How a Datifact platform works.
Your systems supply the data. Your business definitions give it meaning. Your permissions shape how it is used. Applications and agents put it to work. QubeAI™ is the technology foundation that connects these four layers.
Example workflow
Which customer orders need attention? Follow this example through the layers below. It explains a possible workflow, not a live customer deployment.
Data: one trusted source.
What it is
The data needed for your workflows, connected and organized across your existing systems.
What we build
Connections to agreed source systems, scheduled refreshes, and checks that flag missing, inconsistent, or outdated data.
What you get
A documented data model with clear sources and quality checks.
Example · Data
Bring order records from the ERP together with shipment updates and customer account records from the CRM.
Ontology: your business, defined once.
What it is
A written model of how your business works. It names the things you run on (customers, jobs, buildings, accounts, invoices), how they connect, and exactly how each metric is calculated.
What we build
Your definitions, metric formulas, and rules, worked out with the people who own them. Your existing systems stay the source of truth.
What you get
Shared definitions and calculations that applications and agents can use consistently.
Example · Ontology
Define how an order relates to its customer and shipment. Agree that an order is late when its promised ship date has passed and it has not shipped.
Context: the right information for every request.
What it is
When someone on your team asks a question or the platform runs a task, the context layer gathers exactly the data, definitions, and rules it needs, limited to what that person is allowed to see.
What you get
Relevant source records, business rules, and access permissions assembled for the task.
Example · Context
Give the agent the order status, promised date, and escalation policy, limited to the accounts the requesting user can access.
Application: the platform your team uses.
What it is
The part your people see and work in every day.
What we build
Command centers, findings and alert tracking, approval workflows, recurring reports, and AI agents, designed around how your team already works.
What you get
Applications and agents that use shared business definitions rather than separate logic in every tool.
Example · Application
Show the affected orders with their source records and draft follow-up tasks for the account owner to review.
Higgs: coordinating agents and workflows.
Higgs is the GenBI orchestration agent that coordinates work across these layers. It gathers context, applies your business definitions, and coordinates agents and workflows within the permissions you set. Your team reviews proposed actions before they proceed.
Example · Orchestration
For the order workflow above, Higgs coordinates the review, assembles the supporting records, and prepares follow-up tasks. Creating those tasks in a connected system requires the configured permissions and approval.