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Estimate cause-and-effect from observational data. Export reports your stakeholders trust.
CausalLens helps analysts, researchers, and operators estimate treatment effects from real data — who benefits from a drug, a campaign, or a policy — without six-figure enterprise contracts or a Python team. Try samples as a guest, or start a 14-day Pro trial with your own CSV, all methods, exports, and AI summaries.
Healthcare & pharma analysts — treatment effects from EHR and claims data. Marketing & growth teams — incremental lift and uplift targeting. Policy & economics — program evaluation with DiD and IV. R&D and science teams — rigorous causal claims from observational studies when RCTs are impractical.
Enterprise causal AI platforms can cost $100k–$500k per year. Open-source libraries (DoWhy, EconML, CausalML) are powerful but need engineers. CausalLens delivers the same methods through a guided wizard, balance diagnostics, refutation tests, and stakeholder-ready reports — at $49/month Pro after a risk-free trial.
Start analyzing in minutes
14-day Pro trial · upload CSV/Excel · compare methods · PDF report