Reduce Training Costs

Increase Training Effectiveness

Boost Productivity

Ensure Compliance

Everyone has their own unique learning style. So why don’t corporate training programs typically take this into account? One-size-fits-all training modules are not an effective way to train employees.

To prove training success, learning leaders must measure and track employee results. Demonstrating learning effectiveness and measuring success is about more than quiz and test results, satisfaction surveys and the number of courses completed.

Using Zoomi’s Artificial Intelligence for Learning®, companies can maximize training efforts through increased completion rates, improved courses effectiveness, reduced training costs, increased employee productivity and improved learner engagement.

Zoomi’s analytics will help your company demonstrate the correlation between training performance and business outcomes, making employee training an integral part of the business strategy.

How Does It Work?

With ZOOMI’s intelligent learning solution, your organization will be able to drive unprecedented insights from the data footprint each learner has left. Finding these known and hidden dimensions of each individual is key to optimization, personalization, and achieving the return on learning.

The Zoomi Solution

Zoomi’s Learning Intelligences Services allow organizations to understand if learning experiences are having the intended impact on operational outcomes and job performance. Learning material can instantly be evaluated to see if it is leading to positive or negative job outcomes, and if it’s aligned with assessments and/or regulations. L&D leaders can determine if their learning paths are efficient, and where individuals fall short in understanding the material. Training content that needs to be reinforced is identified, along with content that can be removed.

Zoomi’s Learning Analytics Solution is a seamless state-of-the-art learning experience, collecting real-time, fine granular behavioral data and displaying it in a powerful and intuitive analytics visualization tool. The AI-based data analysis engine assesses how each learner interacts with the content. It discovers cognitive, behavioral and affective preferences for each learner, which describe, diagnose, predict and prescribe learner outcomes.

Zoomi’s NTI – No Touch Individualization – is an AI-informed data analytics system that personalizes content automatically and in real-time. It diagnoses weaknesses in a learner’s understanding of specific course material topics and automatically prescribes individualized content served up in real time based on these weaknesses. Unlike current offerings on the market, NTI does not require extra work on the part of the content producer to tag or index the material. In addition, content can be developed using any tool and hosted on an organization’s existing learning platform.

Zoomi’s deep learning algorithms identify weaknesses in understanding and provide customized content to meet an individual learner’s needs without any instructor or content development intervention, and can integrate with your existing learning platform and tools.

Zoomi is the only AI-informed learning analytics company, bringing together the disciplines of predictive and prescriptive analytics, machine learning, and data mining to glean insights and intelligence about a learner’s behavior, cognitive, and engagement preferences to synchronize learning with business outcomes.

Ineffective training costs businesses $13.5 million dollars per year, per 1,000 employees.
Training can be part of your business strategy.

Zoomi adapts to unique learning styles and customizes learning material


• Increases learning efficacy
• Decreases time to proficiency
• Improves engagement
• Boosts productivity

Provides real-time insights and visibility to training and business outcomes


• Reduces training costs
• Ensures compliance
• Increases training effectiveness
• Saves time

Artificial Intelligence is transforming learning. Zoomi makes training part of the business strategy.