Raven.ai Alternatives (January 2026)

Raven is the only production monitoring software that combines machine data and frontline insights to provide context for every second of production time.

4.4/5

84+ reviews

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1.
Real-time Production Monitoring Software | Worximity
https://www.worximit
.com/

Real-time production monitoring software that boosts efficiency, improves profitability, and empowers your manufacturing workforce—backed by a team of experts.

2.
Amper FactoryOS | OEE, Labor, & Machine Monitoring Software for Manufacturing
https://www.ampe
.xyz/

Amper's OEE tracking & machine monitoring software helps you track utilization, cycle time, and more. It's quick to install, simple to use, & easy on price.

3.
Manufacturing Analytics Software & Solutions | FourJaw
https://www.fourja
.com/

FourJaw provides manufacturing analytics software by capturing real-time data via our machine monitoring platform. Unlock your factory's potential today.

4.
Production Monitoring | Mingo Smart Factory
https://www.mingosmartfactor
.com/

Mingo Smart Factory, out of the box smart factory platform that gives manufacturers real time visibility into their operations and OEE.

5.
Factbird – Manufacturing Intelligence Software
https://www.factbir
.com/

Factbird lets manufacturers gather, manage, and analyze production data from multiple sources to improve operations and increase productivity.

6.
Evocon | Digitalize production. Elevate efficiency.
https://evoco
.com/

User-friendly OEE software that automates the data collection from machines and provides real-time information about production performance.

7.
Tulip | The Industry's Leading Frontline Operations Platform
https://tuli
.co/

Tulip, the industry's leading frontline operations platform, gives manufacturers a holistic view of quality, process cycle times, OEE, and more.

8.
Facttwin: Best Industrial IoT Platform for Manufacturers
https://facttwi
.com/

Explore Facttwin Industrial IoT Analytics & Production Monitoring. Optimize Operations with Real-time Insights and Predictive Machine Health Monitoring.