FAQ

A: The Technical Readiness Level (TRL) is a systematic metric used to evaluate the maturity stage of a specific technology. Originating from a concept developed by NASA, the TRL framework is now widely adopted across industries and research institutions to gauge how close a technology is to being market-ready. The TRL scale ranges from 1 to 9, with TRL 1 indicating a technology at the conceptual or idea stage, and TRL 9 representing a technology that has been fully developed, tested, and is ready for commercial deployment.

Source: Nasa Q: How is TRL Determined? A: Determining the TRL of a technology presented in scientific research involves a nuanced and multi-layered analysis, leveraging ScoutinScience's advanced AI capabilities. Here's an overview of our process: • Data Collection and Preprocessing: Our first step involves gathering and preparing data from publications that detail the technology in question. This process includes extracting text from critical sections of documents to understand the technology's development stage and potential applications. • Technology Assessment: Using a proprietary algorithm, we assess the described technology against established criteria for each TRL stage. This involves analyzing the documentation for evidence of technology validation, development progress, and integration into final product environments. • Deep Neural Network Analysis: The cornerstone of our TRL determination process is our deep neural network, trained on a vast dataset curated by domain experts. This network compares the characteristics of the presented technology against known benchmarks for each TRL stage, enabling us to assign a TRL range accurately. • Expert Verification: To ensure the highest accuracy, our AI-generated TRL assessments are reviewed by domain experts. This step allows us to fine-tune the TRL determination by incorporating human insight and experience, especially in cases where the technology straddles the criteria for multiple TRL stages. • Continuous Learning and Refinement: Our TRL determination process is dynamic, with ongoing adjustments made based on new data, expert feedback, and technological advancements. This ensures that our TRL assessments remain accurate and reflective of current industry standards. By combining cutting-edge AI with expert analysis, ScoutinScience offers a robust and reliable method for predicting the TRL range of technologies disclosed in scientific publications. This tool is invaluable for investors, researchers, and industry professionals looking to understand the readiness level of emerging technologies for commercialization and real-world application.