Unlock the Potential of Your Manufacturing Data

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Data-driven change that impacts
your bottom-line

25%

Reduction in unplanned downtimes

20%

Reduction in scrap, defects, & rework

10x

Increase in speed to root cause machine issues

85%

Reduction in time to feature engineer AI/ML models

Ignite Your Potential with AI-Driven Innovations

Browse all feature
Automated Condition-Based Maintenance

Use a data-driven approach to proactively monitor and extend the life time of your machinery

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Real-Time Data Monitoring
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Built-in Feedback Cycle
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Predictive Insights using Max.e
Advanced Downtime Prediction

Leverage state of the art predictive models and alerting to be notified of a machine downtimes before they occur

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Automated root cause anaylsis
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Customizable alerting with Max.e
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Configurable prediction window
Intuitive Production Order Sequencing

Build a custom production order sequencing engine, saving countless hours of manual planning

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MES & ERP integration
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Custom optimization engine
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Fine-tuning from manual edits
Maintenance Manager Assistant

Quickly review completed maintenance workorders and provide technicians with real-time suggestions

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Complete CMMS integration
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Automated summarizing of workorder metrics
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Fine-tuning from manual edits

No-code tools to create and understand insights from complex AI/ML models

PraxisAI
How it works
Connect to your data
Configure AI/ML models
Create monitors for machines
Ask Max.e for data insights
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1

Connect to your data

Leverage Praxis AI's industrial connectors to ingest your sensor and event data from systems like Historians, MES, EAM, CMMS, and more

2

Configure AI/ML models

Build, train, test and deploy fully customizable models for critical machinery on your shopfloor

3

Create monitors for machines

Configure real-time monitors on all machinery or groups of machinery that are high priority. Select subsets of data, models, and documents

4

Ask Max.e for data insights and configure alerts

Utilize our proprietary engineering copilot Max.e to generate data-driven insights on complex processes and production events like downtimes

Elevate Your Business with Our Four-Phase Pilot Program

1
Factory Assessment
Our team of industry experts will conduct an onsite assessment to understand the best use case for Praxis
2
Ingest Data
We will work hand in hand with your manufacturing and IT teams to identify data requirements
3
Build a Solution
We will train your team on how to build a custom solution leveraging the Praxis AI platform
4
Monitor & Review
Deploy and monitor the configured solution until preliminary results can be measured and captured

Explore articles on our most recent case studies and strategic advice

Read all our blog
Strategies
Downtime Prediction

Discover how Praxis AI's proprietary predictive models were used to accurately identify the chance of a new downtime

November 18, 2024
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