advanexus
Discuss a critical flow

Trust architecture

Explicit boundaries connect the platform without collapsing responsibility.

advanexus is a modular platform with separate tenant and administrative delivery surfaces, control and tenant data stores, workload queues, storage adapters and a trusted Python runtime boundary.

Review deployment architecture
Trust architecture
Control plane and tenant data plane have different jobs.

The control plane manages tenant registry, platform identity and sanitised system projections. Tenant databases hold project resources, versions, runs and the tenant-wide Assurance read model.

Canonical modules retain ownership.

SQL Console owns QueryExecution, Dataset owns its data contract, Analytics owns report execution and Sandbox owns file, transform and notebook lifecycles. Assurance projects supported evidence rather than becoming a generic data owner.

Workloads separate operational responsibilities.

Web delivery, durable execution, retained artifacts, Assurance projection and controlled Python workloads have distinct runtime, isolation and recovery needs.

Architecture diagrams are not deployment acceptance.

Current Docker Compose boundaries inform the target AWS design. The exact image, roles, networks, storage, observability, backup and failure behaviour still require environment-specific validation.

Control plane and tenant data plane have different jobs.

The control plane manages tenant registry, platform identity and sanitised system projections. Tenant databases hold project resources, versions, runs and the tenant-wide Assurance read model.

Canonical modules retain ownership.

SQL Console owns QueryExecution, Dataset owns its data contract, Analytics owns report execution and Sandbox owns file, transform and notebook lifecycles. Assurance projects supported evidence rather than becoming a generic data owner.

Workloads separate operational responsibilities.

Web delivery, durable execution, retained artifacts, Assurance projection and controlled Python workloads have distinct runtime, isolation and recovery needs.

Architecture diagrams are not deployment acceptance.

Current Docker Compose boundaries inform the target AWS design. The exact image, roles, networks, storage, observability, backup and failure behaviour still require environment-specific validation.

Continue exploring

Deployment model Production readiness belongs to an exact build in an exact environment.

Runtime diagrams and repository tests describe boundaries. Production sign-off requires recorded migration, authorisation, recovery, storage, connector, browser and operational acceptance on immutable artifacts.

 Product advanexus · Product

advanexus is a platform for connecting and processing data from your systems and files. Prepare data, run business checks and build reports, with clear access rules and a record of each execution.

 Security and governance Security decisions remain server-owned and scope-bound.

Browser visibility is not an authorisation boundary. Protected routes, application services and repository predicates re-evaluate identity, tenant, project and permission context where the operation requires it.

Next step

Start with the flow that cannot afford ambiguity.

Bring the systems, owners, rules, delivery obligations and evidence requirements that matter.

Discuss a critical flow

In brief

Does advanexus replace systems of record, a warehouse, orchestrator, BI tool or notebook?

No. Authoritative transactions, storage, compute and specialist work remain in the systems that already perform them. advanexus adds a shared control and evidence path across supported hand-offs and also provides controlled modules where that path is needed.

Where does customer data live?

Deployment and job policy decide the path. Supported STANDARD work may use controlled spool, EPHEMERAL_STAGING requires verified deletion before success, and NO_STAGING permits only a content-free source-to-target path with bounded in-memory pages. Connector and production acceptance still apply.