Platform
One platform powering specialized business software.
Every NotifyHub product is a specialized application built on the same foundation. The workflows differ by industry. Identity, permissions, tenancy, data, analytics, and intelligence do not.
Architecture
Specialized above. Shared below.
NotifyHub.ai
AI software platform and company
Vertical products
School
Education
AvailableCollege
Education
AvailableHospital
Healthcare
Coming soonRestaurant
Hospitality
Coming soon
Industry workflows
Education
Students, academics, attendance, fees, staff
Healthcare
Patients, admissions, departments, billing
Hospitality
Orders, sales, inventory, staff, customers
Common platform layer
- Identity
- Organizations
- Roles & permissions
- Multi-tenant architecture
- Workflow engine
- Data platform
- Analytics
- AI intelligence
- Auditability
- Integrations
- Billing
AI intelligence
One intelligence layer serves every vertical. Each product contributes its own operational data and receives insight in its own language.
Common platform layer
What every product inherits.
- Identity
- One account model for the people who use NotifyHub, across every product they have access to.
- Organizations
- A commercial customer can operate several institutions or locations, each with its own data boundary.
- Roles & permissions
- Permission codes govern what each role can read and change, enforced in the application and data layers.
- Multi-tenant architecture
- Every record belongs to a tenant. Tenant scope is the primary isolation boundary across the platform.
- Workflow engine
- The operational sequences each industry depends on — states, transitions, approvals, and events.
- Data platform
- Structured operational records, versioned schemas, and migrations shared by every vertical.
- Analytics
- Deterministic metrics, trends, thresholds, and anomaly detection computed from operational data.
- AI intelligence
- The reasoning layer that interprets analytics output, explains it, and recommends next steps.
- Auditability
- Significant activity is recorded so it can be reviewed afterwards.
- Integrations
- Interfaces for connecting external systems as each product matures.
- Billing
- Subscriptions, plans, and entitlements that determine what each organization has access to.
How work becomes insight
The same path, in every vertical.
- 1
Operations
The everyday workflows of the organization.
- 2
ERP Data
Structured operational information generated by those workflows.
- 3
Analytics & Signals
Metrics, trends, rules, thresholds, anomalies, and risk indicators.
- 4
AI Intelligence
AI interprets the signals in organizational context.
- 5
Insights
Clear explanations of what changed and why it matters.
- 6
Actions
Recommended next steps for people responsible for the operation.
- 1
Operations
The everyday workflows of the organization.
- 2
ERP Data
Structured operational information generated by those workflows.
- 3
Analytics & Signals
Metrics, trends, rules, thresholds, anomalies, and risk indicators.
- 4
AI Intelligence
AI interprets the signals in organizational context.
- 5
Insights
Clear explanations of what changed and why it matters.
- 6
Actions
Recommended next steps for people responsible for the operation.
FAQ
How the platform is put together.
- What is the NotifyHub platform?
- One technology foundation underneath every NotifyHub product: identity, organizations, permissions, multi-tenant architecture, workflow, data, analytics and AI intelligence. The industry products are built on it rather than beside it.
- Why build vertical products instead of one configurable ERP?
- Because the workflows genuinely differ between a school, a college, a hospital and a restaurant, while identity, permissions, tenancy, data and intelligence do not. Verticalizing the workflow and sharing the foundation gives each industry software that fits it without rebuilding the foundation four times.
- How is one organization's data kept separate from another's?
- Every record belongs to a tenant, and tenant scope is the primary isolation boundary throughout the platform. Permission checks are applied in both the application and the data layers, so hiding a control in the interface is never the only barrier.
- Is AI part of the platform or part of each product?
- Part of the platform. Deterministic analytics and the AI interpretation layer sit in the foundation, so every product inherits the same intelligence architecture instead of each one implementing its own.