02 Process
Industrial data infrastructure that runs the moment you install it
An enterprise IIoT/DataOps platform that delivers the full data lifecycle — ingestion, messaging, storage, processing, analytics, and visualization — in a single installable package. With an ontology knowledge graph, a Unified Namespace, 100+ no-code Flow nodes, and complex event processing (CEP), 24+ pre-integrated microservices across 7 layers replace the patchwork of SCADA, historians, gateways, and databases with one platform.
40,000/s
Message ingestion throughput
A Capabilities · In depth
A single server node ingests 40,000 sensor messages per second, and the in-memory complex event processing (CEP) engine evaluates 500,000 events per second in real time. EQL (Event Query Language) time windows judge rules, patterns, and advanced alarms instantly, rolling up aggregates, snapshots, and predictions.
Built on the same class of distributed event and time-series database used by global hyperscalers, tuned for industrial data. A token-ring architecture automatically distributes data across nodes, so capacity scales linearly just by adding nodes — and replication means no data is lost when a node fails. Billions of time-series points and events, plus BLOB objects like drawings and images, live in a single cluster, with ring topology, node load, and storage distribution monitored live from the console.
Beyond simple asset classification, turn the whole plant into an RDF knowledge graph. On top of the ISA-95 hierarchy, link feeds/depends-on/produces relationships and command, document, and alarm-config registries as triples — so complex questions like "setpoint tags missing alarm config" or "the downstream impact of a failed asset" are answered instantly with SPARQL and a relation-graph API. Built-in AI performs natural-language diagnosis grounded in this ontology.
The ISA-95 tree (site→area→line→equipment→tag) itself becomes a single namespace for live data. Every node maps automatically to three industrial-standard topics — MQTT, a messaging broker, and Sparkplug B — and data, alarms, events, aggregations, commands, plus connection and health status are mirrored in real time. Preview topic paths in the console and paste them straight into external systems or flows.
A visual automation engine that designs industrial data pipelines by dragging and connecting 100+ nodes. Trigger on tags, alarms, asset events, OEE, or edge status, then filter, script, aggregate, and retry — issuing work orders, sending email/SMS/push alerts, integrating with external MES/ERP, and controlling the edge, all on one canvas. Deploy, roll back, version automatically, and live-debug so operators build and safely ship automation themselves.
B Architecture
Seven layers from ingestion to console come pre-integrated as one package, booting the entire pipeline within 3–5 minutes. Ontology, UNS, Flow, and CEP all operate on one data foundation.
C Use Cases
Outcome
Many products → one platform · simplified operations
Outcome
Real-time unified visibility of distributed assets
Outcome
Early anomaly detection · automated response
E More Capabilities
Standardize relationships among equipment, tags, and documents with an RDF graph and SPARQL, and analyze impact propagation.
Mirror the asset hierarchy in real time across a unified MQTT · broker · Sparkplug B namespace.
Compose data pipelines, automation, and external integrations with 100+ nodes — no code.
An in-memory CEP engine evaluates rules, patterns, and advanced alarms with EQL time windows in real time.
Place real-time widgets on diagrams, full-screen floor displays, and band/CEP advanced alarms.
A gateway for external BI/ERP to query time-series safely, plus 150+ V5 REST APIs.
Compute OEE, RAM (MTBF/MTTR), and EMS (energy/CO₂), with a 10-year diagnostic engine detecting faults automatically.
International-standard asset hierarchy, work-order/production management, and multi-site HA with infinite scale-out.
Put the logical model and the physical equipment tree side by side and map them. An asset timeline tracks configuration changes.
Monitor equipment as a card grid filtered by area and line, with five status lights to identify run, stop, and fault at a glance.
Manage production master data — customers, products, staff, shift schedules, and work orders — inside the platform.
Survey all alarms with timelines, statistics, and rankings, then narrow the cause quickly with asset-tree-based advanced search.
Stream tags to real-time charts, and query accumulated history by period and condition on the trend screen.
A yearly availability heatmap, KPI and latency trends, six-panel infrastructure health, and a connection heatmap — the platform measures itself.
F Technical Specifications
G Product Screens
D FAQ
It goes beyond a hierarchy to an RDF knowledge graph that also expresses feeds/depends-on/produces relationships. You query complex conditions with SPARQL, explore the downstream impact of a failure with the relation-graph API, and the AI performs natural-language diagnosis grounded in it.
Yes. We provide a UNS that auto-maps the ISA-95 asset hierarchy to three standard topics — MQTT, a messaging broker, and Sparkplug B. Data, alarms, and status are mirrored in real time, and you can preview topic paths in the console and connect them straight to external systems.
The no-code Flow engine lets you drag and drop 100+ nodes to compose triggers, filters, transforms, actions, and integrations — issuing work orders, alerts, MES/ERP integration, and edge control without code, operated safely with versioning and rollback.
A single server node ingests 40,000 messages per second, and adding cluster nodes scales it out without limit. Multi-site HA runs large multi-site environments on one platform.
Over 150 V5 REST APIs, real-time push APIs, and a data gateway that lets external BI/ERP query time-series safely (no direct DB access, with permissions and audit).
A 30-minute demo walks you from ingest to AI. Check the fit for your plant with an expert, right away.
