Insight137 develops behavioral prediction tools grounded in peer-reviewed quantum cognition research. Our flagship platform predicts decision-making patterns with 73–78% validated accuracy across 75,600+ empirical samples spanning human survey decisions, AI agent behavior, and biometric signals.
The Entropy-Aware Predictor library implements the mathematical foundations behind our platform:
- Deng entropy (Deng, 2016)
- Quantum-Like Bayesian Network interference (Huang et al., 2019)
- Quantum total probability (Moreira & Wichert, 2016)
- 211 tests passing — adversarial, property-based, performance, verification
- 192,000 calls/sec for
quantum_probability
pip install insight137-eapinsight137.com provides AI-powered behavioral analysis with quantum cognition models. Free during open beta.
| Work | Authors | Application |
|---|---|---|
| Quantum Cognition | Busemeyer & Bruza (2012) | Core prediction model |
| QLBN Interference | Huang et al. (2019) | Ψ₂/Ψ₃ entropy signatures |
| Deng Entropy | Deng (2016) | Information-state quantification |
| Quantum Total Probability | Moreira & Wichert (2016) | Multi-source decision analysis |
- General inquiries: support@insight137.com
- Security disclosures: support@insight137.com (subject: Security)
- Research collaboration: support@insight137.com (subject: Research)
Insight137 is a research-driven behavioral intelligence platform. We publish under CC BY-NC-ND for academic transparency.