Outrizz AI: Event Engagement Platform
A comprehensive AI-powered platform that transforms offline events into pipeline-generating machines through two integrated solutions: intelligent pre-event lead sourcing and qualification, plus real-time event engagement and conversion optimization.
Outrizz AI addresses the complete event marketing lifecycle through two integrated phases: pre-event sourcing that identifies and qualifies potential attendees through data intelligence, and during-event engagement that captures and converts booth visitors into qualified pipeline opportunities. Built through collaboration between the Mark Life and Outrizz teams, this platform leverages advanced AI agents to solve complex event marketing challenges.
The system operates as a comprehensive pipeline, starting with autonomous lead sourcing from multiple data sources, followed by AI-driven qualification and engagement to drive event attendance, and concluding with mobile-first lead capture and real-time conversion optimization during events.
Complete Event Marketing Automation
Outrizz AI operates as a comprehensive two-phase solution that addresses the entire event marketing lifecycle, from initial prospect identification to final conversion.
Phase 1: Pre-Event Intelligence
- Data Sourcing: Autonomous data collection from LinkedIn, industry databases, and web sources
- AI Qualification: Intelligent lead scoring and ICP matching using advanced LLM models
- Autonomous Outreach: AI agents initiate personalized conversations to drive event attendance
- Meeting Scheduling: Automated booking of sales meetings with qualified prospects
- Pipeline Management: Complete pre-event lead nurturing and qualification workflow
Phase 2: Event Engagement
- Mobile Lead Capture: Real-time business card scanning and contact extraction
- Instant Qualification: On-site lead scoring and priority ranking
- Conversation Intelligence: Audio transcription and context capture
- Multi-Channel Follow-up: Immediate post-event engagement across all channels
- Pipeline Integration: Seamless handoff to existing CRM and sales processes
Pre-Event Intelligence Pipeline
The pre-event phase leverages advanced data sourcing and AI agents to identify, qualify, and engage potential event attendees before the event begins, ensuring maximum ROI from booth investments.
Autonomous Data Sourcing
- Multi-Source Intelligence: Automated data collection from LinkedIn, industry databases, company websites, and public sources
- Event Participant Discovery: AI-powered identification of professionals likely to attend specific events based on patterns and signals
- Profile Enrichment: Comprehensive contact and company data building through intelligent web scraping and verification
- Real-Time Updates: Continuous data refresh and validation to maintain accuracy and relevance
AI Agent Qualification
- ICP Matching: Advanced LLM models analyze prospect fit against ideal customer profiles with sophisticated scoring
- Intent Recognition: AI detection of buying signals and event attendance probability through behavioral analysis
- Priority Ranking: Intelligent lead scoring based on multiple qualification factors and conversion likelihood
- Custom Training: Client-specific model fine-tuning based on historical conversion data and preferences
Autonomous Engagement
- Personalized Outreach: AI agents craft tailored messages based on prospect profile, company context, and event relevance
- Multi-Channel Communication: Coordinated engagement across email, LinkedIn, and other channels with optimal timing
- Meeting Scheduling: Automated calendar booking with sales representatives based on prospect quality and availability
- Objection Handling: Intelligent response generation to common objections and conversation starters
Event Engagement Platform
The during-event phase transforms booth interactions into qualified pipeline through mobile-first capture, real-time processing, and immediate engagement automation.
Mobile Lead Capture
- Computer Vision Processing: Advanced business card scanning extracts contact data with high accuracy using sophisticated AI models
- Audio Intelligence: Context capture for immediate note-taking
- Multi-Modal Input: Camera capture, manual entry, and voice recording for comprehensive data collection
- Instant Enrichment: Automatic profile building with company intelligence and social signals
Real-Time Processing
- Instant Qualification: On-site lead scoring and priority ranking using pre-trained AI models
- Context Integration: Combining booth conversation data with pre-event intelligence for complete prospect profiles
- Duplicate Detection: Intelligent identification and merging of existing prospect records
- Quality Assurance: Automated data validation and correction for optimal CRM integration
Immediate Follow-Up
- Multi-Channel Orchestration: Automated engagement across email, LinkedIn, and WhatsApp within hours
- Conversation Continuity: AI agents reference booth conversations and context for personalized follow-up messaging
- Meeting Automation: Direct calendar integration with intelligent scheduling based on lead priority and interest level
- Pipeline Integration: Seamless handoff to existing CRM systems with complete interaction history
Technical Architecture
Turbo Monorepo
- Unified Development: Single repository with shared tooling, linting, and TypeScript configurations across all platforms
- Package Isolation: Modular architecture with dedicated packages for AI agents, database, UI, and validation
- Cross-Platform Consistency: Shared business logic between web and mobile applications
- Developer Experience: Hot-reload development with parallel build optimization
AI Agent Infrastructure
- Modular AI Architecture: Dedicated agents for business card processing, audio transcription, and conversational AI
- OpenAI Integration: Advanced GPT models utilization for vision, language, and audio processing
- Type-Safe AI: Full TypeScript integration with Zod validation for AI response structures
- Scalable Processing: Optimized API calls with request batching and intelligent caching
Full-Stack Type Safety
- End-to-End TypeScript: Complete type safety from database to UI components
- tRPC Implementation: Type-safe API layer with automatic client generation
- Schema Validation: Zod-powered runtime validation for all data flows
- Database Types: Drizzle ORM with automatic type generation from schema
AI Agent Customization & Training
Outrizz AI provides sophisticated customization capabilities that allow clients to train and optimize AI agents based on their specific business requirements, data, and preferred communication styles.
Client Training Sandboxes
- Custom Model Training: Clients can fine-tune AI agents using their historical conversion data, successful sales conversations, and company-specific messaging
- A/B Testing Environment: Sandbox environments for testing different agent configurations, messaging strategies, and engagement approaches
- Performance Analytics: Real-time feedback on agent performance with detailed metrics on engagement rates and conversion outcomes
- Iterative Optimization: Continuous improvement cycles based on client feedback and performance data analysis
Multi-Model Intelligence
- Hybrid AI Architecture: Strategic combination of multiple LLM providers for optimal performance across different use cases
- Specialized Agents: Dedicated AI models for data sourcing, qualification, conversation, and follow-up with domain-specific training
- Dynamic Model Selection: Intelligent routing to the most appropriate AI model based on task requirements and performance metrics
- Failover Systems: Robust backup and redundancy across multiple AI providers to ensure consistent service availability
Conversational Intelligence
- Sales Playbook Integration: AI agents trained on client-specific sales methodologies and objection handling strategies
- Contextual Adaptation: Dynamic conversation style adjustment based on prospect role, industry, and interaction history
- Brand Voice Consistency: Maintaining company tone and messaging standards across all AI-generated communications
- Learning Mechanisms: Continuous improvement through conversation outcome analysis and client feedback integration
Platform Integration
CRM Synchronization
- Bidirectional Sync: Two-way data flow with clients' CRMs
- Lead Enrichment: Automatic profile enhancement with external data sources
- Activity Tracking: Complete interaction history synchronized to existing systems
- Pipeline Management: Seamless integration with existing sales processes
Event Management
- Multi-Event Support: Campaign management across multiple events and venues
- Lead Attribution: Automatic event context addition to all captured leads
- Performance Analytics: Real-time engagement metrics and conversion tracking
- Team Collaboration: Multi-user access with role-based permissions
Mobile-First Architecture
React Native Excellence
- Expo Integration: Streamlined development with over-the-air updates
- Cross-Platform UI: Consistent experience across iOS and Android
- Native Capabilities: Camera access, audio recording, and push notifications
- Offline Support: Local data persistence with AsyncStorage integration
Progressive Web App
- Next.js 15: Latest React features with server-side rendering
- Responsive Design: Adaptive interface for desktop and mobile browsers
- PWA Features: Installable web app with offline capabilities
- Performance Optimization: Static generation with incremental regeneration
Technology Stack





Frontend Innovation
- Next.js 15 - App router with React Server Components
- React Native - Cross-platform mobile with Expo framework
- TypeScript - Complete type safety across all applications
- Tailwind CSS - Utility-first styling with consistent design system
Backend & Data
- Supabase - PostgreSQL with real-time capabilities and edge functions
- Drizzle ORM - Type-safe database operations with migration management
- tRPC - End-to-end type safety with automatic client generation
- Better Auth - Modern authentication with social provider support
AI & Processing
- Multi-Provider LLMs - Advanced language models for conversation generation and text processing, tool calling, data structuring, and more
- Computer Vision - Business card image processing and data extraction with OCR capabilities
- Speech Processing - Audio transcription with multi-language support and context analysis
- Custom AI Agents - Specialized processing for data sourcing, qualification, and autonomous engagement
Technical Setup
Monorepo Architecture
- Turbo Build System: Optimized build caching and task parallelization
- Shared Configurations: Unified ESLint, Prettier, and TypeScript settings
- Package Management: pnpm workspace with dependency optimization
- Development Tools: Automated testing, linting, and formatting workflows
Code Quality Assurance
- TypeScript Strict Mode: Maximum type safety with strict compiler settings
- ESLint Configuration: Custom rules for React, Node.js, and TypeScript
- Automated Testing: Unit and integration testing across all packages
- CI/CD Pipeline: Automated builds, tests, and deployments
Performance Optimization
- Bundle Splitting: Optimized JavaScript delivery with code splitting
- Image Optimization: Automatic image compression and format conversion
- API Efficiency: Request batching and intelligent caching strategies
- Mobile Performance: Native optimization for iOS and Android platforms
Team Collaboration
This project represents a successful collaboration between the Mark Life and Outrizz development teams. The partnership combined technical implementation expertise with deep understanding of event marketing challenges and AI-powered solution design.
Platform Impact
Outrizz AI demonstrates the power of modern AI integration in solving real business problems. The platform showcases advanced full-stack development capabilities while delivering measurable business value through intelligent automation.
The system's architecture enables scalable AI operations while maintaining type safety and performance optimization throughout the entire application stack, from mobile lead capture to sophisticated conversation generation.