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From evidence to trusted AI decisions.

AI can cite sources. Latent-Sense goes further—connecting claims to evidence, evaluating what it means, and showing why a conclusion is supported.

Source -> Meaning -> Reasoning -> Conclusion

Persistent

Semantic Knowledge

Verifiable 

Reasoning

Evidence-backed

Conclusions

The Challenge

Citations tell you where information came from. Not whether it's correct.

When sources conflict, policies change, or assumptions go untested, simply citing documents is not enough to make a decision defensible.

Conventional AI

Sources inform. Reasoning matters.

Cited Evidence

Inference Not Guaranteed

A cited answer is not necessarily a proven conclusion.

Retrieval and citations may leave the reasoning between evidence and the final answer unclear.

The Latent-Sense Approach

Evidence -> Reason -> Conclude

Semantic Evidence

Verifiable Reasoning

Evidence connected to claims and the reasoning behind them.

rxMaps and ReX preserve source relationships, surface contradictions, and make conclusions inspectable.

How It Works

Evidence first. Reasoning you can verify.

Two complementary technologies turn scattered organizational evidence into structured knowledge and supported decisions.

01 / Connect
Bring the evidence together

Use documents, records, policies, systems and historical knowledge. Preserve where information came from.

 

02 / Structure
rxMaps connects meaning

Create a persistent semantic knowledge structure with explicit relationships, source references and reusable context.

03 / Reason
ReX evaulates and explains

Bind claims to evidence, identify conflicts, apply constraints, and preserve the reasoning path to conclusions.
 

Source Evidence -> rxMaps -> ReX -> Supported Conclusion

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SEE THE DIFFERENCE

Don't just read the answer. See why it's supported.

An answer becomes more useful when you can inspect the source passages, the relationships between them, and the criteria used to reach the conclusion.

Identify supporting evidence in original sources

See contradictions and governing requirements

Follow reasoning from evidence to conclusion

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Built for Defensible Reasoning

More than an answer. A basis for trust.

Capabilities that make evidence visible, contradictions actionable, and decisions easier to inspect and audit.

Evidence binding

Link individual claims and inferences to the source passages and relationships that support them

Conflict evaluation

Surface disagreements and assess time, authority, policy and context. Flag unresolved issues.

Reasoning lineage

Trace source evidence through semantic representation and inference to a conclusion.

Reusable knowledge

Preserve connected meaning for other teams, models, agents and workflows instead of recreating it.

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Persistent Semantic Knowledge

Build once. Reuse everywhere.

rxMaps turns dispersed knowledge into a reusable semantic foundation that works across models, agents, applications and workflows.

Unstructured Data

Reports, PDFs, Manuals, Policies, SOPs

Structured Data

Databases, Spreadsheets

Multimedia

Audio
More coming

People & Expertise

Policies, Discussions, Institutional Knowledge

Sensor Data

Telemetry data coming soon.

Semantic Knowledge Map
rxMaps

ReX
Advanced Reasoner

Persistent Semantic Memory

Model Agnostic

No Retraining

LLMs

GPT, Claude,
Llama, etc.

AI Agents

Autonomous
Agents

Workflow

Business Process Automation

Application

Internal Tools, Customer Apps

Less repeated work

Stop repeatedly reconstructing the same organizational context each time an AI system runs.

Knowledge that persists

Retain evidence relationships, requirements and meaning across projects and departments.

Scale without starting over

Begin with one business challenge and extend the same knowledge foundation when you're ready.

Build once. Reuse across the enterprise.

Where it delivers value

Better decisions wherever evidence matters.

The same evidence-first approach supports different challenges across regulated and knowledge-intensive organizations.

Operational & asset assurance

What changed, what does it affect, and is the issue actually resolved?​

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Construction - Engineering - Operations

Regulatory & risk assurance

Surface disagreements and assess time, authority, policy and context. Flag unresolved issues.

Government - Legal - Insurance

Evidence & knowledge assurance

What do we know, why do we believe it, and which evidence disagrees?

Healthcare - Research - Knowledge Work

A CLOSER LOOK

See the story in under three minutes.

The explainer walks through five common challenges: unsupported citations, fragmented knowledge, conflicting evidence, incomplete reasoning traces and repeated rebuilding of context.

It then shows how rxMaps and ReX work together to address them.

From evidence to trusted AI decisions (light)
START WITH A REAL PROBLEM

Start with one challenge. Build knowledge that lasts.

Explore evidence-first reasoning with a real project or use case. Start small, verify value, then grow a reusable knowledge foundation.

LST - Cognitive AI

Latent-Sense Technologies

112 -970 Burrard Street, 

Unit 1330, Vancouver,

BC V6Z 2R4, Canada.

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