Causal Inference Platform · Causality Lab · Benchmark Validated

Don't predict the future. Cause it.

WhyLab is a causal inference platform for teams that need to separate correlation from causation.
Find the real cause with AutoML, Double ML, refutation, and multi-agent debate.

Start Demo GitHub ↗

Causal inference platform

Answer "Why?" — not just "What will happen?"

Three AI agents debate with evidence to deliver
the optimal verdict inside a practical causality lab: Rollout · A/B Test · Reject.

"Why did churn increase?" "Will raising limits reduce defaults?" "Which channel caused the lift?"
whylab.neogenesis.app/dashboard
WhyLab Dashboard — Credit Limit Scenario WhyLab Dashboard — Medical Treatment Analysis WhyLab Dashboard — Career Analytics

Scenario A: Credit Limit → Default Rate  |  ATE: -12.3% (p=0.0003)

How it works

16-cell pipeline
in 6 steps

From data upload to causal verdict,
a fully automated end-to-end causal inference platform workflow.

📊
Data
CSV / SQL / BigQuery
🕸️
Discovery
PC Algorithm
🎯
Causal
Double ML
🧠
MetaLearner
5 Learner Ensemble
🛡️
Refutation
Placebo / Random
⚖️
Verdict
AI Debate → Decision

Multi-Agent Debate

Three AI agents debate with evidence to reach a final decision

Growth Hacker

Explores growth opportunities from causal analysis results. Captures opportunities with 10 evidence types.

10 evidence types
← →
⚖️
Product Owner
Rollout 100%
Risk Manager

Warns about vulnerabilities and potential losses in causal models. Validates 8 attack vectors.

8 attack vectors

Built to be trusted.

0
ATE Accuracy
ACIC Benchmark
0
Analysis Cells
End-to-end Pipeline
0
Test Cases
Automated QA
0
AI Agents
Multi-Agent Debate

Use cases

Causal analytics entry points

Practical pages for teams searching for causal inference, experiment analytics, incrementality, pricing, retention, and product analytics workflows.

Causal inference checklist Experiment readiness checklist A/B test causal impact Product analytics causal metrics Marketing incrementality checklist Pricing experiment analytics Feature launch impact analysis Retention and churn causal analysis Data quality for causal inference Causal decision intelligence playbook

Ready?

Find causation.

Go beyond correlation. Discover the real cause.

Launch Demo Read Paper ↗