• Monitor process efficiency across facilities for performance anomalies and explore predictive maintenance as a source of water / energy savings or emissions / waste reduction.
  • Automate data assessment and IoT monitoring to identify outlier outcomes and potential data collection, sensor and calibration maintenance needs.
  • Maintain equipment based on performance conditions, reducing downtime.
  • Improve the lifespan of critical assets while reducing operational costs.
  • Execute facility wastewater operations and maintenance processes flawlessly.
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Sectors Plutoshift supports:

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Metals and
Machinery

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Paper

plastics sector icon

Plastics

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Transportation

textiles production sector icon

Textiles

Use Cases

1.
Process and equipment energy consumption optimization
2.
Water purification and treatment
3.
Waste minimization
4.
Safety improvement
5.
Sustainability planning
1.
Optimize energy demand, production and electricity costs to improver facility performance
2.
Apply predictive algorithms to water purification and treatment process to reduce maintenance costs and enhance asset life
3.
Optimize chemical dosing and related materials to reduce unnecessary waste treatment and related disposal/recycling costs
4.
Develop learning models to predict faults and prescribe actions that lead to less at-risk manual intervention
5.
Implement unified view on facility sustainability metrics with predictive algorithms that spot performance anomalies before they occur

Use Cases

Process and equipment energy consumption optimization.
Optimize energy demand, production and electricity costs to improver facility performance
Water purification and treatment.
Apply predictive algorithms to water purification and treatment process to reduce maintenance costs and enhance asset life
Waste minimization.
Optimize chemical dosing and related materials to reduce unnecessary waste treatment and related disposal/recycling costs
Safety improvement.
Develop learning models to predict faults and prescribe actions that lead to less at-risk manual intervention
Sustainability planning.
Implement unified view on facility sustainability metrics with predictive algorithms that spot performance anomalies before they occur

News & Blog

100th Episode Of The Dan Smolen Podcast

Prateek Joshi, Founder and CEO of Plutoshift, discusses how A.I. makes the world a better place on the 100th episode of The Dan Smolen Podcast. The Dan Smolen Podcast...
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8 Dimensions of Data Quality

By Prateek Joshi Large companies have enormous physical infrastructure. This infrastructure is well instrumented and data is collected continuously. The Plutoshift platform uses this data to help them monitor...

Databases, Infrastructure, and Query Runtime

By: Andrew Carlisle Recently, my team was tasked with making a switch from a combined MySQL and Cassandra infrastructure to one in which all of this data is stored...

Machine Learning In 20 Words Or Less

By John Sizemore, Vice President – Data Intelligence & Analytics I’m often told that Machine Learning sounds complicated – but it doesn’t have to be. If I was asked to...
Illustration of a man in a suit pointing a finger at a global wireframe map with dots of glowing lights on it.
Manufacturing Industry One Pager
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