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Why Lexica
Lexica’s Semantic AI Technology directly addresses the pressing questions being asked in the market today.
1. With more data being generated every day, why do we still need to clean and curate it before using it, especially when we're the ones producing it?
2. If we need data to accurately represent business knowledge, how can we generate data that is both accurate and precisely aligned with our specific needs?
3. If Generative AI is trained on vast amounts of data to replicate knowledge, why am I still not getting the precise output I need?
4. Software applications are tools for producing data, so why can't they naturally capture pure business knowledge and generate curated data from it?
The evolution of the software industry addresses these questions:
The current state of the software and solutions industry:
Information
Data
Scientists
Cleaning
Data
Software =
Data + Code
Business Expert Knowledge
Currently, business experts convey their needs to software engineers, who then translate those needs into technical language to create programs that embed this knowledge within the software.
These software applications generate data, and business users later attempt to extract insights by combining that data, assuming the software has effectively transferred expert knowledge to it.
However, this assumption doesn't hold true, which is why tools are needed to clean and organize the data to fully leverage the knowledge. Unfortunately, the knowledge that explains the data remains locked within the software, expressed in technical language.
How Generative AI is trying to fix it.
Information
Data Scientists & ML Engineers
Tagging
ML, LLMs
Software =
Data + Code
Business Expert Knowledge
Generative artificial intelligence relies on large volumes of data (produced by software applications with the characteristics described). Simply put, it uses this data to generate the next sequence—whether words, images, etc.—by selecting pieces to reproduce based on statistical methods that identify patterns in uncurated data.
While this approach might work for some applications where quality and precision are not critical, in a business context, they are essential.
Deploying a commercial chatbot to replace a business expert in user interactions demands guaranteed quality; approximation simply isn’t good enough.
Imagine if this were possible?
Knowledge as Actionable Insights
Business
User
Software =
Semantic Data + Business Knowledge as code
Business Expert Knowledge
Imagine if we could capture the knowledge of business experts without needing to translate it into technical language, and organize it so that a software application could directly produce high-quality data based on that knowledge. This would give us data in the desired state, with no loss of quality or need for further processing.
That is exactly what Lexica’s Semantic AI technology does.
It captures business knowledge and transforms it into actionable insights through intelligent applications generated directly from natural language. The data produced now carries the knowledge with it from the start, no longer locked away in code.
Imagine the value this brings to enterprises: saving time, accelerating innovation, and democratizing software creation. Businesses will no longer be slowed by lengthy development cycles or limited by a shortage of coding expertise. With Lexica’s Semantic AI, they can bring ideas to life quickly, revolutionizing industries and staying ahead of the competition.
At Lexica, we’re redefining software development, and we invite you to be part of this paradigm shift.
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