1000minds vs Progress Corticon

1000minds provides software for decision-making, conjoint analysis, discrete choice experiments, and preferences research. Its patented PAPRIKA method asks participants to compare pairs of partial profiles, then adapts later questions to their earlier answers. Users can create and tailor a decision model, run it individually, with a group, or as a survey, and examine results with graphical and analytical tools. An AI assistant can help build models and generate ideas while the user remains in control. The conjoint and DCE platform supports surveys of up to 5,000 people, and the research platform plan includes unlimited surveys. The software can be combined with research survey panels and other survey tools; bespoke integration and development services can help connect outputs to applications or wider systems. The maker identifies 1000minds as SOC 2 and GDPR compliant and offers an EU application instance for EU data storage and processing. It offers a free personalized onboarding call and expert support, with on-call consultations for some packages. Founded in 2003 and headquartered in Dunedin, New Zealand, the company describes use across government, business, nonprofit, health, academia, and consulting.

Progress Corticon is a decision automation platform for managing complex business rules and delivering consistent, explainable outcomes as requirements change. In Corticon Studio, business staff can build rules using spreadsheet-style and visual modeling tools without coding. Teams can test and simulate decisions against real scenarios before deployment, then make decision services available through standard APIs. Corticon connects to relational databases and web services with built-in data access or custom connectors. It can run on premises, in cloud or hybrid environments; Corticon Server runs rules as a web service or in process for Java and .NET applications. Corticon for JavaScript also runs in serverless functions on AWS and Azure and in client-side web and mobile apps. Versioning, traceability, and decision rationale support governance and review. Explicit rules can validate and constrain AI recommendations, while AI assistance can generate rules and test cases or explain existing rule assets. Pricing is on request, with no free plan. A trial can be requested; the pricing note lists a 90-day trial.