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Artificial Intelligence & Machine Learning

Gain AI/ML traction by implementing solutions that speed up or augment decision making.

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What if you could finally stop fighting fires and start looking ahead?

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When it comes to AI/ML, organizations often struggle with data quality (too little data, inconsistent data, or unusable data) and struggle to make progress on their own.

Artificial intelligence and machine learning are the future of digital products and data — and they don’t need to be an empty promise. RevUnit can help you uncover the value in your data to start thinking predictively. 

We have experience building enterprise technology for some of the worlds largest companies:
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$60M is no small change

A closer look at how we helped a leading food processor stop losing millions of dollars annually.

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Our expertise

Computer Vision

Find meaning from images, videos, and other visuals, and then take action.

Recommendation Engines

Use past behavior to create highly-personalized experiences for users.

Natural Language Processing

Generate valuable analytics from unstructured text.


Leverage patterns and rules to perform repetitive tasks with little to no human interaction.

Our approach

Feature Preparation

Understanding data features, or the collection of input data to a machine learning model, is central to developing effective automation with machine learning. It’s impossible to attain quality results without clean, sensible features, so we:

  • Gain stakeholder alignment on what is important
  • Define vision for what value the output drives
  • Ensure the data is clean and complete

Model Preparation

Machine learning is complex and requires lots of experimentation to build the most successful model based on well-defined metrics. Model preparation is critical to successful automation.

  • Determine the right type of model(s)
  • Develop metrics to assess performance from both technical and stakeholder perspectives
  • Iteratively train model(s) over the hyperparameter space
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Model Deployment

A model that is not deployed is not providing value. Like software deployment, there is an entire art associated with AI deployment, and that can’t be overlooked when achieving successful automation.

  • Choose frameworks that work with existing production environments
  • Create a robust, testable pipeline for deployment
  • Automate the deployment pipeline

Artificial Intelligence & Machine Learning FAQs 

What is AI/ML?

Artificial intelligence combines computer science and robust datasets to enable problem-solving. It includes the fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines use AI algorithms to create systems that make predictions or classifications based on input data.

Machine learning is one subset of the field of artificial intelligence. It’s a way of solving problems without explicitly coding the solution. Instead, human coders build systems that improve themselves over time, through repeated exposure to sample data, which we call “training data.”

Why is RevUnit different?

RevUnit takes an agile approach to artificial intelligence and machine learning. We build small, pilot models with test data — and then scale for accuracy.

What challenges can artificial intelligence and machine learning solve for me?

AI/ML is the future of both data and product development. We can help:

  • Organizations that don’t have foundational data structures in place to enable AI/ML
  • Teams that want to get predictive, but don’t know where to start
  • Uncover value in data when it’s otherwise hard to find
  • Leaders who are feeling the pressure to implement AI/ML to improve processes
  • Teams who are feeling the impact of the labor shortage and talent competition
  • Companies that lack in-house data science talent

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Google Cloud Partner

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Leverage the power of purpose-built AI solutions to transform your organization and solve real-world problems.

  • Unlock Artificial Intelligence
  • Build AI & ML Products
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