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LST makes AI Usable, Trustworthy, and Deployable inside the Enterprise.  

The enterprise platform for explainable, auditable AI decisions – built for compliance, powered by reasoning.  

Whether or not you’re using LLMs today, LST delivers structured reasoning agents that can read policies, validate decisions, trace logic, and deliver outcomes you can trust – automatically, at scale, and without retraining a model.  

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Think of it as:

Logic + Compliance + AI =

Live Today

For companies with no AI Strategy yet

You don’t need to build an AI stack to benefit from LST.

LST gives you an out-of-the-box platform that automates complex decisions – across compliance, operations, contracts, audits and more.  

No LLM Expertise? No Problem

With LST, you get: 

  • Pre-built reasoning agents that work over your documents and policies  

  • Automated workflows that validate actions against regulations  

  • Privacy safeguards and audit trails built in  

  • Rapid deployment via API, SDK, or cloud marketplace  

Think of it as: logic + compliance + AI = live today.  

You skip the model training, orchestration headaches, and AI governance chaos.  

Find Value

See the value Agentic Reasoning can bring to your organization through our Proof of Value program.

From Vision to Pilot to Product

LST enables enterprises to adopt AI with confidence by embedding compliance-driven reasoning, transparency, and auditability into every stage of your AI adoption journey.  

 

Within weeks (not months), LST can deliver a Proof of Value (PoV), Proof of Concept (PoC) or Minimum Viable Product (MVP) to deploy agentic reasoning on your data.  

With all options, you’ll have a deployed reasoning pipeline, benchmarked performance on operational outcomes, not just model benchmarks, persistent portable and interoperable rxMap for domain knowledge, validated use case report and roadmap for enterprise-scale rollout, and a comprehensive governance checklist and reasoning audit trail. LST offers rapid enterprise deployment to stand up persistent, explainable decisioning as stand-alone solutions or inside existing stacks. 

For companies with existing LLM/AI stacks

LST turns your black-box LLM into a glass-box system. 

Already using ChatGPT, Claude or internal LLMs? LST plugs in and transforms your models into explainable, policy-aligned decision engines with: 

  • Modular agents (ReX, RelsD, ReDid, AiTD) that run structured reasoning on top of your models  

  • rxMaps that persist and reuse decisions across workflows and teams  

  • Orchestrator to route decisions, escalations, and log audit trails  

  • No retraining or infrastructure change required  

 

No rip and replace. You keep you stack – LST makes it governable, auditable, and compliant.  

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Skip the Demo with a
PoV, PoC or MVP

Engagement Pathways

Unlike generic AI toolkits, LST delivers an enterprise-ready ecosystem of agents that combines structured reasoning agents, persistent reasoning maps, privacy & trust modules, and reasoning benchmarks. With rapid integration via APIs, SDKs, MCP, and AWS Marketplace, LST transforms AI adoption into a journey of compliance, transparency, and measurable value. 
 
Below are our engagement pathways and the value they bring to enterprises. 

Proof of Value (PoV)

Purpose

Show measurable value in compliance or operational efficiency. Demonstrate persistent reasoning states and audit-ready trails. (LST as an enabler of trusted auditable reasoning, not just automation.) 

Best Fit For

CTOs, Product dev teams, AI transformation teams, compliance managers, finance leaders requiring tangible ROI; savings in audits, overhead, or fines avoided. 

Example Outcomes

Clear ROI with quantified savings (e.g., 40% audit cycle reduction, multimillion-dollar fines avoided). LST orchestrator, and rxMaps-powered audit trails show regulator-ready and compliance adherence transparency.  

Find Value

See the value Agentic Reasoning can bring to your organization through our Proof of Value program.

Proof of Concept (PoC)

Purpose

Validate technical and architectural fit: deploy structured reasoning agents, orchestrator, and benchmarking protocols via APIs, SDKs, MCP, AWS Marketplace. 

Best Fit For

AI teams/departments, IT architecture, and transformation teams seeking fast validation of structured reasoning pipelines. 

Example Outcomes

Successful integration of ReX into stacks and pipelines, showing contradiction detection, privacy-preserving PII removal (ReDiD), and synthetic text filtering (AiTD). Outcome is a working pilot proving auditable reasoning with minimal lift. 

Minimum Viable Product (MVP)

Purpose

Deploy a functional reasoning pipeline or agent swarm in one department. Showcase, for example, persistent reasoning maps, auditable reasoning, compliance trails, and embedded privacy modules.

Best Fit For

Risk teams, compliance teams, contract analysis team, AI innovation labs, and pilot adopters seeking hands-on access to a live structured reasoning console with multi-agent orchestration and compliance validation. 

Example Outcomes

Deployment of a live Compliance-as-Reasoning, or Reasoning-as-Validation Service, with persistent reasoning maps, multi-agent orchestration, and integrated privacy/security. Demonstrates real-time contradiction detection and compliance monitoring.  

Consulting & Strategic Advisory

Purpose

Map compliance-driven reasoning to enterprise workflows.  

Provide AI adoption roadmaps embedding privacy, compliance, auditability, and transparency pillars. 

Best Fit For

C-suite leaders, compliance, legal, and risk executives who need board-level clarity on AI risks/opportunities; confidence that AI reasoning will remain auditable, explainable, and regulator-ready; and a roadmap leveraging ReX + rxMaps to future-proof enterprise compliance strategies. 

Example Outcomes

Delivery of an AI Compliance & Reasoning Roadmap aligned with enterprise strategy.  

Includes maturity assessment, risk-gap analysis, and blueprint for embedding ReX-powered reasoning layers and rxMaps audit trails into workflows (which is not offered by black-box vendors). 

Direct Deployment at Scale
(Structured Reasoning-as-a-Service)

Purpose

Provide reasoning validation: contradiction detection, causal analysis, benchmarking inter-agent performance, compliance integrity checks at scale. 

Best Fit For

Enterprises scaling AI across multiple units, regulators, and auditors requiring independent recurring validation and trusted benchmarking of contradictions, and causal reasoning. 

Example Outcomes

Recurring Reasoning Validation Reports powered by LST AI technologies, benchmarking logical, contradictions, causal chaining, and orchestration performance.  We offer a deployable ecosystem, not just a toolkit. 

Inherent Value

We build value deep within back-office operations, transforming adoption across organizations.

High-Value Target Market

LST is unlocking the massive potential of auditable and compliant AI for regulated industries.

Accelerated ROI

 

LST delivers rapid return on investment, ensuring fast adoption and high customer retention.

Persistent Context & Memory

Our AI isn't just a simple tool—it's a context-capable system with persistent memory, creating an indispensable solution for grounding truth and trust.

Scalable GTM Strategy

We bypass lengthy sales cycles with rapid, API, SDK, AWS-CMP, and MCP-driven deployments, making LST a leader in the "buy-over-build" market.

Future-Proof Technology

We are building the next generation of AI with agentic reasoning architectures that are more scalable and powerful than today's monolithic tools.

Deep Solutions-Market Fit

LST goes beyond AI wrapper, or generic LLMs, embedding customizable AI reasoning agents directly into mission-critical workflows.

LST - Cognitive AI

Latent-Sense Technologies

112 -970 Burrard Street, 

Unit 1330, Vancouver,

BC V6Z 2R4, Canada.

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