Insight137 is a research platform designed to predict human decisions by analyzing decision scenarios, surveys, or product pages. The tool applies quantum cognition models, specifically referencing Busemeyer Quantum Models, to detect hidden biases and forecast behavioral outcomes.
The platform features AI-powered analysis that incorporates 13 bias detectors and draws on over 15 years of peer-reviewed research in quantum cognition. Users can access a range of resources through the Research Hub, including the Entropy Attunement Protocol (EAP) framework, research on self-preservation, and quantum cognition papers. The platform also offers examples of use cases spanning 11 different industries, such as e-commerce, finance, human resources, and healthcare, highlighting its applicability across various sectors where understanding and predicting human decision-making is valuable.
Insight137 is accessible as an interactive web-based analyzer. It is currently available in open beta, allowing users to test the service for free, with five analyses available without requiring sign-in. Additional usage and full quantum analysis capabilities are offered through paid Strategist and Enterprise plans. The platform positions itself as a tool for behavioral intelligence, targeting researchers, analysts, and professionals interested in decision science, AI safety, and behavioral prediction.
0 and is built on peer-reviewed models by Busemeyer and Bruza. Its approach centers on leveraging quantum cognition research to provide clarity and insight into human decision processes, aiming to advance understanding and prediction of behavioral outcomes in a variety of real-world contexts.
insight137-eap sits in PulseGate's LLM eval & observability category. It focuses on enabling advanced entropy-based behavioral prediction and safety analysis for AI systems. insight137-eap is an open-source project aimed at AI researchers and safety engineers. The project is open source (CC-BY-NC-ND-4.0). insight137-eap is available on the web and the command line, and it can be self-hosted.
It is developed by Insight137, and the product first shipped in 2026. The project is developed in the open on GitHub with 20 commits in the last 90 days. Across PulseGate's embedding index, insight137-eap has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are entropy profiling, behavioral prediction, and AI safety tools.
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