Project Vector

Sector

Recursive-built AI for other verticals

Type

LLM

AI Type

Generative AI Agents (LLM)

Project Delivered

Case Study

AI-powered system for generating accurate, diverse math problems, aligned with curriculum standards.

This project aims to build an automated question generation system that produces accurate, diverse, and curriculum-compliant math questions. Unlike generic prompt-based methods, it leverages the client’s internal assets (e.g., past questions, writing guidelines, and subject-specific rules) to ensure both quality and relevance.

"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry

"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry

"The combination of an engineering viewpoint and expertise in biophysics was a tremendous asset and a great source of reassurance."

Takeshi Kato

Chief Engineer Environment and Resources Division, Sumitomo Forestry