#Japan #Tokyo #Drug Discovery #AI Data Corporation #AI R&D

AI Data Corporation Transforms R&D Practices

In a significant leap for research and development in the pharmaceutical field, AI Data Corporation, based in Minato, Tokyo, has introduced a groundbreaking AI knowledge foundation called "AI R&D on IDX." This innovative platform aims to convert the wealth of knowledge accumulated in various research environments into reusable assets, signifying a monumental shift in how research data is handled.

Addressing Challenges in Drug Discovery

Traditionally, once research projects reach their conclusion, valuable items like notes, meeting minutes, and experimental records become archived, often leading to a phenomenon known as "knowledge hoarding." This has created challenges such as:

• - Lack of data reusability: After a project concludes, findings are often left unutilized.
• - Difficulty in transferring knowledge from one researcher to another: Critical insights can become lost over time.
• - Repetition of similar studies: Researchers may inadvertently replicate experiments without access to previous data.

This cycle not only wastes resources but diminishes the overall productivity and reproducibility of research.

The Solution Offered by AI R&D on IDX

The introduction of the AI R&D on IDX platform seeks to redefine the lifecycle of research findings, extending it from "storage to search to analysis to reuse." Here’s how the platform stands out:

• - Centralized Management: All experimental data, discussion logs, and reports are managed on a singular platform, allowing for cross-referencing between different research themes.
• - AI-Powered Insights: The platform intelligently analyzes correlations between results, facilitating the broader application of research findings across different investigations.
• - Utilization of Failed Experiments: Rather than discarding unsuccessful experimental data, the platform incorporates it to prevent future mistakes and foster innovative applications.
• - Fast Search Capabilities: With the integration of AI, searching through patents, academic papers, and internal experimental documentation becomes faster and more efficient.
• - New Hypothesis Generation: AI can propose new hypotheses by combining past research, aiding scientists in their explorations.

This ability to transform research data from a conclusion into a legacy not only streamlines the research process but promises significant reductions in timeline for breakthroughs. For instance, research that typically takes three years can potentially be accomplished in just three months with the support of the platform.

Future Aspirations of AI Data Corporation

Looking ahead, AI Data Corporation plans to collaborate with sectors in pharmaceuticals, materials science, electronics, food production, and academic institutions to implement a research process that accumulates knowledge effectively. The goal remains to achieve sustainable knowledge assets while simultaneously accelerating the speed of research globally, emphasizing quality and efficiency.

Founded in April 2015, AI Data Corporation has established itself as a leader in data and intellectual property management. With a capital of 1 billion yen, the company has garnered trust from over 10,000 enterprises and more than 1 million customers. Their holistic data ecosystem business model, which includes data sharing, backup, recovery, and purging, has received recognition with 16 consecutive years of top sales in the BCN awards.

Beyond data management, their focus on forensic investigations and evidence disclosure services has earned them accolades, including the Minister of Economy, Trade and Industry Award. Furthermore, under their intellectual property infrastructure, AI Data Corporation is developing systems that enhance patent search and application support, creating IP marketplaces to facilitate the monetization of intellectual property.

This integrated approach culminates in their generative AI platform, "AI孔明™", merging data and intellectual property management. Furthermore, the company is committed to workforce development in collaboration with the Ministry of Defense, contributing to strengthening the societal infrastructure through data governance and intellectual property protection.