The startup offers an AI-powered virtual assistant platform that enhances customer interactions for remote sales and support teams by utilizing natural language processing to identify keywords and conversation flow. This technology enables businesses to deliver relevant information and tailored sales messages, improving engagement and effectiveness in customer conversations.
Funding
$440K 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
Sales, telemarketing, and customer support teams often struggle to quickly access and deliver accurate, consistent information during customer interactions. This can lead to longer call times, inconsistent messaging, and increased onboarding time for new employees. Furthermore, managers spend significant time re-listening to calls to ensure quality and adherence to key messaging.
Solution
CogNeed AI™ provides a real-time conversational AI assistant that augments the capabilities of sales and support teams. The platform delivers contextually relevant information, including product details, solutions, and answers to common objections, directly to agents during live conversations. By leveraging conversational intelligence, CogNeed AI™ helps teams improve customer experience, reduce call handling times, and accelerate the onboarding process. The system integrates with existing telephony, video conferencing, and CRM tools to provide a seamless workflow.
Target Audience
CogNeed AI™ targets inside sales teams, telemarketers, customer service representatives, and customer success teams, particularly those in tech, hardware, software, SaaS, call centers, banking, mutual insurance, and insurance sectors.
Features
- Real-time information pop-ups triggered by keywords and conversation flow
- Customizable knowledge base that incorporates marketing messages, training materials, and processes
- Proprietary AI engine that understands industry-specific jargon and terminology
- A/B testing capabilities to optimize messaging and identify best practices
- Voice command recognition for hands-free operation
- GDPR compliance with options to limit voice processing to the agent's voice
- Integrations with existing CRM, VoIP, and video conferencing platforms
- Analytics dashboard to monitor conversation themes and message adoption