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InfluxData and Litmus Partner for Scalable Industrial AI at the Edge


InfluxData and Litmus Partner for Scalable Industrial AI at the Edge
  • by: Business Wire
  • |
  • April 20, 2026

InfluxData and Litmus integrate InfluxDB 3 Enterprise with Litmus Edge to deliver high-performance time series data processing, context-rich analytics, and seamless edge-to-cloud transfer for industrial AI applications.

Quick Intel

  • InfluxData and Litmus announce strategic partnership to integrate InfluxDB 3 Enterprise with Litmus Edge for industrial organizations.
  • The integration provides high-performance ingestion, real-time analysis, cost-efficient storage, and seamless edge-to-cloud data flow for high-resolution time series data.
  • Solution overcomes limitations of traditional historians by enabling full-resolution data capture, context across assets, and instant action at the edge.
  • Key capabilities include massive-scale ingestion in milliseconds, elimination of data silos, context-rich modeling, 250+ native OT connectors, and efficient long-term storage.
  • Supports predictive maintenance, anomaly detection, and real-time Industrial AI where low latency is critical.
  • Integration is available now for Litmus Edge deployments with cloud support via Amazon Timestream for InfluxDB.

InfluxData, the creator of the leading time series database InfluxDB, has partnered with Litmus, a prominent Industrial Edge Data Platform provider, to deliver a scalable foundation for industrial intelligence at the edge. The integration of InfluxDB 3 Enterprise with Litmus Edge addresses the growing challenges of handling high-resolution time series data generated by modern industrial systems.

Addressing Challenges in Industrial Data Management

Industrial systems produce data at increasing speed and resolution, yet traditional historians often struggle to scale, maintain context, and balance data fidelity with retention and cost. Fragmented systems further create data silos that restrict cross-site and cross-operation analysis. The new partnership tackles these issues by creating a unified architecture spanning edge, on-premise, and cloud environments.

Unified Architecture for Edge-to-Cloud Operations

Litmus Edge delivers native connectivity and data normalization across industrial systems with over 250 prebuilt connectors for PLCs, robotic systems, and legacy equipment. InfluxDB 3 Enterprise complements this by offering high-performance ingestion, real-time analysis, and cost-efficient storage of high-frequency time series data directly at the edge. The combined solution enables organizations to capture every measurement at full resolution, apply rich context across assets and systems, and act on insights instantly.

“Industrial systems operate in the physical world, where timing is critical and performance degradation has real consequences. Most systems weren’t designed to handle high-resolution data or act on it in place. Integrating InfluxDB 3 Enterprise with Litmus Edge removes those constraints so teams can operate directly on data at the source in real-time, with the precision required to power physical AI.”

“Our customers are moving beyond simple dashboards to high-frequency Industrial AI. By integrating InfluxDB 3 Enterprise with Litmus Edge, we are providing the ultra-high resolution data foundation required to power AI agents at the edge. This allows industrial enterprises to not only detect issues in real-time but to deploy autonomous systems that optimize performance and manage complex operations without latency.”

Key Capabilities for Industrial AI

The integration establishes a hub-and-spoke model that bridges operational technology (OT) and IT systems. It supports massive-scale data ingestion and analysis in milliseconds, eliminates data silos for fleet-wide visibility, and provides context-rich data modeling across millions of signals. Native industrial connectivity ensures reliable data flow even in constrained environments, while advanced compression and object storage enable significantly longer data retention than traditional historians.

This modern architecture extends beyond conventional industrial historian workloads, supporting predictive maintenance, anomaly detection, and real-time Industrial AI applications where milliseconds impact performance and uptime.

InfluxDB 3 Enterprise is available immediately for Litmus Edge deployments, with cloud-based options supported through Amazon Timestream for InfluxDB.

About InfluxData

InfluxData is the creator of InfluxDB, the leading time series database used by millions of developers building real-time systems. InfluxDB captures and analyzes massive streams of high-resolution data, giving AI models the context for predictive maintenance and anomaly detection so systems can detect, alert, and adapt as conditions change. Built for high performance at any scale and in any environment, InfluxDB delivers the speed and flexibility developers need to manage today’s most demanding workloads. InfluxData is a remote-first company with a globally distributed team.

About Litmus

Litmus is the leading Industrial Edge Data Platform that helps the world’s largest manufacturers connect, contextualize, and govern OT data to make it AI-ready. Recognized by Gartner as a Challenger in the Magic Quadrant for Global Industrial IoT Platforms, Litmus powers real-time data pipelines from edge to cloud with 250+ out-of-the-box connectors—accelerating digital transformation and enabling Industrial AI at scale. Trusted by global leaders including Saint-Gobain, Jaguar Land Rover, Bunge, and Parker Hannifin, and partnered with Microsoft, Google Cloud, AWS, Databricks, Oracle Cloud, and Dell Technologies, Litmus delivers enterprise-grade solutions that unlock the full value of industrial data.

  • Industrial AIEdge ComputingTime Series Data
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