Outrizz AI: Event Engagement Platform

Outrizz AI runs the full event marketing lifecycle in two phases. Pre-event sourcing finds and qualifies attendees from data. On-site engagement captures booth visitors and converts them into pipeline. Built by the Mark Life and Outrizz teams, powered by AI agents.

The pipeline runs end to end: autonomous lead sourcing, AI qualification and outreach to drive attendance, then mobile-first capture and real-time conversion during the event.

Complete Event Marketing Automation

Two phases cover the whole lifecycle, from first prospect to final conversion.

Pre-Event Intelligence Pipeline

AI agents identify, qualify, and engage attendees before the event starts, maximizing ROI on every booth.

Autonomous Data Sourcing

• Multi-Source Intelligence: Automated collection from LinkedIn, industry databases, company sites, and public sources
• Event Participant Discovery: AI spots professionals likely to attend a given event from patterns and signals
• Profile Enrichment: Contact and company data built through smart scraping and verification
• Real-Time Updates: Continuous refresh and validation keep data accurate

AI Agent Qualification

• ICP Matching: LLMs score prospect fit against ideal customer profiles
• Intent Recognition: AI detects buying signals and attendance probability from behavior
• Priority Ranking: Lead scoring across qualification factors and conversion likelihood
• Custom Training: Client-specific fine-tuning on historical conversion data

Autonomous Engagement

• Personalized Outreach: Messages tailored to prospect profile, company context, and event relevance
• Multi-Channel Communication: Coordinated timing across email, LinkedIn, and more
• Meeting Scheduling: Automated calendar booking matched to prospect quality and availability
• Objection Handling: Generated responses to common objections and openers

Event Engagement Platform

On-site, booth interactions become qualified pipeline through mobile-first capture, real-time processing, and automated engagement.

Mobile Lead Capture

• Computer Vision Processing: Business card scanning extracts contact data with high accuracy
• Audio Intelligence: Context capture for instant note-taking
• Multi-Modal Input: Camera, manual entry, and voice recording
• Instant Enrichment: Automatic profile building with company intelligence and social signals

Real-Time Processing

• Instant Qualification: On-site scoring and ranking via pre-trained models
• Context Integration: Booth conversation data merged with pre-event intelligence for full profiles
• Duplicate Detection: Existing prospect records identified and merged
• Quality Assurance: Automated validation and correction for clean CRM integration

Immediate Follow-Up

• Multi-Channel Orchestration: Automated engagement across email, LinkedIn, and WhatsApp within hours
• Conversation Continuity: Agents reference the booth conversation in every follow-up
• Meeting Automation: Calendar booking scheduled by lead priority and interest
• Pipeline Integration: Clean handoff to CRM with complete interaction history

Technical Architecture

Turbo Monorepo

• Unified Development: One repo, shared tooling, linting, and TypeScript config across platforms
• Package Isolation: Dedicated packages for AI agents, database, UI, and validation
• Cross-Platform Consistency: Business logic shared between web and mobile
• Developer Experience: Hot-reload with parallel builds

AI Agent Infrastructure

• Modular AI Architecture: Separate agents for card processing, transcription, and conversation
• OpenAI Integration: GPT models for vision, language, and audio
• Type-Safe AI: TypeScript with Zod validation on every AI response
• Scalable Processing: Batched API calls with intelligent caching

Full-Stack Type Safety

• End-to-End TypeScript: Type safety from database to UI
• tRPC Implementation: Type-safe API with automatic client generation
• Schema Validation: Zod runtime validation on all data flows
• Database Types: Drizzle ORM generates types from schema

AI Agent Customization & Training

Clients train and tune AI agents to their own data, requirements, and communication style.

Client Training Sandboxes

• Custom Model Training: Fine-tune agents on historical conversions, winning sales calls, and company messaging
• A/B Testing Environment: Sandboxes to test agent configs, messaging, and engagement strategies
• Performance Analytics: Real-time metrics on engagement and conversion
• Iterative Optimization: Continuous improvement from feedback and performance data

Multi-Model Intelligence

• Hybrid AI Architecture: Multiple LLM providers combined for the best result per use case
• Specialized Agents: Dedicated models for sourcing, qualification, conversation, and follow-up
• Dynamic Model Selection: Routing to the best model per task and performance
• Failover Systems: Redundancy across providers keeps service available

Conversational Intelligence

• Sales Playbook Integration: Agents trained on client sales methodology and objection handling
• Contextual Adaptation: Conversation style adjusts to prospect role, industry, and history
• Brand Voice Consistency: Company tone held across all AI-generated messages
• Learning Mechanisms: Improves from conversation outcomes and client feedback

Platform Integration

CRM Synchronization

• Bidirectional Sync: Two-way data flow with client CRMs
• Lead Enrichment: Profiles enhanced from external data sources
• Activity Tracking: Full interaction history synced to existing systems
• Pipeline Management: Fits existing sales processes

Event Management

• Multi-Event Support: Campaigns across multiple events and venues
• Lead Attribution: Event context attached to every captured lead
• Performance Analytics: Real-time engagement and conversion tracking
• Team Collaboration: Multi-user access with role-based permissions

Mobile-First Architecture

React Native Excellence

• Expo Integration: Fast development with over-the-air updates
• Cross-Platform UI: Consistent across iOS and Android
• Native Capabilities: Camera, audio recording, and push notifications
• Offline Support: Local persistence via AsyncStorage

Progressive Web App

• Next.js 15: Latest React with server-side rendering
• Responsive Design: Adapts to desktop and mobile browsers
• PWA Features: Installable, works offline
• 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 - Conversation, text processing, tool calling, and data structuring
• Computer Vision - Business card OCR and data extraction
• Speech Processing - Multi-language audio transcription with context analysis
• Custom AI Agents - Sourcing, qualification, and autonomous engagement

Technical Setup

Monorepo Architecture

• Turbo Build System: 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

Code Quality Assurance

• TypeScript Strict Mode: Maximum type safety
• ESLint Configuration: Custom rules for React, Node.js, and TypeScript
• Automated Testing: Unit and integration tests across all packages
• CI/CD Pipeline: Automated builds, tests, and deployments

Performance Optimization

• Bundle Splitting: Optimized JavaScript delivery via code splitting
• Image Optimization: Automatic compression and format conversion
• API Efficiency: Request batching and intelligent caching
• Mobile Performance: Native optimization for iOS and Android

Team Collaboration

A collaboration between the Mark Life and Outrizz teams: technical implementation paired with deep event marketing expertise.

Platform Impact

Outrizz AI solves real business problems with modern AI. Full-stack depth, intelligent automation, measurable value.

The architecture scales AI operations while holding type safety and performance across the whole stack, from mobile capture to conversation generation.