Hi HN! I built BrainPredict because I was frustrated with cloud-only AI solutions that require sending sensitive business data to third parties.

What it does: - 445 specialized AI models covering 16 business domains (finance, HR, sales, supply chain, etc.) - Runs 100% on-premises - your data never leaves your infrastructure - Intelligence Bus architecture that lets AI models share insights across platforms - Works completely offline once installed

Tech stack: - Python backend with FastAPI - XGBoost, Prophet, LSTM, BERT for predictions - No external API calls (OpenAI, etc.) - fully autonomous - PostgreSQL + Redis

The models predict things like: - Revenue (95% accuracy) - Customer churn (30 days ahead) - Employee turnover risk - Inventory needs - Cash flow

Live demo: https://brainpredict.ai/demo/live

I'd love feedback on the approach. Is on-premises AI something enterprises actually want in 2025?