Operational AI Is Hard…
We Make It Easy

The time and cost spent on AI and machine learning is immense, but for many companies there’s been no tangible ROI.

The Splice Machine Livewire Operational AI platform is a combined data and AI platform that enables industrial companies to widely deploy predictive applications and keep them live and improving.

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Livewire Machine Learning Solutions

Livewire is designed to alert plant operators in real-time of likely outages or performance degradation soon enough for them to take remedial action to avoid outages and improve performance.

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Live Predictive
Maintenance

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Live Load
Distribution

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Live Mechanical
Failure

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Live Sensor
Failure

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Live Leak
Detection

A Powerful AI Platform

Livewire brings together the three critical components needed in a comprehensive AI solution for industrial IoT in a single, open source offering.

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Connectivity
and Ingestion

Tools and APIs to integrate and ingest data from DCSs, SCADAs, historians, ERP systems, MES systems and any data source.

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Prediction
Platform

An end-to-end Machine Learning platform for developing, experimenting, and deploying machine learning models.

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Observability
Platform

Rich dashboards and alerting tools to surface operational and environmental data with machine learning predictions.

Built for Industry

Oil and Gas

Petrochemical

Renewables

Transportation and Logistics

Telecommunications

Utilities

Aerospace and Defense

Why Splice Machine Livewire

Livewire’s powerful underlying platform not only delivers predictive, actionable intelligence but also brings speed, savings and simplicity in complex industrial IT and IoT environments.

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Learn More about Livewire

White Paper

Livewire Platform White Paper

Learn how Splice Machine's Livewire platform delivers real-time intelligence oil and gas, utilities, petrochemical and process manufacturing companies.

Download Now

Webinar

Livewire Platform Webinar

See how the Livewire Operational AI platform allows your plant team to deploy ML models 100x faster, what real-time recommendations mean for critical use cases and more.

Watch Now