What if your tools could reason about what you know?
Every field that works with evidence faces the same problem: too many sources, too many connections, no way to see what contradicts what. Theseus is an engine that finds the structure in your knowledge.
Current AI gives you an answer. Theseus builds you a model.
A large language model retrieves from training data. Theseus reasons across your evidence: every source, every claim, every contradiction, traced to its origin.
The same engine adapts to any domain that works with evidence.
Theseus does not know your field. It learns the structure of your evidence and discovers what you could not see by reading one source at a time.
From storing information to tracking what you believe and why.
Traditional tools store documents. Theseus tracks claims, surfaces contradictions, and updates your belief model as evidence arrives.
The Graph IS the Network
Every object type, every engine pass, every infrastructure decision. Hover a hub node for implementation details. Drag to rearrange. Scroll to zoom.
A multi-pass ML pipeline that learns from its own operation.
Six analysis passes chain together. Each signal is independent; the engine merges results by maximum score with dominant signal tracking.
Eight Levels of Intelligence
The engine runs in two modes. Railway hosts the web service with ONNX Runtime for fast inference (no PyTorch). Modal dispatches GPU workloads: LoRA fine-tuning, GNN training, KGE embedding. PostgreSQL with pgvector stores embeddings; PostGIS handles spatial queries. Redis + RQ manages three task queues.