HighByte Intelligence Hub
HighByte · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
HighByte Intelligence Hub is the edge-native DataOps solution built for industrial data. The Intelligence Hub enables manufacturers to securely collect, merge, model, and stream ready-to-consume datasets to AWS services without writing or maintaining code.
Run the application at the Edge to bridge the gap between IT and Operational Technology (OT) teams and systems. Securely connect devices, files, databases, and systems via open standards and native connections. Tap into real-time and asset model data from a wide variety of edge data sources, including sensors, machines, legacy equipment, OPC servers, transactional systems, and historians. Use the interface to normalize, standardize, and contextualize data points and data sets. Model and transform this data while in motion so it is ready to use in target applications, including AI agents.
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Edge-to-Cloud:
Deploy HighByte Intelligence Hub inside the factory and push rich data models to AWS in minutes. The Intelligence Hub connects to data sources using common factory protocols like OPC UA, SQL, MQTT, Sparkplug, REST, and CSV. Easily map these data sources to rich data models using a simple drag-and-drop interface and then send these models to multiple AWS endpoints, including AWS IoT Core, IoT SiteWise, IoT Greengrass, Amazon Kinesis, Amazon S3, Amazon S3 Tables, and more.
Cloud-to-Edge:
HighByte Intelligence Hub can also move data in AWS back to the factory floor, enabling customers to deliver alerts from machine learning, data from third-party sensors, and more. Connect the Intelligence Hub to AWS IoT Core or IoT Greengrass and subscribe to a data topic. This will allow the Intelligence Hub to pull data back to the factory, model it, and send it to HMIs, historians, and other industrial systems using protocols like OPC UA and Sparkplug.
Return on Investment:
- Performance. Drive manufacturing performance, quality, productivity, and waste reduction with curated, modeled data for advanced analytics and AI agents.
- Time. Reduce time to deploy and maintain system integrations and accelerate data preparation for analytics and other business systems.
- Scalability. Build a data infrastructure designed for multi-site scalability and govern data standards across the enterprise.
- Security. Improve system-wide security and produce audit logs for system integrity and regulatory traceability.
Highlights
Highlighted by the publisher on AWS Marketplace.
Data Modeling. Use HighByte Intelligence Hub to build asset models in the editor or import external model definitions. These models can be deployed directly to AWS IoT SiteWise along with the streaming data. Calculate and visualize metrics from telemetry data using AWS IoT SiteWise Monitor.
Data Orchestration. Use Pipelines to orchestrate asset models to multiple output connectors, each with different frequencies. Connect bi-directionally to AWS IoT Core and AWS IoT Greengrass through the MQTT connection to consume data from the Cloud and publish modeled information back to on-premises systems. For large datasets, publish to warm-tier storage in Amazon S3 via natively supported buffered ingestion to optimize efficiency and cost of AWS IoT SiteWise.
Agentic AI. Use the embedded MCP Server within the Intelligence Hub to build MCP Services around your industrial assets, tailored to your agents. MCP is not "hardcoded." This improves AI agent reliability by narrowing the scope of what the agent needs to understand and improves security by only giving agents access to the data they need. Curating data for Agentic AI platforms just got a lot easier.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
Refunds will be granted only as required by law. For additional details on subscription terms and cancellation policies, please refer to the End User License Agreement (EULA).
Sources
Publisher resources
5 linksLinked repositories
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