The startup develops interaction-analysis software that utilizes artificial emotional intelligence to analyze behavioral patterns during B2B video calls. This technology enables clients to quantify rapport and improve sales outcomes by providing actionable insights into effective communication strategies.
Funding
$310K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Analyzing only the text of B2B video calls misses crucial non-verbal cues, leading to incomplete understanding of interactions and hindering effective communication strategies. Existing conversation intelligence tools often overlook the significant impact of para-verbal and non-verbal signals on conversation outcomes. This lack of comprehensive analysis limits the ability to accurately assess rapport and improve sales performance.
Solution
Simpleem offers an interaction-analysis platform powered by Artificial Emotional Intelligence (AEI) to provide a comprehensive understanding of B2B video calls. The platform analyzes verbal, para-verbal (voice/sounds), and non-verbal (visual cues) signals to quantify rapport and predict success with a claimed accuracy of 94%. By identifying mismatching and resonating moments, Simpleem enables users to qualify intentions, assess performance, track customer rapport, and enhance team ROI. The AI models are trained on real-world data from over 10,000 business meetings and over 1 billion data points, allowing the system to translate behavioral insights into concrete business metrics.
Target Audience
The primary target audience includes sales teams, HR departments, and coaching/tutoring services seeking to improve communication effectiveness, assess performance, and build stronger relationships through data-driven insights.
Features
- Analyzes verbal, para-verbal (voice/sounds), and non-verbal (visual cues) signals during video calls
- Employs proprietary AI models trained on real-world business conversations with labeled results
- Identifies win/lose patterns in behavior and their impact on outcomes
- Provides actionable insights and recommendations to improve communication strategies
- Offers a web dashboard for visualizing and evaluating relationship-building skills
- Integrates with Video Conference Services (VCS) to automatically extract necessary data
- Uses facial detection and recognition to identify and remember participants
- Provides post-meeting analysis with video player, transcript, and verbal/non-verbal insights
- Offers an API for integrating AEI features into other software solutions
- Complies with SOC2 standards to ensure data protection and privacy