Private AI workspace
Package an open-source chat or knowledge interface with customer-specific data and connected model endpoints.
Open-source software can be the foundation of a product instead of a repository customers must operate themselves.
MIOSA can host the application layer, data services, customer environments, updates, and public or private access.
Self-hostable now External services may be requiredPrivate AI workspace
Package an open-source chat or knowledge interface with customer-specific data and connected model endpoints.
Automation cloud
Offer a managed workflow automation product with templates, credentials, execution history, and support.
Analytics product
Turn an open-source dashboard or business intelligence system into an opinionated vertical service.
Internal developer portal
Package source control, deployment, service catalog, and environment workflows for engineering teams.
Knowledge platform
Host search, document processing, collaboration, and agent workflows around private customer content.
Customer support suite
Combine an open-source inbox or help desk with agent assistance and industry-specific workflows.
Media management
Provide a managed asset library, processing pipeline, search, and creative automation experience.
Security operations tool
Operate open-source scanning or monitoring software with a customer portal and evidence workflow.
flowchart TB Source["Open-source project"] --> Package["MIOSA application package"] Package --> Shared["Shared multi-tenant service"] Package --> Dedicated["Dedicated customer deployment"] Package --> Computer["Persistent customer computer"] Shared --> Data["Managed customer data"] Dedicated --> Data Computer --> Data Data --> Domain["Branded domain and access"]
Run one application with tenant-aware data boundaries.
This is efficient when the upstream software supports strong multi-tenancy.
Run an isolated application release for each customer or regulated boundary.
This simplifies customization and failure isolation but requires fleet-aware updates.
Run software in a full desktop environment when it expects a graphical session, local browser, or native application.
Customers pay for outcomes around the software:
Build a new immutable candidate before changing production.
Verify its configuration, data compatibility, health, route, and required capabilities.
Promote the exact candidate only after those checks pass.
Keep the prior release available for rollback.
For dedicated customer deployments, use a rollout controller rather than manually visiting every instance.
Potential foundations include AI interfaces, workflow engines, knowledge systems, analytics tools, support platforms, developer portals, data services, and media applications.
Choose a project based on maintainability, license, data model, upgrade behavior, health checks, and whether it supports the isolation model your product needs.
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