AI-driven ATM monitoring and operational intelligence platform. From reactive ticket-handling to proactive observability — with predictive failure analytics that prevent outages before customers notice.
Tier-1 banks told us: ATM monitoring is broken. Tickets created after customer impact. Engineers dispatched blind. Repeat incidents. SLA breaches discovered late.
EdgeSentinel + SentIQ — NOC dashboard, ATM drilldown & predictive analytics walkthrough
See a live walkthrough of the EdgeSentinel NOC dashboard — real-time estate health, per-ATM drilldown, and SentIQ's 72-hour failure predictions.
Lightweight, resilient agents designed to deploy at each ATM — collecting real-time telemetry without impacting ATM operations. Designed for low-bandwidth and high-scale estates.
Secure mutual TLS identity per agent. Store-and-forward for offline ATMs. Policy-controlled remote actions.
Learn MoreCPU, memory, disk, processes, services, event logs, uptime/reboots
Device states, error codes, readiness, retries, timeouts — XFS-aware
Configurable collectors and parsers for ATM app, middleware, custom patterns
Latency/loss checks to endpoints, link stability indicators
Local buffering + guaranteed delivery when link restores (store-and-forward)
Service restart, process restart, cache clear, log upload — all policy-gated
Certificate identity, tamper-resistant configs, signed updates
Sampling controls to prevent data storms from high-frequency events
The central observability engine — ingesting, normalising, and correlating telemetry from every ATM in your estate. Built for NOC command centres and bank operations teams.
RBAC, audit trails, ITSM/SIEM native integrations, SLA dashboards, and vendor scorecards.
Multi-vendor telemetry normalised into a unified event model
Device errors correlated with transaction outcomes and retry patterns
Command centre view: estate health score, out-of-service detection in seconds
Per-ATM incident timeline, XFS status, OS health, one-click remote actions
MTTR by vendor/region, repeat incident rates, evidence packs for disputes
By region/vendor/ATM type/severity with suppression windows
Auto-create/update incidents, attach evidence, lifecycle tracking
NOC, field ops, vendor managers, security, leadership — each with tailored views
The intelligence layer that turns data into action. SentIQ baselines each ATM's normal behaviour by location and load — then detects deviations, predicts failures, and scores SLA risk before breaches occur.
Closed-loop learning from outcomes continuously improves prediction accuracy over time.
Normal behaviour modelled by location, load, and time-of-day
Cross-signal anomalies: device + OS + transaction context
Risk score for next N hours/days — per ATM, per component
Early warning before a breach happens — time to act
"Fix these 50 ATMs first" — AI-ranked by risk and impact
Regional/vendor/component failure pattern discovery
| # | ATM | Risk Score | Predicted Failure | Window | Action |
|---|---|---|---|---|---|
| 1 | ATM-4281 · Chennai | 78% | Cash Dispenser | < 24h | Urgent Dispatch |
| 2 | ATM-1104 · Mumbai | 61% | Card Reader | < 48h | Schedule Today |
| 3 | ATM-0892 · Delhi | 54% | Receipt Printer | < 72h | Schedule This Week |
| 4 | ATM-2341 · Bangalore | 38% | Network Module | 3–5 days | Monitor Closely |
Hover any KPI card to see a live dashboard preview. Scroll or drag to see all 8.
We'll prepare a demo tailored to your ATM platform and estate size. Bring your hardest operational challenge.