meaning is key to maximizing value from your data
Enhance Your Data Analytics and Modeling with Semacle
Semacle integrates the power of
Semantic Machine Learning
into your data modeling projects
About Semacle
Our History
Our team of semantic and machine learning experts saw the advantages of applying new technology to create meaning-centric predictive models and founded Semacle in 2024. The approach moves beyond decades-old techniques for creating models and (sometimes overhyped) AI solutions.
Our solutions maintain your data's natural connections throughout the modeling process. Traditional machine learning begins by separating the data from its meaning, turning terms into numbers and weights. Our techniques leave the data in a semantic graph, one that maintains the rich connections necessary to find the meaningful knowledge and insights embedded within.
Further, our technology avoids bolting on model explanations after the fact, techniques often labeled as "explainable AI." Instead, understanding the model's "why" is a natural outcome of a semantic machine learning process.
Our Products and Services
At Semacle, we offer products and services centered on your need to extract and leverage value inherent in your data. Our team's background includes significant experience in financial services, insurance, healthcare, and logistics. We understand the needs and constraints of organizations, from startups to those in the Fortune 500, and begin each engagement by designing a unique and right-sized solution based on your corporate goals and objectives.
Our Team
Our team of experienced professionals is dedicated to providing our customers with the highest level of service and support. We pride ourselves on our data science and technical expertise, empowering us to partner with clients to meet their unique machine learning and data modeling challenges.