Glue42
powered by 
Enterprise AI transforming marketing data into actionable intelligence through natural language queries and predictive analytics
Built for enterprise clients managing 1,000+ locations across the country. Google Analytics, Meta, TikTok, web scraping, real-time data streams, and predictive AI.
Your marketing performance at a glance. AI-generated narrative, hero ROAS metric, predictive forecasts, and live alerts with recommended actions.
Know where you stand. Side-by-side competitor comparison with share of voice, spend estimates, and strategic recommendations.
What needs your attention right now. Priority-ranked alerts with severity levels, 24-hour trends, and one-click actions.
See exactly where every dollar goes and what it returns. Channel-by-channel performance with spend optimization recommendations.
Rank every franchise location. See who's winning, who needs help, compliance status, and per-location ROI proof for franchisees.
Understand the customer journey from first touch to purchase. Clean path analysis showing which channels drive awareness vs conversion.
Every creative asset graded and tracked. Performance scores, fatigue detection, compliance monitoring, and rotation recommendations.
Location performance mapped. Instantly see which regions are thriving and which need attention, with AI-identified expansion opportunities.
Your entire marketing ecosystem connected. Campaigns, audiences, locations, and creative assets — see how they work together and where the gaps are.
See all 9 intelligence modules in action with Orangetheory Fitness sample data
End-to-end data flow from platform connectors to actionable insights and automated actions
What exists in LVNG vs. what needs to be built for GlueIQ
Platform-specific API integrations for marketing data ingestion with OAuth, rate limiting, and normalization.
Scheduled data extraction, transformation, and loading with BullMQ job queue and retry logic.
Core relational database with vector extension for semantic search and embeddings storage.
Neo4j AuraDB for entity relationships, enabling contextual queries across campaigns, audiences, and insights.
YAML-defined business metrics with automatic SQL generation, thresholds, and anomaly detection.
Claude-powered natural language understanding, query routing, and insight generation.
Human-in-the-loop approval system for AI-recommended actions with write-back to ad platforms.
React component library with dynamic rendering based on AI responses and data types.
v1 REST API for CRUD operations, v2 Intelligence API for natural language queries
Per-platform API requirements, authentication, and data endpoints
YAML-defined business metrics with automatic SQL generation
Cost-optimized AI routing with context engineering for maximum efficiency
Used for complex multi-step reasoning, strategic recommendations, and nuanced analysis.
Default model for most queries - fast, accurate, cost-effective.
Cost-optimized for bulk processing and simple transformations.
Classifies query complexity and routes to optimal model.
Leveraging LVNG infrastructure significantly reduces development costs vs. greenfield
DigitalOcean K8s, managed databases, CDN
K8s: $300-500 Supabase: $75-300 Neo4j: $65-200 $500-1,200/moClaude API, embeddings, platform API calls
Claude: $300-2,000 OpenAI: $50-200 $350-2,200/mo90-day MVP with phased delivery
Phase 1: 30 days Phase 2: 30 days Phase 3: 30 days 3-4 months totalRecommended team composition
Backend: 2 Frontend: 1 DevOps: 0.5 3-4 engineersPhased delivery from foundation to enterprise features
Core infrastructure and data ingestion
AI reasoning and semantic layer
Multi-tenant and production ready
Advanced features and optimization
Key performance indicators for platform success
Enterprise-grade security posture
SOC 2 Ready GDPR Compliant Encryption at Rest TLS 1.3System capacity requirements
100+ tenants 1M+ daily metrics 10K queries/daySystem resilience requirements
Auto-failover Multi-AZ Daily backups DR plan