The same relational engine that drives M.E.M.I. and ETOS, applied to economics and market data. Plus corpus, documentation, and papers that are open to download.
M.E.M. Relational Field Generator is the generic engine. Finance and Marketing are domain instances of it — the same principle of tension, relation, and recoverability, applied to different data.
Relational field analysis applied to financial time series — tensions and recoverability patterns rather than purely technical indicators.
What it doesn't do: is not investment advice.
The same architecture applied to marketing and campaign data. Featured here as a summary, and in full depth under Research & Lab.
What it doesn't do: does not automate decisions without human review.
The shared engine behind Finance, Marketing, and the raw-materials tracks. Same relational principle — different data fields.
What it doesn't do: is not a finished SaaS product yet.
A local accounting programme, not a research engine — but it belongs here, as the practical finance tool in the ecosystem.
A Python + PySide6 + SQLite app for sole proprietors. No cloud, no subscription — your data stays on your own machine. Dashboard, income, expenses, out-of-pocket costs/owner contributions, and projects.
The foundational theoretical and constitutional material is publicly available to download and verify.
Six archived documents — the full constitutional foundation for M.E.M.I. and School Companion.
Zenodo · DOI 10.5281/zenodo.18910676The common ancestor of the whole governance architecture. Published and citable.
PDF · EnglishA short, shareable introduction to ETOS — for partners and press.
"Need a specific document or dataset we haven't published yet?"
Same relational principle — now applied to numbers, markets, and shareable knowledge.