Praxie is the AI-Powered Software Platform for digitizing and managing the innovation & product development process.

We’re helping Nucor Steel drive their innovation portfolio to decrease time to market and increase topline revenue.

We can help you achieve results like this too:

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Reduce time to market by 10-50% with intelligent digital planning, product development, and change management.
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Increase Capacity by 5-20% by digitizing the innovation process and streamlining operations.
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Increase Productivity by 5-15% by doing more with innovation teams through digitizing workflows, training, lean processes, and more.
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Reducing Costs by 5-35% from inefficient workflows and business processes.
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Improve Top Line by 10-20% by meeting and exceeding product launch deadlines, digital transformation, and more.

Are you experiencing...

  • Inefficient innovation processes
    • Slow, manual Excel processes that are hard to measure
  • Lack of data and visibility to problems and innovation projects
    • Surprises and issues that turn into fires
  • Slow, expensive IT projects that take forever and don’t add value
    • Time sink technology projects that don’t meet your innovation needs

Praxie’s platform solves these problems and more with:

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AI-Powered digital innovation management
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Fast & cost-effective no-code tools for custom solutions
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Data integration with other systems for full visibility

Our Customers Achieve Great Results

Mike Bainbridge
Manager, Digital Customer Experience

Praxie’s Manufacturing Ops application has greatly improved our daily management initiatives. With remote workers and several different locations, it’s easy to see how we are doing, identify issues, and track our improvements – no matter where we sit.

Jeff Piotrowicz
Project Manager

With Praxie we’ve created a way to report on complex projects that gives management full visibility. Executives have full visibility to all aspects of projects, assignments, etcetera at their fingertips.

Dylan Hoback

Praxie’s software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.