Analyzr℠
Real-time Data Analysis
Real-time Data Analysis
For All Your Plant Telemetry
Ingest data from every edge device and protocol—MQTT, CoAP and more—and give plant managers a live, unified view of what’s happening on the floor.
Problem Statement
Your equipment is talking—but the data is scattered:
Sensors, PLCs, gateways, vision systems, and edge devices all speak different protocols and send data to different places.
Operations teams struggle with multiple dashboards (SCADA here, vendor portal there, spreadsheets everywhere).
Plant managers don’t have a single, live source of truth for line status, quality, throughput, energy, or machine health.
IT is wary of yet another cloud system; OT needs something that works reliably on-prem and at the edge.
Klyff Analyzer closes this gap. It’s your unified telemetry layer: ingesting data from all devices, normalizing it, and presenting real‑time, actionable dashboards for plant managers and supervisors.
Klyff Inspeqtr Delivers
For operations and maintenance teams:
Single pane of glass: One dashboard for lines, cells, and utilities across your plant (and across plants if needed).
Live telemetry: Second‑by‑second values for key tags—temperature, vibration, pressure, speed, OEE, FPY, alarms.
Historical analysis: Drill down into hours, days, or months of history to understand trends and root causes.
Smart alerts: Thresholds, anomalies, and rule‑based alarms routed to the right people on the right channels (email, SMS, chat, Andon).
For IT and engineering:
Flexible ingestion: Protocol support for MQTT, CoAP, HTTP and industrial connectors via gateways (Modbus, OPC‑UA, etc.).
Scalable storage: Time‑series database designed for high‑frequency telemetry from thousands of devices.
Secure by design: Authenticated devices, encrypted transport, and strict tenant/role-based access.
APIs for everything: Northbound APIs to feed analytics, MES/ERP, data lakes, or custom apps
How Klyff Analyzr Works
Connect Your Devices & Gateways
- Connect edge devices directly via MQTT, CoAP, HTTP or through existing IoT/industrial gateways.
- Map device payloads (JSON, binary, custom formats) to normalized telemetry streams—tags, attributes, events.
- Group devices into lines, cells, and assets to match your plant layout.
Collect, Normalize, and Store Telemetry
- Ingest high‑frequency telemetry into a fault‑tolerant time‑series store designed for industrial data.
- Enrich data with metadata (line, product, shift, order, operator) for meaningful slicing.
- Handle network interruptions gracefully with buffering and back‑pressure—no data lost.
Visualize in Real‑Time Dashboards
- Build dashboards with configurable widgets: trend charts, gauges, KPIs, maps, tables, alarm views.
- Show latest values (e.g., current speed, temperature, OEE) and live trends side‑by‑side.
- Create separate views for plant managers, shift supervisors, maintenance, and quality—each seeing what matters most.
Analyze, Alert, and Act
- Configure rules: thresholds (high/low), rate‑of‑change, combinations of tags, or learned anomalies.
- Trigger alerts, create maintenance tickets, or call into external systems via webhooks and APIs
- Use historical dashboards for “what happened?” and “why did it happen?” analysis after events.
Why Klyff Senatr for federated learning
Manufacturing‑first design: Built for lines, cells, OEE, FPY, alarms, and downtime—not generic IoT demos.
Tight integration with Klyff AI: Analyzer is the “eyes and ears” for Klyff’s Quality, PdM, and Federated Learning engines, not a disconnected dashboard.
Edge + on‑prem friendly: Designed to run close to your equipment, respecting data residency and latency constraints.
Protocol flexibility: Supports modern IoT protocols (MQTT, CoAP, HTTP) and, via gateways, industrial protocols (Modbus, OPC‑UA, etc.).
Extensible: Use our widgets out‑of‑the‑box or plug Analyzer data into your own reporting and BI tools.
Examples
Quality & Production Dashboard
Per‑line OEE, throughput, FPY, and scrap rate
Live defect counts from Klyff Quality Inspection
Heatmaps by product, SKU, or shift
Drill‑down from plant → line → station → device
Maintenance & Reliability Dashboard
Asset health scores (based on PdM models)
Current alarms and predicted failures (with time‑to‑failure estimates)
MTBF/MTTR trends by asset class
Work order status integrated from CMMS
Energy & Utility Dashboard
Real‑time power consumption per line, area, and plant
Compressed air, steam, water usage vs. production volume
Alarms for abnormal consumption patterns
Where Analyzr Excels
Multi‑Line, Multi‑Vendor Environments
- Mix of PLC brands, smart sensors, gateways, and edge boxes.
- Existing SCADA for control, but limited or fragmented analytics & visualization.
- Analyzer sits above these, aggregating and normalizing data into one consistent view.
High‑Speed, Data‑Rich Processes
- Lines where hundreds or thousands of tags update every second.
- Need to see immediate impact of parameter changes on quality, throughput, or energy consumption.
- Analyzer provides live feedback, enabling data‑driven set‑point changes during the shift—not weeks later.
Fleet & Multi‑Site Views
- Roll‑up dashboards for regional or global operations teams.
- Compare plants on OEE, FPY, downtime, alarm rate, and energy per unit.
- Feed Klyff’s Predictive Maintenance, Quality Inspection, and Federated Learning modules from a clean, consistent telemetry layer.
FAQs
How is Analyzr different from SCADA or our existing IoT dashboards?
SCADA is excellent for real‑time control and interlocks; most vendor‑specific dashboards are siloed to one system. Analyzer focuses on cross‑system visibility and analytics—aggregating data from many devices and protocols into one place, then feeding it into Klyff’s AI engines and your business systems.
Which protocols do you support?
We support MQTT, CoAP, HTTP out of the box, and can integrate with Modbus, OPC‑UA, and other industrial protocols via gateways or existing middleware.
Can we keep all data on‑prem?
Yes. Analyzr can run on‑prem or in your own cloud/VPC. All telemetry, dashboards, and integrations can remain inside your network boundary.
How does this work with our existing gateways or IoT platform?
We can connect to external brokers and platforms (e.g., MQTT brokers, existing IoT hubs) and consume their streams into Analyzer, so you don’t have to rip‑and‑replace.
Selected Customer Success Stories
Adaptive Predictive Maintenance
Solder Joint Inspection
PPE Compliance in Chemical Plant
Our Insights to keep you ahead
Federated Learning in the Era of Smart Manufacturing
A Comprehensive Guide to Edge AI in Manufacturing
