elekto-energy/deterministic-evidence-engine

The Deterministic Evidence Engine is a contrarian technical play against the current RAG (Retrieval-Augmented Generation) trend, focusing on zero-hallucination, verifiable outputs. While the concept of 'not-generative' AI systems is gaining traction in regulated industries (like energy, as implied by the organization name), this specific project currently has zero stars, forks, or developer velocity at 40 days old. This indicates it is either an internal tool recently open-sourced or a very early-stage experiment with no community footprint. The defensibility is low because the 'moat' would need to be either a massive dataset, a complex set of regulatory rulesets, or a wide network of enterprise users—none of which are present here. Frontier labs (OpenAI, Anthropic) are unlikely to build this as they are focused on scaling generative models, but enterprise data platforms like Palantir or Microsoft Purview could easily implement similar deterministic audit layers. Its primary value is as a specialized component for high-stakes environments where generative uncertainty is legally or operationally unacceptable, but it faces a steep climb to become a standard tool.