- Problem
- Legal and compliance team manually reviewing 100% of incoming documents — unsustainable at scale.
- Solution
- RAG pipeline with domain-specific embeddings, confidence scoring and human-in-the-loop for edge cases.
- Result
- 70% of documents classified automatically. Team processing time reduced by 45%.
From idea to working AI pilot in 4 weeks.
We build a RAG, document agent or custom AI model on your real data — with evaluation metrics and cost projection.
Book a diagnosticWhat's included
- Use case definition
- Data pipeline
- Model/RAG build
- Evaluation report
- Cost projection
Engineering in production
Real problems. Real metrics. No case study theatre.