AI-powered multi-touch attribution Built on automation infrastructure that generates, stores, and publishes at massive scale.
Real outcomes from programmatic attribution modeling deployments
We build automated pipelines that handle every step from data ingestion to content publication.
Your data feeds into our AI orchestration layer. We process product catalogs, CRM data, market research, and any structured data through multiple AI models optimized for different tasks. GPT-4 for creative content, Claude for analysis, specialized models for specific verticals.
Content flows through n8n and Make.com workflows into your storage systems and publishing platforms. Schedule thousands of posts, drip campaigns, or real-time updates. Every piece is tracked, measured, and optimized automatically.
Programmatic attribution modeling represents a fundamental shift in how enterprises approach content and automation. Instead of hiring armies of specialists or outsourcing to agencies that work project-by-project, leading companies are building automated systems that scale infinitely.
Manual processes hit a ceiling. You can only hire so many people, and quality varies. Our clients came to us after realizing that even with 50+ person teams, they couldn't produce content at the volume needed to compete. Programmatic systems solve this by automating the entire pipeline from ideation to publication.
We leverage enterprise-grade tools: OpenAI and Anthropic APIs for generation, n8n for complex workflow orchestration, Make.com for integration scenarios, custom Python services for specialized processing, and direct API connections to your CMS and marketing platforms. Everything runs on scalable cloud infrastructure with 99.9% uptime guarantees.
Implementation typically takes 2-4 weeks. We start with a scale analysis to identify your highest-impact automation opportunities. Then we design and deploy custom pipelines that integrate with your existing systems. You get a dashboard to monitor everything, while our systems handle the heavy lifting.
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