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Semantic AI
Globally patented technology that finally makes software and data speak the same language fluently, the language of your business.
"Insanity is doing the same thing over and over again and expecting different results."
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Since the dawn of digital networks, businesses have faced the same challenges: disconnected systems, data silos, and IT tools that struggle to communicate with users in a language they actually understand. The more complex the business domain, the bigger the problems become.
And they remain unresolved.
Traditional approaches won't fix them: software engineers try to interpret business experts to produce functional code, while data scientists try to interpret the same users to inject knowledge into the data for business insights. Add to this that one dataset often needs to be expressed differently for different business areas, and the result is an inevitable game of broken telefphone.
How technology operates today
How Lexica does it
Until now, the software industry has offered only two options:
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COTS (Commercial Off-the-Shelf): proven, configurable software available for inmediate implementation.
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Custom Development: tailor-made solutions for cases where COTS falls short of meeting unique business needs or requires major modifications.
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Lexica offers a new model that combines the best of both worlds. We train Brains with specific business knowledge and powers them with a semantic engine that executes this knowledge in real time, without the writing or compiling traditional code. That means we get configurable software available for inmediate implementation in a tailor-made solution. Plus, the added value of having it all speak the language of the business.
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The result: software where data is connected and naturally speaks the language of your business.
How the technology works
Step 1: Train the Brain
We capture business knowledge directly from domain experts using natural-language descriptions. The Brain learns from these descriptions and keeps improving as you add more over time. We’ve already trained Brains for Energy, Logistics, HR (for CPG), and Legal. For each use case, we can start with a smaller, purpose-built model that grows as new descriptions are added—like our HR for CPG Brain.
Example: Energy Maintenance
The illustration below shows a sample of our Maintenance model within the Energy Brain. It supports maintenance of transmission infrastructure, thermal generation equipment fleets, and industrial spare-parts inventory, and integrates in real time with operations systems to read generation data and fuel consumption at thermal plants.
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​Step 2: Intelligent Application Generation
Lexica provides tools to access the Brain’s knowledge, selecting only the connected concepts needed for your use case. That knowledge is processed in real time and delivered as intelligent applications with fully flexible visual UIs, no coding required. The result is a ready-to-use app with the look and feel you want and the intelligence of your business.
Step 3: Data Generation
Lexica’s intelligent applications use the Brain’s meta-metadata to deliver data natively connected to your business intelligence, providing trustworthy, high-quality traceability and lineage.
Step 4: Agentic Automatization
With built-in agentic capabilities, the intelligent applications don’t just display information, they take action to complete tasks, guided by your business logic, criteria, rules, and context.
Decisions and actions are captured as clean, structured digital records. Everything from work orders, forms, approvals, reports are pushed to your systems (ERP/EAM/CMMS) automatically. No manual re-entry. Every artifact includes built-in validation, compliance evidence, and full traceability and lineage.
For our Energy Maintenance Example this means our technology can:
Automatically generate a preventive-maintenance work order, schedule the crew, issue spare parts, update the CMMS/ERP, and log compliance evidence (timestamps, signatures, readings), all recorded with end-to-end traceability.
The illustration below shows how the meta-metadata is transformed into an intelligent application that informs and takes action. As described in steps 2-4.
What if I only want an AI agent?
While we recommend starting with intelligent software that understands your business and then enabling the same application to act with agentic capabilities, we understand that sometimes you need a dedicated AI agent now. Below, we show why an agent built with Lexica’s Semantic AI is a smarter choice than traditional approaches.
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How traditional AI agents are
In simple terms, an AI agent is an orchestrator. It coordinates tasks across your existing software, assigning each step to the right tool or service. It doesn’t truly reason or make independent decisions; it follows what it was configured to do by humans. If a task requires an extra step it wasn’t trained for, the agent won’t perform it, even if it’s the logical next action. And because the end-user interface typically relies on an LLM, responses can still hallucinate.
Energy Maintenance Example:
If an agent is trained to create a work order and issue/update required parts from inventory, but it isn’t configured to track vendor SLAs when stock is low and auto-replenish parts for the next maintenance window, it won’t do it. A human would need to add another software integration or spin up a new agent and connect them, without any guarantee they “speak” the same language.
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How Lexica builds agents (the Semantic way)
Lexica agents aren’t standalone bots. They’re built-in capabilities within your Lexica applications that plan, decide, and act using the Brain’s business knowledge (meta-metadata). Because they execute explicit business logic, policies, rules, standards, and dependencies, they’re reliable, auditable, and action-oriented. They verify outcomes with full traceability. And when the business changes, as it always does, there’s no retraining: simply add new business knowledge in plain English and every application becomes aware, keeping all actions current.
Energy Maintenance Example:
In a thermal power plant, our system knows how long equipment has been running and what the sensors are saying. It picks the best time to do maintenance (lowest cost, least disruption), prepares the required safety permit, creates and schedules the job, and pulls or reorders the parts if stock is low. It updates the maintenance and control systems and records proof for audits, with an end-to-end trail. All the business decision criteria live in Lexica’s Decision Intelligent Platform, so every system “speaks” the same language and follows the same decision logic, even as your operations change.
This is Agentic Semantic AI that plans, decides, and acts, grounded in your business knowledge, with
end-to-end traceability.
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