E-PICOS offers flexible and transparent pricing designed for researchers, academic institutions, and data-driven organizations. Unlike traditional statistical software that often requires complex licensing or advanced programming knowledge, E-PICOS provides an intuitive AI-assisted platform that simplifies statistical analysis and research workflows.
Our pricing is designed to scale with different research needs, from individual researchers to collaborative teams. Users can access powerful statistical modules, automated research workflows, and secure data processing within a single platform.
By combining advanced statistical capabilities with AI-powered assistance, E-PICOS reduces the time required for data analysis while maintaining reproducibility, accuracy, and research transparency.
A modern alternative to traditional statistical software such as SPSS, Stata, and R.
E-PICOS offers a full-access trial that allows users to explore the platform’s AI-assisted statistical analysis capabilities and research automation tools.
Trial users can evaluate key features including statistical modules, automated workflows, and data analysis tools.
For evaluation purposes, you can activate a 24-hour full-access trial using the following promo code:
Promo Code: ALLMODULES1DAY
This trial allows researchers to test the complete platform before committing to a subscription.
Pricing information for EPICOSAI is supplied by the software provider or retrieved from publicly
accessible pricing materials. Final cost negotiations to purchase EPICOSAI must be conducted with the
seller.
Additional pricing details may vary depending on the selected modules, number of users, and institutional requirements.
Academic institutions, research teams, and enterprise users may request customized plans tailored to their research workflows and collaboration needs.
For evaluation purposes, E-PICOS provides a full-access trial that allows users to explore all modules and core statistical features before choosing a subscription plan.
Pricing information was last updated on March 06, 2026
