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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.
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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.
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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.
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rxOrchestrator
Glass-box Coordination
Coordinates multi‑agent reasoning with regulator‑ready logs of requests, branches, tool calls, and outputs.
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Deterministic & reproducible: same input produces the same validated output.
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Lifecycle governance (create, execute, delete) prevents shadow IT and silent failures.
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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 |
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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 |
rxOrchestrator (Beta)
Glass-Box Reasoning.
Deterministic Outputs.
Audit-Ready by Design.
rxOrchestrator streamlines and enhances AI workflows across complex organizational ecosystems.
Glass-box AI
Deterministic outputs
Lifecycle governance
Ingest & Structure
Persist & Share
Bring your own agent
Deterministic, Audit‑Ready Orchestration for Enterprise AI
The rxOrchestrator coordinates multi‑agent reasoning, logs every step (requests, branches, tool calls, outputs), enforces lifecycle governance, and delivers deterministic, reproducible workflows with regulator‑ready audit trails.
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.