Controlled access
Requests are reviewed individually. Access is granted per person and can be suspended or revoked at any time — authorization is re-checked on every protected request, not once at the door.
Intelligence, behind the glass. Invitation only
A private environment for exploring Greister's intelligence systems.
Built for controlled access, rigorous experimentation, and the next generation of machine intelligence.
MERIDIAN is a controlled research surface. It exists to make selected Greister models usable — safely, precisely, and only for people who have been authorized to work with them.
It is not a public playground. Every visitor can request access; every request is reviewed; only approved users reach the protected workspace.
Requests are reviewed individually. Access is granted per person and can be suspended or revoked at any time — authorization is re-checked on every protected request, not once at the door.
Submit validated inputs, run supported operations, and inspect exactly what a model returns. No decoration, no invented confidence — only real outputs, labelled honestly.
Built around models, not the other way around. Each system exposes only the capabilities it actually supports, and nothing about it leaks into the browser.
Intelligence is not defined by what it reveals, but by what it allows us to understand.
Access to MERIDIAN is deliberately human. An application tells us who you are and how you intend to use the platform; a reviewer decides; an invitation follows.
Submit the access form with your background, intended use, and reason. Your application is stored securely and enters the review queue.
A Greister administrator inspects the application and approves or rejects it. Every decision is recorded in an audit history.
Approved applicants receive an invitation to create their account. Only then does the protected workspace open.
MERIDIAN is model-independent by design. A forecasting system may accept candles, markets, and horizons; a different system may accept something entirely different. The workspace adapts to each model's declared capabilities instead of forcing every model into one template.
Models that are not configured or not currently available are labelled as such. If a server-side integration is missing, the interface says so plainly — and no output is invented to fill the gap.
Each model declares purpose, version, supported operations, accepted inputs, and availability. The registry — not the interface — decides what you can do.
A forecasting model exposes charting, horizons, and candle input. A different model reshapes the workspace around what it actually supports.
Predictions, intervals, or confidence appear only when the model genuinely returns them. The chart draws a forecast only after a real response arrives.
The most useful discoveries often begin at the edge of what we already know.
When a forecasting model is connected, the workspace accepts validated candle data, applies only the horizons that model supports, and renders the output the model actually returns — overlaid on the data you submitted.
Every candle is checked before submission: structure, timestamps, numeric values, sequence length. Input is never silently altered, and failed requests are explained rather than disguised.
Timestamp, open, high, low, close, and volume when supported. Pasted as JSON or CSV, or loaded from a file — validated client-side, and again server-side.
Predicted points, directional calls, or forecast intervals — exactly the fields the model returns, with the raw response kept alongside for inspection.
Oracle ViSION and Goose are examples of Greister intelligence systems that may eventually be accessible through MERIDIAN. The platform does not assume they behave alike — and it will never list a model as available before that is actually true.
Every model offers a different way of observing the world.
What will remain stable is the part that matters: authentication, controlled access, entitlements, audit history, and a workspace that adapts. Models will come and go on top of it.
This page describes what the platform is designed to do. Features that are planned rather than implemented will be enabled only when they are real.
Access review, invitations, entitlement checks, revocation, and auditing belong to the core platform — not to any individual model.
Each system is integrated through its own adapter with its own validated inputs and outputs. Adding a model never means rebuilding the platform.
Authorization is re-checked on every protected request. Access granted is access that can be precisely and immediately withdrawn.