Resources

AI can provide answers and cite sources, but can it prove that the evidence actually supports its conclusions? Discover how Latent-Sense Technologies is transforming enterprise AI through evidence-first reasoning and persistent semantic knowledge. Using rxMaps, organizations turn fragmented information into reusable semantic knowledge that connects documents, policies, facts, and relationships. ReX builds on this foundation to identify contradictions, evaluate evidence, and deliver transparent, explainable, and auditable conclusions. Together, ReX and rxMaps help organizations make better-informed decisions, reduce duplicated effort, and build AI solutions where every answer is traceable to its supporting evidence. Evidence first. Reasoning second. Trusted decisions.

This demo shows how ReX delivers an evidence-first AI experience. Users can ask questions about a project, see the evidence used to support each answer, inspect the reasoning trace and relationships between sources, and jump directly to the original source material to verify conclusions. It demonstrates how rxMaps and ReX turn connected company information into transparent, traceable, and auditable reasoning.

Shows how Latent-Sense’s rxMaps and ReX turn scattered documents into traceable, decision-ready evidence for complex claims and disputes. Aimed at CFOs and operations leaders in insurance, healthcare, and construction looking to cut delay, leakage, rework, and review costs.

Shows enterprise teams how Latent-Sense Technologies’ rxMaps and ReX create auditable, evidence-backed AI reasoning from unstructured data. Aimed at leaders in regulated workflows who need traceable answers for insurance, healthcare, construction, and compliance use cases.

Explains why enterprise AI audits fail when systems only log outputs, and how rxMaps plus ReX create evidence-first, provenance-preserved reasoning that compliance teams can replay and verify. For enterprise AI, risk, and compliance leaders building defensible decision systems without ripping and replacing existing models.

Explains why enterprises waste AI spend repeatedly re-retrieving and reinterpreting the same knowledge, and how a persistent semantic layer like rxMaps can cut cost, errors, and review effort. Aimed at executives evaluating reusable AI infrastructure, it shows how provenance and reasoning-ready knowledge improve auditability and productivity.

AI can provide answers and cite sources, but can it prove that the evidence actually supports its conclusions? Discover how Latent-Sense Technologies is transforming enterprise AI through evidence-first reasoning and persistent semantic knowledge. Using rxMaps, organizations turn fragmented information into reusable semantic knowledge that connects documents, policies, facts, and relationships. ReX builds on this foundation to identify contradictions, evaluate evidence, and deliver transparent, explainable, and auditable conclusions. Together, ReX and rxMaps help organizations make better-informed decisions, reduce duplicated effort, and build AI solutions where every answer is traceable to its supporting evidence. Evidence first. Reasoning second. Trusted decisions.