Psychohistory System
About olivLaw
olivLaw is a multi-dimensional behavioral prediction system for Romania, the European Union, and the United States. Inspired by the concept of psychohistory from Isaac Asimov's Foundation series, olivLaw combines real-time data ingestion, NLP processing, economic modeling, multi-agent simulations, and an autonomous cognitive core.
What we do
- Automated ingestion from 50+ sources: RO/EU/US news, OSINT, social media, Telegram, Reddit
- NLP processing: BERT sentiment, classification, entity extraction, narrative clustering
- Economic indicators: BNR, INS, financial markets, FX, commodities
- Multi-agent simulations: Monte Carlo scenarios, causal analysis, I&W (ICD-203)
- Auto-published analyses through an editorial pipeline with source verification
- Cognitive core (Three Laws) with neural memory and evolution cycle
Tech stack
Python 3.12, Go 1.22, Next.js 15, Django 5, FastAPI, Celery, PostgreSQL + TimescaleDB, Redis, Neo4j, Docker. 39 services, 160k+ lines of code.