Our consultancy services are tailored to meet the specific needs of each client, providing customized solutions that deliver real results. From reducing manufacturing costs to enhancing supply chain management, our team of experts has the expertise and experience to help businesses achieve their goals and thrive in today's competitive marketplace.
Our innovative BOM optimization plugin is a game-changer for circuit designers, providing access to the most cost-effective components without sacrificing quality or performance. Try it out today and experience the power of advanced algorithms and predictive analytics in action. Explore our plans and pricing in the link below.
Hybrique presents CAD Design Workshop with demonstration of Hybrique Plugin. There are Hybrique’s customized training offerings is by one of our Subject Matter Experts (SME). We offer customized training on Artificial Intelligence - Machine learning (AI - ML) application in achieving secure chain cost effective goal and Decoding Master Data.
Welcome to Hybrique, the premier provider of advanced technologies and innovative solutions for businesses looking to streamline their operations and drive growth. Our team of experts combines the principles of Lean Six Sigma, statistical modeling, AI, and Machine Learning to deliver cost-effective, high-quality solutions that meet the unique needs of our clients.
From our flagship BOM optimization plugin for circuit designers to our range of consultancy services, we are committed to helping businesses achieve their goals and stay ahead of the competition. Explore our website to learn more about what we do and how we can help your business succeed.
"Aichi Startup Festival 2021" Winner
Exaamining the magnitude of social significance and business plans in the global market
Providing a platform that improves design work using CAD by 25%
Axelr8 is our former company name, now its Hybrique
Hybrique: The Patent
System for producing a curated bill of materials (BOM). The curated BOM is produced by applying a part search machine learning model to a list of specifications to determine part identifiers for one or more known parts, producing a parts recommendation comprising the part identifiers and fulfilling the specifications. A supplier matching machine learning model is applied to the parts recommendation to identify one or more suppliers. A price estimate is generated based on the supplier and parts recommendation and included in the curated BOM.