Logify for BCT – AI-Powered Log File Analysis

Logify – AI-Powered Log File Analysis

BCT

BCT is a B2B software company developing and operating specialized industrial software and IT support systems for mid-sized businesses. The company leverages modern AI solutions to optimize internal support workflows.

More About the Project

AI system that automatically analyzes large, unstructured log files, detects errors and anomalies, and generates prioritized solution suggestions — IT support response time reduced from days to seconds.

Project duration

11/2024 (Hackathon) → 04/2026 (On-Premise Deployment)

Category

AI-Powered Support Automation / RAG System

Industry

Software / IT Support (Industrial Software)

My role

Lead Developer & Architect (Hackathon team, then solo production deployment)

Support staff at a B2B software company spent hours to days manually analyzing unstructured log files to identify error sources. No systematic pattern recognition, no automatic prioritization — every case was handled manually.

Development of an AI system that automatically analyzes large, unstructured log files, detects errors and anomalies, and generates prioritized solution suggestions with context. Built in 48 hours at the Black Forest Innovation Hackathon, then deployed to production at the client site.

  • Python (Backend / Analysis Engine)
  • OpenAI LLMs (Error and Anomaly Detection)
  • ChromaDB (RAG Indexing and Retrieval)
  • Pydantic (Data Validation / Structured Output)
  • TypeScript, ReactJS (Frontend / Support Interface)
  • IT support response time reduced from days to seconds
  • Winner at the Black Forest Innovation Hackathon
  • On-premise deployment at client site completed April 2026
  • Follow-up project (HubSpot Support Copilot) in concept phase