Case Studies
Real World Impact
From automating HKDSE exams to securing university research data. We don't just build demos; we build systems that solve critical problems.
Private RAG System
Financial Services
The Challenge
Employees needed to search across millions of secure documents without data leakage.
Our Solution
- 1Deployed local LLM with RAG architecture.
- 2Implemented document-level access controls.
- 3Enforced strict Role-Based Access Control (RBAC).
The Result
Reduced search time by 90% while maintaining zero data leakage.
Automated Exam Grading
Education Board
The Challenge
Public exams face a bottleneck in manual grading consistency and speed. Students received feedback months after exams, limiting learning opportunities.
Our Solution
- 1Fine-tuned Llama 3 on 10,000+ past DSE papers to understand specific marking rubrics.
- 2Implemented a 'Critic-Agent' workflow where one AI grades and another validates the grade against the rubric.
- 3Generated personalized improvement reports for students highlighting grammar, logic, and vocabulary.
The Result
Reduced grading time by 92% while maintaining a 98% alignment with senior examiner scores in double-blind tests.
University Research Assistant (RAG)
Higher Education
The Challenge
Students struggled to synthesize information from hundreds of PDF research papers for group projects, often leading to citation errors.
Our Solution
- 1Built a Multi-Tenant RAG architecture where each group project has its own isolated vector index.
- 2Implemented 'Hybrid Search' to match specific academic keywords along with semantic meaning.
- 3Strict citation enforcement: The AI refuses to answer if it cannot find source text in the provided PDFs.
The Result
Deployed to 500+ students. Improved research efficiency by 60% and reduced citation errors in final submissions.
AI Learning Performance Monitor
Corporate Training
The Challenge
Instructors had no visibility into which students were falling behind until the final exam failure.
Our Solution
- 1Developed an analytics pipeline that ingests clickstreams, quiz times, and forum interactions.
- 2Deployed a predictive model to flag 'At-Risk' students based on engagement patterns.
- 3Automated personalized nudge emails generated by AI to encourage disengaged learners.
The Result
Decreased course dropout rates by 15% and allowed instructors to intervene weeks before final assessments.
Have a similar project?
Our team is ready to adapt these architectures to your specific needs.