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The latest from Jicate
News, announcements, and updates from across the company.
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Foundry Streaming
Use real-time data to drive real-time decisions — with the full context of your organization.
Capture, understand, and act on thousands of transient, ephemeral events in near real-time.
Power responsive operations with object-aware alerting, analytics, and action-centered applications.
Automate state monitoring.
Automatically generate and elevate alerts to skilled human operators or algorithms for analysis and action in near real-time.
Data in context, always.
Bind streaming data to your ontology's objects — such as a manufacturing robot, wind turbine, or hospital bed. The Ontology fully contextualizes low-latency data alongside other relevant batch data (e.g., ERP and MES systems), and enriches it with AI/ML models.
Power closed-loop action.
Deliver object-aware workflows that let operators take real-time action based on alerts and associated context, with writeback to systems of action.
Real-Time Ontology
Out-of-the-box connectors make it easy to connect with all systems that generate relevant data and models — including Kafka, Google Pub/Sub, OSI PI, Kinesis, and more.
Transform Streaming Data with Pipeline Builder
Transform and process streaming data at scale. Pipeline Builder combines the ease of low-code with rigorous change management and health monitoring. Filter, join, and aggregate data streams, and land the outputs directly in your ontology.
Conduct Flink-Based Transforms
Create custom, user-defined transformations atop open standards using a full code-based stream-processing workbench.
Hydrate the Ontology with AI/ML Models
Integrate your models with a suite of interoperable connectors, making them easily consumable by other users, pipelines, and operational applications.
Built for Real-Time Decisions
360-Degree Real-Time Visibility of Plant Floor Activity
Achieve real-time visibility into your global facilities, including across diverse systems such as ERP and other operational systems.
Low-Latency Alerting on Cost-Savings Operations
Configure real-time alerting workflows to identify patterns leading to poor asset performance or manufacturing process bottlenecks.
Predictive Maintenance to Reduce Machine Downtime
Enable operators to proactively schedule necessary repairs and avoid unplanned downtime.
Real-Time Root-Cause Production Issues
Conduct complex analysis of plant-floor processes to identify patterns, anomalies, and pathways for improvement.
Edge AI
Enable on-hardware AI to consume real-time sensor, radio, acoustic, geo-registration, and time-series data for autonomous decision-making at the edge.
Flight Swaps & Routing
Inform decisions around the right flight to cancel, the right aircraft to swap, or how to best allocate decisions given fixed constraints.
Fraud Detection
Quickly triage fraud alerts with a holistic understanding across transaction, relationship, counter-party, KYC, and sanctions risk.
Foundry Streaming in Action
Powering the Global Energy Transition at Sonnedix
Sonnedix uses the Ontology to digitally represent its real-world assets in real-time and more fully understand production patterns. With remote monitoring of solar fields, asset managers can immediately detect and respond to solar trackers in need of maintenance.
“Being able to join all our data streams via the Ontology lets us model complex scenarios that were previously inaccessible to us.”
Improving Elder Care at SOMPO
The Ontology empowers SOMPO to understand residents' health holistically and to move from reactivity to proactivity with tailored sensor alerts that measure critical vital signs like sleep, breathing, and pulse rate. Reviewing care plans that once took 30–60 minutes now happens at a glance.
“We had invested in various operational systems and sensor technologies, but the data was siloed and not fully utilized. That's when we came across the platform.”