Case Studies
Real-world solutions with measurable results for our clients
10 min read
b6aiAI & Conversational Tech
Custom NLP Layer for Intelligent Intent Identification at b6ai
Built a custom NLP layer using the Compromise package for initial intent identification, reducing infrastructure costs by ~70% with a multi-tier fallback architecture using pgvector and Qwen 7B.
~70%
Infrastructure Cost Reduction
95%+
Intent Accuracy
<50ms
Response Latency
Compromise.jsPostgreSQLpgvectorQwen 7B+2
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8 min read
FinFlowDocument Processing
AI-Powered Document Processing Pipeline for Automated Data Extraction
Built an intelligent document processing pipeline that combines OCR, NLP entity extraction, and ML classification to automate data extraction from unstructured documents, reducing processing time by 90%.
90%
Processing Time Reduction
98%
Extraction Accuracy
60%
Operational Cost Savings
PythonTesseract OCRspaCyPostgreSQL+3
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