AI Agents for Scoring Intangible Assets
A Prototype System to Standardize Intangible Asset Scoring Across Japan
A Prototype System to Standardize Intangible Asset Scoring Across Japan
The Use Case Of NEAT
Aim to generate a new kanji based on english prompt
Churn prediction project for a B2B manufacturing education platform
We aim to use AI Agent to refactor an old codebase that helps diagnose the health of solar panels.
Automated system that converts external construction orders into standardized internal quotations using OCR, vector search, and LLMs.