What are your key focus areas? *
AI Workflow and Operations
Data Management and Operations
AI Governance
Analytics and Insights
Observability
Security Operations
Risk and Compliance
Procurement and Supply Chain
Private Cloud AI
Vision AI
Platforms / Public Safety Analytics
Real-Time Public Safety Analytics Platform
XenonStack's agentic analytics gives emergency operations and command centres live dashboards and decision support that stay auditable. Analyst agents monitor key metrics, flag anomalies and recommend actions, while every decision is recorded with the context, policy and approver behind it. Leaders get speed in the moment and evidence afterwards.
In brief
- Live dashboards and decision support for emergency operations and command centres.
- Incident analysis that finds patterns and anomalies and gives cited recommendations.
- Every decision recorded with its inputs, policy and approver, with trace data kept in your environment if you choose.
What is a real-time public safety analytics platform?
It is a live analytical layer for the people who run emergency response. Adaptive dashboards evolve with incoming data, and agents continuously monitor measures, detect emerging trends and give contextual recommendations. Because the platform runs on ElixirData, answers draw on governed definitions rather than ad hoc interpretations.
Who is it for?
- Emergency operations directors, command centre managers and heads of emergency response and public safety agencies.
- Duty officers who need a clear recommendation under time pressure.
- Public safety technology and data leaders responsible for legacy system integration, including chief data officers building a shared view across agencies.
- Incident analysts and intelligence officers who spend time assembling reports.
- Oversight teams, review boards and auditors who examine how decisions were made and incidents handled after the event.
How does it work?
1. Bring signals together
Connect existing operational and data platforms such as Snowflake and Databricks, and feed dashboards in tools your teams already use.
2. Monitor continuously
Agents watch the metrics that matter and surface anomalies as they emerge.
3. Support the decision
Recommendations arrive with citations to the data behind them, so an operator can see why.
4. Keep humans in command
Actions are routed through ElixirClaw, where policy is enforced and approvals are tracked.
How does it support incident analysis?
Agentic analytics applies analyst and discovery agents to incident data, live and historical, so agencies can understand incidents as they unfold and learn from them afterwards. Agents find patterns, anomalies and trends, answer questions in plain language with visuals, and recommend next steps.
- Incident, operational and sensor-derived data is connected through the existing data estate.
- Discovery agents find patterns and anomalies, and analyst agents answer questions with citations.
- Decision agents combine predictive modelling with permission-aware search, and actions run under policy with human oversight preserved.
What is governed and audited?
| Capability | Why it matters in a command centre |
|---|---|
| Live adaptive dashboards | One current picture for the whole operations floor |
| Anomaly detection | Earlier visibility of changing conditions |
| Cited recommendations | Operators and analysts can verify the answer and the data behind it before acting |
| Decision records | Inputs, policy applied and approver kept for each decision, including the query and who raised it |
| Lineage | Source and ownership of the data used |
| Human oversight | Autonomy limited to the level you approve |
| Replayable history | Post-incident review without rebuilding the timeline |
For governance across all agents, see AgentGRC.
Where can it be deployed?
Deployment is scoped around your security and residency requirements. Trace data can be stored in your own environment, including VPC, on-premises and sovereign deployments, with retention and redaction rules set by you. The pattern is agreed in the first workshop.
How do you get started?
Begin with the Context Workshop. Choose one command-centre workflow or incident type, map the data and policies that drive it, and define which decisions need an audit trail. Scope is agreed before any build. Compare options in our guide to the best public safety analytics platforms.
Frequently asked questions
Is this a replacement for our dispatch or command systems?
No. It adds analytics and decision support alongside existing systems and data platforms.
How are dashboards and answers kept trustworthy?
They draw on governed context, with business definitions and access rules applied before agents read data. Answers carry citations back to governed source data.
Can decisions be reviewed after an incident?
Yes. Each decision is recorded with its inputs, the policy applied and the approver, and runs can be replayed.
What makes this different from a standard incident dashboard?
Agents interpret data and recommend actions, and the platform records the reasoning behind each one.
Can it run in our own environment?
Trace data can be kept in your environment for VPC, on-premises and sovereign deployments.
What is the first step?
A Context Workshop focused on one workflow or incident type.
Ready to give your command centre auditable insight?
Book a Context Workshop to scope real-time analytics for your operations.
