HighByte, an industrial software company, is releasing HighByte Intelligence Hub version 4.2, introducing an embedded Industrial Model Context Protocol (MCP) Server that powers Agentic AI and new LLM-assisted data contextualization via native connections to Amazon Bedrock, Azure OpenAI, Google Gemini, OpenAI, and local LLMs.
HighByte Intelligence Hub provides an Industrial MCP Server to expose data pipelines as “tools” to AI agents, including descriptions and parameters. With the Intelligence Hub, AI agents can securely access all connected industrial systems and make real time or historical data requests on them, the company said.
“The Intelligence Hub is an Industrial DataOps solution that contextualizes and standardizes industrial data from diverse sources for diverse targets. Agentic AI clients on the factory floor are a natural extension of this approach. We’re enabling DataOps to feed AI, and AI to assist and scale DataOps,” said John Harrington, chief product officer at HighByte.
The latest release also introduces Git integration and OpenTelemetry (OTel) support to scale and manage deployments using DevOps tooling for version control and observability.
Users will also have access to new Databricks and TimescaleDB connectors and enhanced connectivity with Apache Kafka and Amazon S3 for cloud-to-edge use cases.
Furthermore, the Oracle Database connection has been enhanced to support Change Data Capture (CDC), the Snowflake SQL connection now supports write operations, and the AVEVA PI System connection supports enhanced PI point metadata reads. These capabilities optimize bi-directional connectivity for the many disparate data services found in the cloud, data center, and factory floor, according to the company.
HighByte Intelligence Hub version 4.2 is available now. All new features and capabilities introduced in version 4.2 are included in standard pricing.
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