HighByte Intelligence Hub v4.4
Industrial DataOps platform for modeling, orchestrating, and governing operational data at the edge — code-free, scalable, and enterprise-ready.
Connect, Model, and Orchestrate Your Industrial Data
HighByte Intelligence Hub is the leading Industrial DataOps solution that connects, models, conditions, and orchestrates OT data without code. Deploy at the edge to transform raw industrial data into contextualized, analytics-ready information for AI/ML, cloud platforms, and enterprise systems.
What is HighByte Intelligence Hub?
A no-code Industrial DataOps platform that sits between your OT systems and cloud/analytics destinations, transforming raw data into governed, contextualized information.
Months → Hours
Integration time reduced
AI/ML Ready
Contextualized data
Governed
Audit & compliance
Edge to Cloud
Seamless scaling
Version 4.4 — What's New
The latest release introduces AI-powered pipeline creation, federated data planes, native Databricks streaming, and industrial MCP services.
Central Data
Federated data plane across systems and networks. The central hub can see the namespace of remote hubs and build pipelines that draw from remote data sources — enabling enterprise-wide data orchestration without data movement.
Pipeline AI Agent
In-app AI agent connected to your LLM of choice. Conversationally summarize, create, and edit pipeline configurations using natural language — "Explain what this Pipeline does" or "Create a data flow that subscribes to boiler topic...".
Databricks Zerobus
Native streaming ingestion directly into Databricks Delta tables — reducing dependency on intermediate streaming services for this specific data path. Low-latency, automatic table creation, and schema evolution.
i3X API (Alpha)
CESMII's Industrial Information Interoperability eXchange (i3X) standard. Enables standardized, vendor-neutral data exchange across industrial ecosystems. Note: The i3X specification is still in development — this alpha implementation is not recommended for production use.
Internal Subscriptions
Subscribe to changes across complex objects — Instances, Namespaces, and OPC UA Branches. Build event-driven pipelines that react to structural changes in your data model.
MCP Services
Industrial MCP Server exposes data pipelines as "tools" for AI agents. MCP Client connects to third-party MCP servers. Bridge your industrial data with the AI agent ecosystem.
Core Capabilities
Everything you need to connect, model, condition, and orchestrate industrial data — all without writing code.
Connections
Native connectivity to virtually any industrial data source.
- OPC UA, MQTT, Sparkplug
- SQL (SQL Server, Oracle, PostgreSQL)
- REST APIs, Ignition Module
- PI System, Databricks, Snowflake
- AWS, Azure, Google Cloud
Data Conditioning
Transform raw data into clean, actionable information.
- Deadband filtering
- Aggregation (avg, min, max, count, delta)
- JavaScript expression engine
- Data type conversion & validation
Data Modeling
Visual, template-based modeling that creates a single source of truth.
- Visual attribute tree with nesting
- Reusable model templates
- Templatized inputs
- Model validation stage
Pipelines
Graphical pipeline builder with intelligent stages.
- Smart Query stage
- On Change, Switch, For Each/While stages
- Subpipeline & Model Validation stages
- Store-and-forward reliability
- Pipeline Debug tool
Namespaces
Visual organization of datasets, federated across hubs.
- Visual hierarchy browser
- Federated across multiple hubs
- Drives MQTT topic namespace
- Role-based access per namespace
Unified Namespace (UNS)
Embedded MQTT broker with full Sparkplug support.
- MQTT v3.1.1 and v5 support
- Sparkplug A and B namespace
- UNS Client for topic discovery
- Internal subscriptions
REST Data Server
Built-in API gateway for industrial data access.
- CRUD operations via REST
- Role-based API access control
- Real-time and historical data
- Swagger/OpenAPI documentation
MCP Services
Bridge industrial data with AI agent ecosystems.
- Industrial MCP Server
- Pipelines as AI agent "tools"
- MCP Client for third-party servers
- Conversational data access
Edge Deployment
Flexible deployment from embedded to server-grade hardware.
- Docker container deployment
- Native Windows/Linux install
- High availability clustering
- From embedded to data center
Architecture & Data Flow
See how HighByte Intelligence Hub fits into your industrial data architecture — from sensors to AI.
End-to-End Data Pipeline
HighByte Intelligence Hub sits at the edge between your OT infrastructure and IT/cloud systems. It ingests raw data from PLCs, sensors, and SCADA systems via OPC UA, MQTT, and other protocols. The platform then models this data into meaningful hierarchies, applies conditioning rules (deadband, aggregation, transformation), and orchestrates delivery to destinations like MQTT brokers, cloud platforms (AWS, Azure, GCP), data lakes (Databricks, Snowflake), and enterprise applications.
Central Data Federation
With v4.4's Central Data feature, multiple Intelligence Hub instances can be federated into a unified data plane. A central hub can discover the namespace of remote hubs and build pipelines that pull data across sites — enabling enterprise-wide analytics without centralizing raw data.
Technical Specifications
Deployment
- Docker container
- Windows native installer
- Linux (RHEL, Ubuntu, Debian)
- High availability clustering
Protocols
- OPC UA (Client & Server)
- MQTT v3.1.1, v5
- Sparkplug A, B
- REST/HTTP, SQL, JDBC
- Modbus TCP via OPC UA gateway
Security
- TLS 1.2/1.3 encryption
- Role-based access control
- Audit logging
- Active Directory / LDAP
- X.509 certificate support
Hardware
- From embedded (2GB RAM)
- To server-grade (64GB+ RAM)
- x86-64 and ARM architectures
- Industrial panel PCs supported
Use Cases
Real-world applications powered by HighByte Intelligence Hub.
Electronic Batch Reporting
Automate batch record creation by pulling data from MES, PLCs, and quality systems into standardized reports — reducing manual effort from hours to minutes.
First-Pass Yield Optimization
Correlate process parameters with quality outcomes in real-time. Identify root causes of yield loss and enable predictive adjustments before defects occur.
Predictive Asset Maintenance
Stream vibration, temperature, and operational data to cloud ML models. Detect anomalies early and schedule maintenance before unplanned downtime occurs.
OEM Cloud Services
Equipment manufacturers embed HighByte to securely collect data from deployed machines, enabling remote monitoring, digital twins, and value-added cloud services.
Why HighByte?
Reduce Integration Time
Cut system integration time from months to hours with code-free configuration and reusable templates.
AI/ML Ready Data
Improve data curation and preparation for AI/ML workloads with contextualized, time-aligned datasets.
Enterprise-Wide Metrics
Scale operations metrics consistently across single sites to multi-site enterprises with federated data planes.
Faster Business Insights
Reduce information wait time for business functions by automating data delivery to BI and analytics platforms.
Eliminate Broken Integrations
Stop troubleshooting fragile point-to-point integrations. One governed platform replaces dozens of custom scripts.
Cloud Insights for Operators
Empower OT operators with cloud-based dashboards and mobile access while maintaining edge security boundaries.
Improved Security
Enforce data governance policies, audit trails, and role-based access across all data flows and users.
Regulatory Compliance
Meet traceability requirements for FDA 21 CFR Part 11, GMP, and other regulated industries with full audit logging.
Lower Cloud Costs
Reduce cloud ingest, processing, and storage costs by sending only valuable, conditioned data — not raw noise.
Ready to Transform Your Industrial Data?
Contact ASP Dijital for a personalized demo and discover how HighByte Intelligence Hub can accelerate your digital transformation journey.
Get in Touch