Ematrics provides an AI‑driven platform that prepares sales reps for the entire call cycle and offers real‑time conversational assistance.
Funding
Funding not disclosed
Founders
Product
Problem
Sales representatives often lack consistent, data-driven preparation for calls and receive little real-time support during conversations, leading to missed opportunities, inefficient objection handling, and lower conversion rates.
Solution
Ematrics offers an AI-driven platform that equips sales reps with end-to-end call preparation and assistance. The system provides virtual training simulations featuring multiple AI personas to rehearse cold calls, negotiations, discovery, demos, and objection handling, delivering targeted feedback on performance gaps. During live calls, the platform conducts real-time conversational analysis and delivers unobtrusive, on-the-spot suggestions to refine messaging and address objections. After each interaction, automated summaries and note-taking capture key points and action items, enabling managers to generate detailed performance analytics and coaching insights. By integrating preparation, live guidance, and analytics, Ematrics helps sales teams improve efficiency, increase conversion rates, and close deals faster.
Target Audience
Primary customers are B2B sales organizations and inside sales teams that rely on phone or video calls for prospecting, deal negotiation, and customer onboarding.
Features
- AI-powered training simulations with six distinct virtual personalities covering cold calls, negotiations, discovery, product demos, and objection handling
- Real-time call assistance that analyzes live conversations and provides immediate, context-aware suggestions without interrupting the flow
- Automated call summarization and note generation highlighting key discussion points and next steps
- Performance dashboards delivering quantitative metrics on individual and team strengths, weaknesses, and conversion trends
- Industry-specific scenario libraries that adapt training content to the user’s market and product context