Turn Insight Into Action

QWISE™  (Quantum World Information Simulation Environment ) is a next-generation decision support platform that simulates complex, high-stakes environments using a fusion of quantum algorithms, classical computing, and explainable AI. Designed for defense, logistics, and mission-critical planning, QWISE™  helps users understand uncertainty, model adversarial behavior, and make informed decisions using non-linear data modeling, quantum decision theory, and cultural-emotional simulations.

Developed by Day Research  (https://qi-xai.ai -   QWISE™  Quantum World Information Simulation Environment - Revolutionary Breakthrough in Modeling and Simulation Technology, Combining the Power of Quantum Computing Simulation With Fully Explainable Artificial Intelligence, Quantum and Classic Computing Modeling and Simulation Artificial Intelligence ) QWISE™  bridges today’s computing capabilities with the future of quantum-enhanced simulation, offering scalable, intelligence-driven tools for national security, supply chain optimization, and strategic forecasting. Whether navigating the fog of war or managing complex operations, QWISE™  delivers insight when it matters most.

ESISST® (Electronically Stored Information Smart Search Technology) is a powerful, AI-driven platform that simplifies how organizations analyze, manage, and retrieve massive volumes of digital communication data—including emails, attachments, and metadata. Designed for legal teams, compliance officers, investigative units, government agencies, and commercial enterprises, ESISST® enables fast e-discovery, efficient auditing, and intelligent content management—without the need for IT support. Its intuitive interface leverages natural language processing and semantic search to quickly uncover communication patterns, trace data flows, flag sensitive language, and reconstruct digital timelines.

Developed by Day Research  (Electronically Stored Information | ESI-SST) and available through the AWS Marketplace, ESISST® is backed by enterprise-grade security and infrastructure. Powered by AWS and aligned with industry standards, it offers scalable, secure, and compliant data solutions for organizations seeking smarter, faster ways to manage electronically stored information (ESI).

 RWISE (Reference World Information Synthetic Environment)  is an advanced agent-based modeling and simulation platform designed to mirror real-world complexity at scale. Unlike traditional tools that rely on static datasets and linear projections, RWISE incorporates sentiment analysis, predictive modeling, and non-linear system behavior to simulate how individuals, organizations, and environments dynamically interact.

Built for use in policy simulation, urban planning, military strategy, and humanitarian coordination, RWISE enables decision-makers to test “what-if” scenarios using multi-source data fusion, behavioral drivers, and geospatial visualization. The platform models well-being, influence, and motivation to predict how populations and systems evolve under different pressures—providing an immersive environment for collaborative planning and data-driven decision-making.

Developed by Day Research (httsp://rwise.ai  the Data Analytics Application division of Charles F. Day & Associates), RWISE empowers organizations to anticipate outcomes, identify leverage points, and formulate evidence-based policy with confidence.