Accelerating AI Utilization of Proprietary Corporate Data, AI-Powered Data Modeling Tool "Mode-ai" Launched. Automatically Analyzes Knowledge from Existing Documents, Drastically Reducing Engineers' Cognitive Load.
NQ Score
100/100
AI Summary (NQ-processed)
Data Nomination Partners Inc. has launched "Mode-ai," an AI-driven data modeling tool designed to accelerate AI utilization of proprietary corporate data. By automatically analyzing existing documents and structures, Mode-ai significantly reduces engineers' cognitive load and streamlines the creation of AI-Ready data infrastructure using their proprietary AIR-DML™ language. A limited-time campaign offers all features for free until September 2026.
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Frequently Asked Questions
- Q: What is the name of the AI-powered data modeling tool launched by Data Nomination Partners Inc. and on what date was it released?
- A: The AI-powered data modeling tool launched by Data Nomination Partners Inc. is called Mode-ai, and it was released on April 7, 2026.
- Q: Who is the CEO of Data Nomination Partners Inc. and what is the company's primary service focus?
- A: The CEO of Data Nomination Partners Inc. is Hiroaki Handa, and the company specializes in providing data management support services.
- Q: What proprietary language technology forms the core of the Mode-ai data modeling tool?
- A: The core technology of Mode-ai is the proprietary next-generation context engineering language called AIR-DML™, which stands for AI-Ready Data Modeling Language.
- Q: How does Mode-ai reduce engineers' workload when starting new projects involving data systems?
- A: Mode-ai reduces document analysis time by 90% by automatically generating data models from existing table definition documents commonly found in Japanese IT environments.
- Q: What types of input files can be used with Mode-ai to generate AI-analyzed data models?
- A: Mode-ai supports importing existing table definition documents in formats such as Excel and CSV to analyze and visualize complex data relationships.