Sensitive work stays local.
Customer-controlled inference and storage for data and tasks that must not leave the local trust boundary.
PLATFORM / IMPLEMENTATION LAYER
Kairos Core is the reusable implementation layer beneath Invariant, Context Passport, Valence, and Lightcone. It generalizes research-control patterns developed in XGCS systems into shared state, evidence, lineage, deployment, and authorization machinery. Domain Packs hold what is specific to one industry. Core is not a fifth public product family.
A bounded claim enters with intended use, source, and stop conditions.
AUTHORITY / NONEThis is a specified Kairos Core governance model. It does not represent live customers, deployed models, or operational telemetry. Historical support, forward observation, shadow, paper and live are deliberately distinct states here; nothing in this system collapses them into "validated".
A claim progresses from proposed through research, historical support, forward observation, decision eligibility, approval, deployment, and monitoring. Deployment is itself three separately authorized states: shadow, then paper, then live. Rejection and underpowered evidence can return to retesting. Monitoring can degrade, suspend, or retire a deployed system.
Authorized data with provenance, policy labels, and effective-time / available-time / ingest-time semantics.
Canonicalize what the system may know before candidate generation begins.
Compile the target, information set, objective, constraints, baselines, evidence requirements, authority, and stop conditions.
Generate, mutate, recombine, cull, revive, and preserve diverse candidate systems across representations.
Freeze survivors and accumulate prospective evidence. Historical success cannot silently substitute for forward behavior.
Separate finding outcome, evidence maturity, and advancement authority across reject, retest, observe, advance, suspend, and retire.
Recommendations and external execution remain separate permissions. Consequential action is explicitly authorized.
Customer-controlled inference and storage for data and tasks that must not leave the local trust boundary.
Local models plus approved private-cloud services inside the organization's policy boundary.
Permitted providers may support approved tasks without becoming the system of record, evidence authority, or owner of the customer's sensitive context.