2-6
Weeks Source of Truth Across All Assets
Any Device
Any Protocol
100%
Data Quality Visibility
Weeks Source of Truth Across All Assets
Any Protocol
Data Quality Visibility
aQ Atria covers every step from initial site survey to validated go-live. We manage sensor selection for each application, coordinate gateway installation, validate all protocol connections, and establish the performance baseline before any outcome service activates.
No software or optimisation engine can compensate for a mis-located flow meter, a stuck valve sensor, or a gateway that drops readings. Atria exists because Milvian's outcome-based pricing depends entirely on data quality. If the data is wrong, the savings claims are wrong.
Because Atria validates data quality before go-live, EnergySmart, WaterGuard, and AirSafe generate reliable baselines from the first week. Customers do not spend months cleaning data or reconciling contradictory readings.
Connected Platform
From site survey to validated go-live, every step is orchestrated in one system. Ask about deployment status, sensor health, or commissioning progress with one command.
Traditional deployments mean spreadsheets, checklists, and months of back-and-forth. Atria's AI manages the entire process: tracks every sensor, validates every data point, flags every issue, and tells you exactly where you stand instantly.
Instead of asking "what's the commissioning status?" and waiting for a weekly report, you ask the system and get: "847 of 892 points validated. 45 pending. 3 sensors showing drift. ETA to full go-live: 4 days. Would you like me to flag the drift issues for field team?"
Ask "what's the status?" and get instant visibility across every sensor, gateway, and data point no waiting for reports.
Every data point validated against acceptance criteria against acceptance criteria automatically engineering units, plausibility, cross-reference checks.
Sensor drift, signal loss, flatlines, calibration drift the AI catches problems before they affect outcome services.
Coordinated field team scheduling, predicts go-live dates, and manages dependencies across the deployment timeline.
Post-deployment, the Continuous sensor health monitoring and flags degradation before it affects data quality.
The 6-Phase Deployment
Physical survey of the facility. Every asset class is catalogued. The digital model of the facility topology and identifies sensing opportunities.
We select from a validated sensor catalogue calibrated for each application matching accuracy class, installation feasibility, and target KPIs automatically.
Edge gateways installed at mechanical room level. The system manages protocol translation configurations and validates connectivity for each gateway.
Every data point validated against acceptance criteria with documented acceptance criteria: engineering unit check, plausibility range, cross-reference validation, 48-hour trend review.
Once data is validated, the performance baseline is established. Outcome services activate against the verified baseline not guesswork.
Continuous sensor health monitoring post-deployment. Drift, signal loss, calibration issues flagged and work orders generated automatically.
Asset Classes Covered
Use Cases
Existing buildings with aging BMS, mixed-vendor equipment, and limited sensing.
Developers need verified commissioning data before occupancy.
REITs deploying across multiple sites need standardised deployment.
Maintain data continuity during BMS replacement.
Healthcare, data centers, labs require rigorous validation.
Establish M&V baselines for carbon disclosure and net-zero.
Deployment Scenarios
Multi-tenant, mixed-use, high-rise
Hospitals, clinics, aged care
Process plants, warehouses, logistics
Colocation, enterprise, hyperscale
Terminals, hangars, airside
Hotels, resorts, convention centers
Universities, schools, campuses
Shopping centers, big box
Platform Comparison
| Capability | Aqueduct (Atria) | Other Smart Building Platforms |
|---|---|---|
| Deployment-first architecture | We own data quality end-to-end | Manual spreadsheet tracking |
| Sensor selection & installation | Optimised, included as service | Customer responsibility |
| AI-powered commissioning | Automated validation + acceptance | Manual checklists |
| Continuous sensor health | Monitoring + auto work orders | Customer monitors own sensors |
| Time to live data | 2-6 weeks | 6-12 months typical |
| Data quality ownership | Milvian owns quality | Customer manages data |
Measurable Results
Weeks to Live Data
Not 6-12 months
AI-Validated Quality
Before go-live
Outcomes Begin
Reliable baselines
Deployment Ownership
From survey to go-live
Schedule a 30-minute demo. See the AI-managed deployment process in action.
Global end-to-end smart building platform. AWS Advanced Tier Service Partner.
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