Causality Engine
Most attribution tools tell you which ads a customer clicked before buying. That is correlation. Causality Engine tells you what would have happened to your revenue if you had never run those ads. That is causation.
We use causal inference, the same statistical methodology behind clinical drug trials, to calculate the incremental revenue each marketing channel actually generates. Not touched. Not assisted. Actually caused.
The math is simple: if Meta reports 4.2x ROAS but your total revenue stays flat when you cut spend by 30%, those conversions were going to happen anyway. Causality Engine quantifies exactly how much.
Connect your GA4 and Shopify data. Get your first causal analysis in under 5 minutes. No tracking pixels, no cookies, no complex integrations. Just upload your data and see which channels create real growth and which ones take credit for growth that was already happening.
One-time analysis: $99. Continuous intelligence: $299/month.
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Data Poem
Data Poem is the Enterprise Decision AI company. Most large organisations run on dozens of disconnected models and dashboards that describe what happened but cannot say what to do next. POEM365, its Large Causal Foundation Model, unifies them into one causal system, mapping how every driver of spend, demand and price moves revenue. Pre-trained on 250 billion transactions and five trillion dollars of spend data, it deploys in around six weeks. Fortune 500 brands in CPG, retail, automotive and e-commerce use it to forecast revenue, plan budgets, optimise campaigns and grow.
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Rationale
Welcome to Rationale, a revolutionary AI to assist business owners, managers, and individuals in making tough decisions. Simply enter a pending decision or indecisive options, our latest GPT and in-context learning algorithms will list pros and cons, generate a SWOT analysis, conduct multi-criteria analysis or causal analysis to help you weigh your options. By considering all relevant factors and your background, Rationale helps you make a rational decision. The new outcomes analysis mode will show you the outcomes of your decisions in a causal chain. You will be able to see up to 3 levels of outcomes, in a tree-like structure. Not only immediate outcomes, depending on what happens along the way, the outcomes of the outcomes will also be shown. You can provide more background, context and information about yourself and your business. You can add multiple profiles and switch between them.
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InboxStack
InboxStack is an email deliverability intelligence platform built around Brain, a proprietary causal AI engine that identifies why emails miss the inbox — not just that they did. Most deliverability tools stop at monitoring: they show a drop in inbox placement or a blocklist hit and leave you to investigate. InboxStack goes further, correlating signals from your ESP, DNS authentication records (SPF, DKIM, DMARC), Google Postmaster Tools, Microsoft SNDS, and 50+ blocklists through a causal knowledge graph built on a 22-year deliverability knowledge base — tracing the actual root cause, whether it's a DKIM misalignment, IP reputation dip, or content trigger.
Onboarding starts with forwarding your email headers for an instant DNS/auth audit, no migration required. Teams that want ongoing monitoring can connect their ESP and Postmaster accounts, with optional seed testing for real inbox-vs-spam placement data.
Built especially for digital agencies and ESP's.
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