workflow visualization
Technology Stack
Before vs After
❌ Before Agentify
- • 2-3 weeks for PRD to deployment
- • Manual code reviews causing delays
- • Siloed teams, fragmented workflows
- • High developer costs ($150-250/hr)
- • Inconsistent code quality across projects
✅ After Agentify
- • 3-5 days PRD to production deployment
- • Automated code review by AI agents
- • Unified 15-agent orchestration pipeline
- • 70% cost reduction on development
- • Consistent, enterprise-grade code output
Outcomes & Business Impact
FerumDeck - AgentOps Control Plane
Production-grade platform for running agentic AI workflows with deterministic governance, comprehensive observability, and measurable reliability
Problem & Context
LLMs are probabilistic and unpredictable, but production systems demand strict governance, audit trails, and budget controls. AI agents can make costly mistakes through excessive token spending, incorrect tool calls, or prompt injection attacks—with no visibility into what went wrong.
Key Challenge: Bridge the gap between probabilistic AI and deterministic production requirements with governance, observability, and reproducibility built-in.
Solution: Dual-Plane Architecture
Control Plane (Rust)
- • Deterministic state management
- • Policy enforcement & approval gates
- • Budget tracking (tokens/cost/time)
- • Immutable audit logging
Data Plane (Python)
- • Probabilistic LLM execution
- • MCP tool routing with policy checks
- • Step execution & artifact storage
- • Multi-model support (Claude, GPT-4)
Governance Features
- • Deny-by-default tool execution
- • Risk levels: Low → Critical
- • Human approval gates for high-risk
- • Automatic termination on budget breach
Observability Stack
- • OpenTelemetry + Jaeger tracing
- • Real-time token counting
- • GenAI semantic conventions
- • Visual trace exploration
Technology Stack
Before vs After
❌ Without FerumDeck
- • No visibility into agent decisions
- • Unbounded token/cost spending
- • Prompt injection vulnerabilities
- • Impossible to debug failures
- • No audit trail for compliance
✅ With FerumDeck
- • Full trace of every agent step
- • Hard budget limits enforced
- • Deny-by-default tool security
- • Step-level replay for debugging
- • Immutable audit logs for compliance
Key Capabilities
Digital Resource
Multi-Agent Systems Playbook
7 lessons learned from building 15+ production AI agents at Attri.ai. From orchestration patterns to cost optimization strategies.
- ✓ Agent orchestration patterns
- ✓ LLM cost optimization (70% reduction)
- ✓ Production reliability (99.9% uptime)
- ✓ Security & sandboxing with E2B
Build Your AI Platform
Looking to implement multi-agent systems or GenAI solutions? Let's discuss how I can help architect and build production-grade AI platforms for your organization.