Time to democratize coaching with the power of AI

Retorio's AI coaching leverages sophisticated technology to provide measurable, impactful, and scalable coaching. It addresses the limitations of traditional coaching through data-driven, personalized, and unbiased methods. The core of Retorio's AI coaching lies in its capacity to analyze and quantify behavior using a multimodal approach.

Technical Architecture The AI coaching system works through a combination of deep learning models designed to optimize descriptive, predictive, and prescriptive functions. These models are designed to recognize speech, voice and visual cues from video and audio data. The AI coaching platform consists of three primary types of models:

• AI Coaching Generation and Simulation Models: These models generate realistic training content, including simulated conversations and avatars, enabling administrators to create and launch simulations rapidly. Generative AI creates coaching content and brings content to life.
• AI Coaching Models for Behavioral Intelligence: These models analyze user interactions to quantify, predict, and prescribe behaviors using video analysis. These models translate explicit goals into concrete behaviors.
• AI Coaching Impact Reporting Models: These models provide insights into user engagement and the overall impact of training, enabling administrators to evaluate the effectiveness of coaching initiatives. These models identify skill gaps and track coaching impact on the firm.

Quantifying Behavior with Behavioral Intelligence At the heart of Retorio's AI coaching platform is behavioral intelligence, which analyzes user interactions to quantify, predict, and prescribe behavior based on video analysis. This system employs multimodal models that operate across different layers, integrating voice, speed, and visual inputs to describe quantifiable behavioral traits.

Multimodal models capture verbal, visual, and auditory cues. Communication is 55% visual, 38% vocal, and 7% words, making multimodal models up to 14 times more powerful than pure verbal models. The data is processed through three layers:

• Descriptive Recognition Models (Layer 1): In this initial stage, video and audio data are preprocessed and converted into quantifiable formats. Visual analysis involves detecting and analyzing visual cues like facial expressions using convolutional neural networks (CNNs). Verbal analysis employs deep-learning transcription models to extract audio features. Vocal analysis quantifies vocal data to enable prosody analysis.
• Prediction Models (Layer 2): The data from Layer 1 is analyzed using specialized behavioral models that assess the anticipated impact of the observed behavior on a simulated target audience. Each model concentrates on a single mode of communication—vocal, verbal, or visual—to enhance explainability and transparency.
• Prescriptive Benchmark Models (Layer 3): The output from Layer 2 is evaluated against predetermined benchmarks that represent ideal behaviors. The AI coach then compares observed behavior with these benchmarks and conducts a disparity analysis to determine necessary behavioral modifications, providing targeted recommendations.

Establishing Benchmarks Benchmarks reflect ideal behaviors, enabling progress tracking and discrepancy identification. Benchmarks can be derived through three methods:

• Manual Configuration: Training administrators define benchmarks by outlining desired behaviors for specific situations.
• Reference Benchmarks: Retorio offers pre-established benchmarks for various industries and roles, developed and maintained by behavioral scientists.
• Benchmark Users: Top performers are invited to participate in training initiatives, and their behaviors are analyzed to create data-driven benchmarks.

Measuring Impact and Delivering Actionable Insights AI coaching impact reporting models provide insights into user engagement and training effectiveness. These models combine content generation outcomes with behavioral intelligence to evaluate coaching initiatives. The results are integrated into dashboards that help decision-makers monitor the efficacy of coaching programs. Dashboards offer metrics such as:

• The number of users engaged and completion rates for individual coaching modules
• Learning effectiveness of coaching programs
• Business impact of coaching programs

By integrating with CRM or HRM systems, the platform can validate whether feedback results in actual performance improvement.

Key Advantages of Retorio's AI Coaching:

• Data-Driven Recommendations: AI coaches offer recommendations supported by video evidence.
• Impact Measurement: AI coaching quantifies behavioral changes and validates recommendations.
• Unbiased Recommendations: AI coaches focus solely on behavior, disregarding demographics.
• Data Privacy: Users have control over their data and can delete private information.
• Psychological Safety: The AI offers a safe environment for receiving feedback.
• Scalability and Democratized Access: Cloud-based AI coaching enables simultaneous coaching for many clients at low costs.

Statistics Retorio’s AI coaching models achieve high accuracy in describing and predicting behaviors: verbal and non-verbal accuracy both exceed 95%, while vocal accuracy is over 80%. Engagement rates are also high. Voluntary participation rates in AI coaching programs range from 75% (leadership training) to 93% (retail sales setting), with an average of six to twelve coaching sessions per user per quarter and recommendation rates of 80-91%. Participants' behavior improved by 2% with each AI coaching session. A large enterprise implemented Retorio’s AI coaching and within four months transitioned one out of five moderate performers into the top-performer category, resulting in an estimated 7% increase in additional revenue.

1. Behavioral Intelligence Integration

Retorio's platform is powered by Behavioral Intelligence, utilizing AI models to decode the intricacies of human behaviors. This approach provides actionable insights into why top performers excel, enabling organizations to replicate winning behaviors across teams.

2. Real-Time, In-Depth Feedback

During training sessions, Retorio offers real-time, in-context feedback, simulating the presence of a personal coach. As users engage with the material, the AI coach actively analyzes performance, providing immediate insights and recommendations, thereby enhancing the learning experience.

3. Video-Based AI Coaching

Retorio provides a video-based AI coaching platform that combines artificial intelligence with insights from modern behavioral research. This approach helps companies identify and drive winning behaviors across their organization.

4. Scientific Foundation

Founded at the Technical University of Munich and advanced at institutions like MIT and the University of Tokyo, Retorio leverages behavioral science and deep learning to deliver personalized coaching experiences that are scalable, unbiased, and psychologically safe.

In contrast, other AI coaching platforms may offer features like personalized guidance, real-time feedback, and scalability, but Retorio's emphasis on behavioral intelligence and its scientific foundation provide a distinctive edge in delivering effective coaching solutions.

Retorio AI Coaching VS LinkedIn AI Coaching:

• Retorio:

  • Based on behavioral and emotional intelligence coaching.

  • Uses video-based simulations and AI to analyze soft skills like communication, leadership, and teamwork.

  • Ideal for corporate training, leadership development, and team-building.

• LinkedIn AI Coaching:

  • Focuses on career development, professional growth, and skill-building.

  • Provides AI-driven insights and recommendations for improving LinkedIn profiles, networking, and job searches.

  • Ideal for individual professionals looking to advance their careers.

Retorio vs. LinkedIn AI Coaching

Retorio uses AI to analyze users' behavior in video-based simulations. It evaluates facial expressions, tone of voice, and body language to provide personalized feedback on emotional intelligence and interpersonal skills.

An AI sales coaching platform leverages machine learning and advanced analytics to monitor, analyze, and improve sales performance. It provides real-time feedback, customizes training paths, and scales personalized coaching across large teams. For example, Retorio uses deep behavioral intelligence to analyze both verbal and non-verbal cues during sales interactions, helping to refine techniques and drive better results. Learn more at Retorio

For large organizations, scalability is key. Retorio is designed to train thousands of employees simultaneously while maintaining consistency and quality across different regions and teams. Its enterprise-grade analytics enable L&D managers to monitor progress and measure the return on investment effectively. Explore scalability features

Retorio provides immersive video simulations, AI-driven feedback, and personalized coaching paths that adapt to individual performance. This includes role-playing scenarios, real-time corrections, and comprehensive analytics that help sales teams practice and perfect their skills continuously. See module details

Yes, integration is a priority for enterprise solutions. Retorio offers flexible API integrations that allow it to seamlessly connect with your existing learning management systems (LMS), customer relationship management (CRM) tools, and other enterprise software, ensuring a smooth implementation process.

The implementation process is designed to be smooth and minimally disruptive. It usually starts with an initial assessment, followed by a tailored onboarding process, pilot testing with a select group of users, and then a full-scale rollout. Retorio provides support at every stage to ensure your team adapts quickly and effectively. Learn more

Sales coaching software leverages artificial intelligence to analyze sales interactions, deliver real-time feedback, and provide personalized training. In Retorio’s case, it combines video-based simulations with advanced behavioral intelligence to help sales teams improve communication, build confidence, and boost performance.

Retorio’s platform uses AI-driven analysis to capture both verbal and non-verbal cues during simulated sales interactions. It then provides immediate, actionable insights and personalized coaching tips—allowing sales professionals to refine their approach in real time.
Discover the technology behind Retorio

Using AI-powered sales coaching, like Retorio’s solution, ensures that your team receives consistent, scalable, and personalized training. This leads to improved sales techniques, better customer interactions, and ultimately, higher conversion rates. Retorio’s approach, rooted in behavioral intelligence, is designed to deliver measurable results.

Retorio delivers deep, actionable insights by analyzing behavioral patterns during sales interactions. You can expect detailed feedback on communication styles, customer engagement techniques, and overall performance trends—empowering your team to refine their sales approach effectively.

Connecting Retorio with Salesforce is straightforward. Retorio provides an integration portal with guided steps to sync your sales data with its coaching analytics. This integration enables real-time performance tracking and a unified view of sales effectiveness, making it easier to drive continuous improvement.