The Blaise XTECH Competition is a global challenge aimed at developing AI-powered mobile applications that integrate with Blaise, an AI-driven Raman spectrometer for disease detection, aviation fuel analysis, and environmental monitoring. The competition seeks to foster innovation in machine learning, spectroscopy, and mobile computing.

The competition is open to:

The competition is structured into four key phases:

Participants will develop AI-driven mobile applications for:

To register, visit [Competition Website], complete the team registration form, and submit your initial proposal outlining your application concept and intended use of Blaise technology.

Yes, the registration fee is:

Discounts or fee waivers may be available for academic institutions, non-profits, and early-stage startups.

You can register as an individual; however, we strongly encourage forming a team with diverse technical and scientific expertise to enhance your chances of success.

Yes, teams may add or change members before the Semifinals round. However, any modifications must be approved by the competition organizers.

Yes! The Blaise XTECH Competition is open to teams worldwide. However, teams must comply with export control laws and local regulations regarding AI, spectroscopy, and healthcare applications.

Teams will be scored based on the following criteria:

The quality of the datasets submitted and the degree to which the application introduces new or groundbreaking functionality in AI-powered spectroscopy. Originality and uniqueness of the solution compared to existing technologies. Effective use of machine learning, spectroscopy analysis, and AI-driven decision-making to enhance Blaise’s capabilities.

Accuracy and precision of spectroscopic data interpretation within the application. Stability, reliability, and efficiency of the application’s data processing and AI algorithms. Scalability of the solution, ensuring it can handle large-scale deployment without performance degradation.

Intuitive user interface (UI) and user experience (UX) design, making the application accessible to diverse users. Seamless integration of Blaise’s SDK and API to provide a smooth and functional user journey. Error-handling mechanisms to ensure robust performance in real-world conditions.

Practical applicability of the solution in healthcare, public safety, and environmental monitoring. Potential for real-world adoption and long-term usability in industry-specific settings. Measurable impact on efficiency, cost reduction, and accuracy improvements in spectroscopic analysis.

Adherence to industry regulations and data privacy laws in healthcare and aviation. Compliance with ethical AI practices, ensuring fairness and transparency in decision-making. Strict adherence to the competition’s prohibition against reverse engineering of Blaise hardware.

Market size, business feasibility and commercial scalability of the application. Potential for investment or industry partnerships, ensuring long-term sustainability. Strategies for monetization, deployment, and user adoption beyond the competition.

Clarity and effectiveness of the final live presentation. Quality of the live demonstration, showing real-world functionality and impact. Ability to convincingly communicate the application’s value proposition and competitive advantage.

Each submission will be scored based on these weighted criteria, with judges providing detailed feedback at every stage. The highest-scoring teams will advance through the competition rounds, culminating in a live demonstration and final selection of winners at an international consumer show such as CES 2027. The Blaise XTECH Competition aims to recognize not only technological excellence but also real-world applicability, market readiness, and positive global impact in AI-powered Raman spectroscopy solutions.

Awarded for developing the most innovative, scalable, and high-impact application integrating Blaise’s AI-driven spectroscopy technology. This team’s application has demonstrated unmatched accuracy, usability, and real-world applicability, setting a new standard in mobile spectroscopy-based diagnostics and analytics.

The Best Data Award in the Blaise™ XTech Competition recognizes the team that demonstrates the highest standard of data quality, accuracy, and usability in Raman spectra generation and analysis. To achieve this distinction, participants must implement rigorous methodologies for sample preparation, instrument calibration, and data preprocessing, ensuring consistency and reliability in spectral measurements.

Recognized for their technically superior and innovative application that effectively integrates Blaise’s AI and spectroscopy capabilities. Their solution offers high reliability and a user-friendly interface, making significant contributions to spectroscopy-based diagnostics and industrial quality control.

This award goes to the team that demonstrated the most advanced AI integration in their application, enhancing spectroscopy data processing, accuracy, and automation. Their solution showcases how machine learning and AI-driven analytics can significantly improve real-time Raman spectroscopy interpretation.

Recognized for designing the most intuitive, accessible, and visually appealing user experience. This team’s application ensures that users, regardless of technical expertise, can seamlessly interact with complex spectroscopy data through a well-crafted and engaging interface.

Awarded to the team whose solution has the greatest potential to drive positive change in public health, environmental safety, or industrial efficiency. Their application has been identified as a game-changer in providing accessible and scalable spectroscopy solutions for underserved industries and communities.

Yes! Teams retain full ownership of their original code, AI models, and application designs.

Yes. Teams must adhere to licensing agreements, including:

Teams have access to:

The Blaise XTECH Prize Competition is your opportunity to innovate, compete, and make an impact in the future of AI-powered Raman spectroscopy. Join us and be part of this global innovation challenge!