Skillet
Skillet provides an AI roleplay, manager coaching, and call preparation platform built exclusively for pharmaceutical and medical device sales teams. The platform grounds AI responses in a closed knowledge base of approved labeling and company documents, automatically flagging questionable claims for compliance review. It supports use cases including new hire onboarding, leadership development, and product launch preparation.
- Artificial Intelligence
- AI Agents
- Sales Technology
- Education Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Pharma and medical device sales teams face high-stakes conversations where realism and accuracy are critical, yet generic training tools fail to reflect the actual vocabulary, call points, and objections encountered in the field. Teams also risk compliance issues when AI responses reference unapproved claims or labeling, creating a need for controlled, realistic practice environments.
Solution
Skillet delivers an AI roleplay, manager coaching, and call preparation platform designed specifically for life sciences organizations. The platform uses scenarios built from real industry vocabulary, call points, and objections rather than adapted generic templates. AI responses are bounded to a closed knowledge base of approved labeling, claims, and company documents, with questionable claims automatically flagged for review. The system supports new hire onboarding, leadership development, performance improvement, and product launch preparation, helping field teams practice the conversations they will actually have.
Target Audience
Primary customers are pharmaceutical and medical device companies, including their commercial, sales, and field teams, as well as learning and development and leadership functions within those organizations.
Features
- AI roleplay scenarios that match real pharma and medical device conversations using actual vocabulary, call points, and objections
- Closed knowledge base grounded in approved labeling, claims, and company documents to keep AI responses compliant
- Automatic detection and flagging of potentially inappropriate claims or comments for review
- Optional MLR approval flows enabling medical, legal, and regulatory signoff on key inputs
- Content isolation at the product level so practice stays focused and never shared across customers or products
- SSO integration with existing identity providers and compliance certifications including ISO/IEC 27001 and SOC 2 Type II
- Data retention controls with customer ownership of content and learner data, and AI never training on customer data