A Unified Model for Operational Data
Miradoris constructs a coherent semantic ontology from every connected data source. Assets, locations, tasks, and rules are modeled as first-class entities with defined relationships — enabling consistent queries, automation triggers, and cross-system reasoning.
Structured representation of operational reality
Every physical asset, location, task, and rule in your environment is represented as a typed entity within the Miradoris ontology. Properties, constraints, and metadata are defined once and enforced across the entire platform.
Map every connection between operational entities
The ontology captures typed, directional relationships between entities. An asset is located in a zone, assigned to a task, governed by a policy. These relationships are queryable, traversable, and used to drive automation logic across the platform.
A living graph that evolves with your operations
The ontology is not a static schema. As sensors report, tasks complete, and assets move, the graph updates continuously. Subscribers receive change notifications in real time, enabling reactive dashboards, automation triggers, and audit logging without polling.
Asset A-12 moved to Zone B
Task T-089 completed by Worker W-4
Policy P-03 triggered: altitude limit exceeded
Sensor S-7 reading updated: temperature 42.1C
New relationship: Drone D-05 assigned to Task T-091
One ontology across every data source
Disparate systems — SCADA, ERP, IoT platforms, GIS — each use their own data models. Miradoris maps every external schema into the unified ontology, resolving conflicts, deduplicating entities, and maintaining bidirectional sync. The result is a single source of truth for all operational data.
Be among the first
We are looking for partners willing to test Miradoris in real operational environments. Early adopters get priority access to the platform at significantly reduced rates.
We'll review your request and follow up. No unsolicited contact.