#Japan #AI Technology #Tokyo #AI Data Inc. #R&D Platform

AI Data Inc.'s Cutting-Edge AI R&D on IDX

In a significant advancement for the research sector, AI Data Inc., based in Minato, Tokyo, has unveiled its latest innovation: the AI R&D on IDX platform. This solution aims to address the challenges researchers face related to fragmented information, excessive reliance on personal knowledge, and rising exploration costs. With this platform, research teams can efficiently manage and utilize a wealth of resources including literature, patents, research notes, and experimental data seamlessly.

Understanding the Challenges in Research Development

Research and development have become increasingly constrained due to issues like information silos and inefficient knowledge transfer. As a result, valuable time that researchers could spend on creative tasks is being wasted on redundant explorations and ensuring the continuity of knowledge during personnel changes. The introduction of AI R&D on IDX seeks to mitigate these issues, thereby enabling researchers to focus on innovation rather than documentation.

Key Features of AI R&D on IDX

The AI R&D on IDX integrates several robust functionalities, powered by generative AI and Retrieval-Augmented Generation (RAG). Here are some of the standout features:

• - Integrated Literature and Patent Search: Users can pose questions in natural language, allowing the platform to instantly retrieve accurate insights from the knowledge team drive using RAG techniques.

• - Experimental Record Search and Summary Support: The system can generate and summarize pertinent information from uploaded experimental data, such as conditions, results, and equipment specifics.

• - Research Process Summary Support: AI automatically extracts key points from imported meeting records and progress reports, ensuring that critical information is readily accessible.

• - Individual Researcher Knowledge FAQ: This feature allows for question-and-answer sessions based on uploaded research documents, transforming personal experiences into shared organizational knowledge.

• - Industry-Specific Templates: Tailored knowledge templates for areas like pharmaceuticals, materials science, and chemical research are developed in collaboration with business partners.

These functionalities signify a revolutionary change in how research teams can operate. Researchers can finally shift their focus back to activities that drive value creation rather than spending precious time on information retrieval.

Future Prospects for AI R&D on IDX

AI Data Inc. is looking to expand its offerings beyond this initial launch. Plans are in motion to roll out specialized templates across various sectors including pharmaceuticals, materials, chemical industries, heavy electrical industries, and academic research institutions. The goal is to establish a standardized “R&D Knowledge OS” in both domestic and international research settings within the next three years, targeting 200 research institutions in Japan alone.

About AI Data Inc.

Founded in April 2015, AI Data Inc. has made significant strides in utilizing data infrastructure and intellectual property management to secure and leverage data assets for over 20 years. The company has gained the trust of more than 10,000 enterprises and over a million customers. Notably, the Data Ecosystem business has been recognized repeatedly with the BCN Award for sales excellence. Furthermore, AI Data Inc. offers cloud data management and recovery services under IDX, praised for its legal support in forensic investigations and evidence disclosure.

In the intellectual property sphere, the group’s innovations include a patent search and application support system called 'Tokkyo.Ai', as well as a marketplace for buying and selling IPs. AI Data is focused on fostering the development of young engineers and is committed to strengthening societal infrastructure through data management and IP protection initiatives.