Treat Machine
Treat Machine is an AI decisioning platform that uses causal machine learning to select the optimal message—including promo, copy, image, subject, channel, incentive, and timing—for each individual customer to maximize conversion and revenue. It integrates with existing marketing stacks like Klaviyo and Shopify, preserving campaign logic while replacing fixed messages with dynamic, per-customer decisions. The platform is SOC 2 compliant, operates on pseudonymized data without accepting PII, and provides fully auditable explanations for every decision.
- Marketing Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Marketers often rely on dashboards full of data and platforms that can send millions of messages a day, yet still guess about what to send to each customer. Traditional A/B testing and generative AI personalization confuse correlation with causation when training business outcomes, and most teams cannot invest six months and six-figure budgets before seeing results.
Solution
Treat Machine is an AI decisioning platform that connects to a company's e-commerce and marketing stack, such as Shopify and Klaviyo, to dynamically choose which existing message—including promo, copy, image, subject, channel, incentive, and timing—each customer receives to maximize conversion and revenue. It uses causal machine learning, going beyond predictive or generative models to identify what actually causes a customer to act, optimizing for real uplift rather than correlation. The platform analyzes first-party data such as purchase behavior and past email engagement to train individual-level models. Marketers keep full creative control over messaging while Treat Machine handles targeting holistically and explains why each decision was made, with every action fully auditable and interpretable.
Target Audience
Primary customers are e-commerce retailers and B2B SaaS companies running lifecycle marketing on platforms like Klaviyo or Salesforce Marketing Cloud who seek measurable revenue improvements from their email campaigns.
Features
- Causal machine learning engine that selects messages based on inferred cause-and-effect relationships, not correlations
- Multi-dimensional optimization across promo, copy, image, subject, channel, incentive, timing, recommendation, and CTA
- Integration-first approach with connectors to Shopify, Klaviyo, Salesforce Marketing Cloud, and other major martech stacks via API
- Utilizes pseudonymized behavioral and profile data only—no PII accepted—ensuring GDPR-aligned privacy
- Preserves existing campaign logic and replaces fixed messages with dynamic per-customer decisions
- SOC 2 compliant platform with fully auditable decision explanations
- Fast time-to-value with setup achievable in hours, not months, for Klaviyo/Shopify users