Turn building data into decisions

Your buildings already speak in data - Nivara helps you decide, not just listen.

Enterprise AI for Facility Management runs privately on your infrastructure, translating BMS/CAFM signals into governed decision support for cost, uptime, and ESG compliance - while you retain final authority.

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Turn building data into decisions

Operating model

Our approach

  • Run Private AI for Real Estate; enforce data sovereignty and tenancy rules.
  • Connect BMS, BEMS, CAFM; maintain a unified view, reduce triage time.
  • Set governance rules; AI surfaces options, operators authorise actions.
Our approach

Core Concept

Facility Management AI operating system

Intelligence layer, not hardware replacement. Turn alarms, work orders, energy, and assets into cross-domain Facility Operations Intelligence. You set priorities; workflow routing cuts downtime and cost.

Alarm & Anomaly Detection

Ingest BMS/BEMS/CAFM streams, normalise tags, and flag anomalies. You choose thresholds; the model reduces false alarms and wasted callouts.

Work Order Routing

Match events to contracts, skills, and SLAs. You approve dispatch rules; routing shortens response time and lowers overtime risk.

Predictive Maintenance

Forecast component failure from vibration, runtime, and history. Engineers decide interventions; prioritisation protects uptime and extends asset lifecycle.

Digital Twin Governance

Maintain a governed digital twin of spaces, assets, and sensors. You validate changes; scenarios reveal capex timing and compliance exposure.

Human expertise stays central

AI surfaces patterns and options with auditability. Operators decide actions, authorise spend, and record rationale. Human judgement contains risk, protects safety, and keeps accountability clear.

Human expertise stays central

Decision domains

Key decision domains

Domain 1

Service delivery and experience

  • Triage alarms into work orders with clear priority and context.
  • Balance space usage against occupancy commitments and cleaning schedules.
  • Track contractor performance versus SLAs; agree corrective actions; provide tenant status updates; reduce escalations.

Domain 2

Asset reliability and lifecycle

  • Rank failure risk by criticality, cost, and downtime impact.
  • Plan shutdown windows using demand forecasts and maintenance dependencies.
  • Justify spares, renewals, targeted interventions to extend asset lifecycle, with evidence and audit trails.

Domain 3

Energy, ESG, and capital

  • Optimise setpoints with comfort constraints; facilities teams approve changes.
  • Quantify ESG compliance gaps and model remediation cost.
  • Compare retrofit scenarios using BEMS data; prioritise capex by risk, payback, governance.

Governed operations

AI supports operations, not chaos

Private AI runs within your security boundary; explainable, versioned models.

You set policies, review recommendations, and keep auditability:

Access & Governance

Apply role-based access, tenant boundaries, approval steps; you decide who can act; reduce data leakage.

Explainability

Show source signals, confidence, and impact estimates; engineers challenge outputs; documented rationale speeds audits.

Workflow Integration

Route tasks to CAFM and mobile apps; supervisors confirm completion; fewer handoffs cut missed jobs.

Sovereign Deployment

Deploy Private AI for Real Estate on-prem or cloud. You control updates; protect data sovereignty.

Operations shift

From reactive to augmented operations

Move from chasing breakdowns to planned interventions. Operational intelligence links service, assets, and energy, so teams spend less time triaging and more time preventing risk.

01

Alarm floods to prioritised queues

Cluster related events, suppress duplicates, and present recommended actions. Operators accept or defer; reduced noise protects response time and avoids unnecessary callouts.

02

Siloed systems to unified foresight

Join CAFM history, BMS telemetry, and contractor notes into one view. Managers decide trade-offs; better context shortens investigations and reduces repeat faults.

03

Periodic checks to risk-based plans

Use AI-Driven Predictive Maintenance to schedule work by risk. Engineers approve plans; fewer unplanned outages lower penalty exposure and protect tenant confidence.

Sovereign AI for facilities

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