Learning & Data Boundaries
Organization learning stays in the organization; platform hardening carries no customer content; network intelligence is not offered today.
Your organization's learning stays in your organization. Mediafier agents get better from the work they do for you; what they learn is yours, and it does not leave your tenant.
Three things that are often blurred
Organization learning
Decision precedent, validated heuristics, and process memory built from your runs.
No. Scoped to your organization; never visible to another tenant.
Platform hardening
Fixes, guards, and safety improvements Mediafier makes to the shared platform.
Carries no customer content. A fix made for one customer's problem class applies to the platform; the customer's data does not.
Network intelligence
Cross-organization benchmarks or shared learning.
Not offered today. If it is offered, it will be an explicit, opt-in contract — never a default.
What the platform learns from your work
Decision precedent — which decisions were made, on what evidence, and which a person approved. Searchable within your organization.
Validated heuristics — proposals from the learning loop that a person reviewed and approved. Nothing proposed becomes active on its own.
Process memory — built only from closed, structured fields of a run (what was asked, what ran, what resulted), never from free-text content or prompt bodies.
What the platform does not do
No fine-tuning. The learning loop changes the library of governed skills and the directives around them — never model weights. The model is whichever foundation model your team has chosen.
No cross-tenant learning. One organization's runs, decisions, and memories are not an input to another's.
No blending of user and organization memory. What an individual user's session learns is kept separate from the organization's shared learning.
No customer content in platform hardening. The shared platform improves from problem classes, not from your media, prompts, or results.
How this is enforced
Tenant scoping is enforced at the platform's data layer, not by convention; cross-organization access is tested in CI; and the learning loop's promotion path requires a human decision that is itself recorded. Where the platform cannot show a boundary, it does not claim one.
What this page is not
It is not a data-retention schedule and does not present retention as a privacy control; retention terms live in your agreement.
It is not a benchmark programme. No anonymized cross-customer benchmark is shipped today.
Where to go next
Reviewing tenancy and identity boundaries
Understanding how agents get better
Supervising what agents are doing
Running an enterprise review
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