Data & Intelligence
AI orchestration and intelligent document processing
Arcore Maestro
Arcore Maestro is a hybrid, agent-based orchestration conductor for AI and data workflows. It intelligently routes tasks to efficient local LLMs or secure, sandboxed worker tools, reserving large external models for planning, creative generation, and self-healing analysis. It serves as the central nervous system for autonomous agents within the Arcore ecosystem.
local-llm-server
A robust, production-ready API for managing and serving local language models with comprehensive performance monitoring. It provides an OpenAI-compatible API layer over local inference engines (llama.cpp, etc.), enabling secure, air-gapped AI capabilities for the enterprise.
Chapterize
A document processing engine that converts static PDFs into structured, web-ready HTML chapters. Chapterize uses a rules-based engine with strict regex patterns and DOM analysis to detect logical breaks, clean content, and make legacy documentation accessible, searchable, and mobile-friendly.
Arcore Career
A Career Knowledge Graph System that treats individual career data (skills, achievements, roles) as a queryable database. ArcoreCareer uses rules-based parsing to extract job details, enables dynamic resume generation, and facilitates structured career planning.
Arcore Conduit
A robust, scalable data ingestion and ETL (Extract, Transform, Load) platform that serves as the central "conduit" for the Arcore ecosystem. ArcoreConduit extracts data from diverse external sources (REST APIs, websites, RSS feeds), stores raw data, and transforms it into normalized, structured formats for downstream consumption. It combines traditional ETL capabilities with modern AI/LLM processing for intelligent data transformation.