Building emergent platforms for collective intelligence.
Latent Data Networks is building a semantic mapping platform for collective intelligence research. The platform processes text contributions through a machine learning pipeline using sentence transformers for semantic embedding and dimensionality reduction to project contributions into a two-dimensional space — making the structure of collective thinking directly visible rather than ordering content by time or engagement. Contributions are anonymous and processed on a 24-hour processing cycle.
The platform is built on Google Cloud Run with a FastAPI backend, PostgreSQL database, Dagster for pipeline orchestration, a real-time WebSocket layer for live interaction, and Prometheus and Grafana for monitoring. It is designed as research infrastructure and is currently in active development, with a validation test planned for 2026.
The full data processing pipeline and user interface have been completed and validated end-to-end in a local environment. Final testing is underway ahead of production deployment on Google Cloud Platform. Live user testing is planned for Q2 2026.
Core infrastructure is operational on Google Cloud Platform. Database, pipeline orchestration, real-time broadcast layer, automated deployment pipeline, and monitoring dashboards have all been commissioned and validated through over 2,000 processing cycles.
Nick Russell
Independent developer & researcher.