Turn machine data into OEE, alarms, incident workflows, and reports your team actually uses.
"How do I turn all of this into OEE, alarms, incidents, and reports the team actually uses?"
The analytics layer where collected signals become operational decisions.
EREMOS V2 — Industrial intelligence for operations teams
Multi-tenant analytics platform that turns collected signals into operational decisions. Models the real industrial hierarchy — PLANT → AREA → LINE → EQUIPMENT → SUB_EQUIPMENT — with first-class Devices, Tags, and quality codes. Computes OEE via Segments (RUNNING / PLANNED_STOP / UNPLANNED_STOP / IDLE / SETUP) on edge-collected signals — against your OEE definition, not a vendor preset. Persistent alarms with incident workflows, configurable alerting on the channels your operations team already uses. Per-tenant isolation by design. Dashboards split automatically by device class — mixed fleets render cleanly.
MULTI-TENANT SAAS · PLANT→…→SUB_EQUIPMENT HIERARCHY · OEE SEGMENTS · PER-TENANT ISOLATIONOperational Intelligence consolidates the reporting / alarm / dashboarding tools that plants typically run separately — into one analytics platform on one canonical data layer.
- The stitched-spreadsheet OEE process (operator → supervisor → manager → corporate, each adding their own re-calculation)
- A separate alarm-management system bolted onto the SCADA
- A separate incident-workflow tool (or worse, a shared inbox + email threads)
- A separate reporting tool generating shift reports that don't reconcile with the OEE dashboards
- Per-site SCADA-based dashboards that don't compose across plants
- The manual effort to keep tool-life records when the tool-life sensors are already publishing data
- Multi-vendor dashboard sprawl when every CNC / PLC / DAQ vendor ships its own visualization layer
Shift reports · OEE summaries · Downtime breakdowns · Tool-life trends · Incident histories · Per-cell utilization · Cross-site benchmarking views · Audit-ready configuration history
Same definitions across every plant. Same math across every shift. Same source-of-truth across every dashboard.
Buyers
- Plant manager / Ops VP — defensible OEE, less manual reporting, audit-ready data
- CTO / CIO — vendor consolidation, multi-tenant architecture, OT/IT integration
- Quality / compliance manager — audit-defensible OEE, per-tag quality codes, hash-chained configuration history
- Multi-site operations leadership — fleet-level dashboards, per-site identity, cross-plant benchmarking
Industries
- Manufacturing — discrete (CNC, machining, automotive parts) → OEE / alarms / shift reports
- Manufacturing — process (flow / temperature / pressure analytics)
- Oil & Gas (operational dashboards for surface and downhole equipment)
- Power & Energy (substation operational visibility; generation OEE)
- Water & Utilities (pump-station operational dashboards; flow / pressure analytics)
- OEM machine monitoring (installed-base operational visibility for service organizations)
Deployment footprint
- Operating across India and the Middle East
- Multi-tenant by design — one deployment serves many sites or business units without data leakage
- On-prem / private-cloud / Elpis-managed deployment options
- Dashboards split automatically by device class — mixed fleets render cleanly without per-vendor visualization work
Operational Intelligence is the analytics layer of the Industrial Intelligence Stack — where signals become decisions.
Pillar 5 receives signals from all four other pillars: Connectivity & Edge (controller-collected signals), Data Acquisition (direct sensor signals from mDAQ), Asset Intelligence (utilization + location + OEE inputs from mTracker), and Condition Monitoring (vibration alarms from VAS; oil-health data from E-IDOS — streaming integration on the near-term roadmap). EREMOS V2 turns those signals into auditable OEE, persistent alarm records, incident workflows, and shift / OEE / downtime / tool-life reports.
Multi-tenant by design. Tenant data never blends.
EREMOS V2 is multi-tenant by design. One deployment serves many sites, business units, or customers — and tenant data never blends. For multi-plant operators, that means each plant's data stays isolated within the tenant boundary you define. For OEM machine builders running EREMOS V2 to monitor their installed base, that means each customer's machine data stays isolated from every other customer's machine data. Per-tenant isolation is the foundation of the analytics layer's trust posture.
Read the full operational trust posture → /security
Operational Intelligence powers every solution in the Elpis stack. Two representative outcome stories:
Looking for the same thing from another angle?
Bring us your OEE definition. We'll scope the deployment.
Whether you're trying to defend OEE numbers across mixed-vendor cells, consolidate per-site dashboards into one fleet view, or replace the spreadsheet operations that everyone agrees aren't working — the first conversation is about your specific OEE definition and your specific reporting cadence. Bring us those, and we'll scope what EREMOS V2 delivers on top of your existing operational data.