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AI Reasoning Infrastructure & Ecosystem
Latent-Sense Technologies provides AI reasoning infrastructure and a reasoning ecosystem, integrating orchestration, reasoning benchmarking, and semantic knowledge infrastructure into enterprise workflows.
Our reasoning infrastructure converts unstructured enterprise knowledge (e.g. documents, policies, reports, contracts, research etc.) into reasoning-ready knowledge substrate that AI systems can query, trace, and audit enabling machines to operate over structured meaning rather than raw text retrieval or statistical embeddings.
rxMaps
Upstream Semantic Infrastructure
A semantic knowledge infrastructure is the foundation that prepares, structures, and connects meaning across all unstructured and structured enterprise data; enabling AI systems to reason with consistent, and traceable understanding.
rxMaps semantic infrastructure provide:
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a normalized semantic space,
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with explicit semantic relationships,
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constraint-aware knowledge, and provenance‑preserved structure.
ReX
Evidence-first Reasoning
Detect contradictions, build causal chains, enforce policies, and transform any LLM into a structured reasoner with auditable traces.
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Cognitive Auditor & Claim Verification to validate or critique outputs across agents.
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Guards against hallucinations and surfaces assumptions for auditability and trust.
rxOntology
Evidence-grounded semantics.
Latent-Sense rxOntology is an evidence-grounded ontology engineering system that
converts semantic knowledge and supporting source evidence into formal, portable, machine-interpretable representations.
It defines domain concepts, relationships,
hierarchies, axioms, and constraints while maintaining a distinction between evidence
observations and approved ontological commitments.
rxMaps
Upstream Semantic Knowledge Infrastructure
Beyond standard storage and compute, rxMaps provides the essential semantic normalization layer for advanced AI. Unlike probabilistic RAG or vector search, rxMaps operates upstream to transform raw data into a deterministic, long-term semantic substrate. It establishes the cross-document framework and auditable logic required for true, defensible Cognitive AI.
Cloud Agnostic
Deployed on AWS
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ReX
Evidence-first reasoning
ReX provides structured reasoning that enhances AI application layers and multi-agent systems. ReX delivers risk mitigation, operational efficiency, cost savings, and strategic differentiation across enterprise and regulated environments.
Neuro-symbolic
Evidence-first
Auditable trace
Enhance LLM Reasoning
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LLMs Foundational Capabilities Elevated (Contradiction Resolution, Causal Tracing)
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Reasoning for auditability and trust in high-stakes domains
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Knowledge scaffolding
Enhance Agent Swarms
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Middleware Reasoning Layer providing logical consistency, structured reasoning, and introspective capabilities
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Cognitive Auditor Agent to validate or critique outputs of other agents.
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Feedback Loop in RAG Systems to flag contradictions between retrieved knowledge and LLM generations.
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Claim Verification & Justification Agent
Mitigate Risks
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Reduces hallucinations and factual inconsistencies.
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Ensures internal and cross-agent logical coherence.
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Enhances transparency for audit and compliance.
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Surfaces assumptions and implicit logic in outputs.
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Enables safer deployment in clinical, legal, and financial contexts.
ReX saves time and costs
up to 85%
Document review time
up to 80%
Expert validation cycles
up to 50%
Token usage
Use cases in high-stakes domains
Domain | ReX + LLM | Improvement |
|---|---|---|
Aviation | Incident analysis, procedural logic checking | Robust causal tracing |
Legal AI | Contract review, clause alignment, argument validation | Better contradiction and entailment |
Healthcare | Medical inference, treatment justification | Safer, traceable diagnostics |
Finance | Risk analysis, compliance logic | Transparent regulatory reasoning |
Deterministic, Audit‑Ready AI Reasoning for Enterprise
Enterprise Integration
API‑first, modality‑agnostic; plug‑and‑play with AWS, SDKs, MCP. No re‑engineering.
Auditability & Compliance
Logs requests, branches, tool calls, and outputs making regulator‑ready audit trails.
Native rxMaps Integration
Persistent, collaborative, auditable reasoning maps across agents.
Lifecycle & Governance
Explicit control (create, execute, delete) prevents shadow IT and risks.
Reasoning Structure
Structured pipelines with rxMaps as backbone for continuity, coherence, explainability.
Reproducibility & Reliability
Deterministic workflows: same inputs create the same validated output.