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DATASTAR

Tired of Time-Consuming Modeling Data Workflows?

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Join the DataStar movement as an early adopter  

Are you a supply chain modeler or business user experiencing: 

  • Manual workflow processes make it difficult to scale or refresh models consistently 
  • Teams rely on complex code or fragile spreadsheets to get things done 
  • Critical knowledge lives with a few individuals, blocking broader access 
  • Workflows that live only on individual laptops, inhibiting team environments  

We hear you! That’s why we designed DataStar, an AI-workflow driven data authoring tool that: 

  • Build automated, reusable workflows with a no-code interface—designed for business users 
  • Bring in custom Python or SQL when needed—no limits for power users 
  • Leverage AI trained on supply chain workflows to configure tasks and generate logic 
  • Collaborate in a cloud-native workspace where teams work from the same source of truth 
  • Power both models and business-facing apps, fully integrated with Cosmic Frog 
  • Get started fast with prebuilt supply chain macros, templates, and best practices 
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Join our early adopter program to get advance access to DataStar and join the movement!

Yes! I want more information about the DataStar early adopter program.

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How Does Being a DataStar Early Adopter Work?

Before August 1
As a selected early adopter, you’ll benefit from: 

  • Monthly sessions with the DataStar product team to preview upcoming features 
  • Opportunities to influence feature prioritization and share usability feedback 
  • Access to a peer group of customers to exchange use cases and best practices during DataStar advisory roundtables 

Starting August 1 

  • Receive access to an early version of DataStar with core functionality 
  • Gain updated capabilities as we progress toward general availability (GA) 
  • Participate in regular feedback sessions with our product team to help refine usability, functionality, and value delivery 
  • Be invited to be an early advocate, including co-presenting in webinars, providing references, and helping showcase innovation across our ecosystem 

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