AiSenseUs provides AI-powered customer experience analytics that capture and interpret emotions across social media, online meetings, and call center interactions. The platform automatically collects data from digital channels, then applies emotion-focused artificial intelligence to generate actionable insights for improving customer satisfaction, marketing strategies, and competitor analysis. Its product suite includes a media analysis and reporting panel, online meeting analysis for Google Meet, MS Teams, and Zoom, and call center analytics with sentiment tracking.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses struggle to systematically capture and interpret customer sentiment across the growing number of digital touchpoints, including social media, online meetings, and call center interactions. Without integrated emotion analysis, organizations miss early signals of dissatisfaction, fail to track competitor positioning, and cannot effectively measure the impact of marketing or customer service efforts.
Solution
AiSenseUs provides a suite of AI-powered software-as-a-service tools that automatically collect data from social media, news, and websites, then apply emotion-focused artificial intelligence to generate actionable insights. The platform includes a media analysis and reporting panel for tracking customer satisfaction and competitor activity, an online meeting analysis tool that transcribes and evaluates Google Meet, MS Teams, and Zoom calls, and a call center analytics module with sentiment tracking and agent scoring. All technologies are offered as a service, enabling businesses to integrate these capabilities into their own products and workflows. The platform also provides voice and chat bot solutions with intent recognition for automated customer conversations.
Target Audience
Primary customers are marketing teams, customer experience managers, call center operators, and product developers who need emotion-based analytics to improve customer satisfaction, optimize marketing campaigns, and conduct competitor analysis.
Features
- Automated data collection from social media platforms including Instagram, Twitter, TikTok, YouTube, LinkedIn, Reddit, and Google Places, plus news sources
- Real-time meeting transcription with searchable transcripts and AI-generated insights for Google Meet, MS Teams, and Zoom
- Emotion analysis and sentiment tracking applied across meeting conversations, call center interactions, and social media mentions
- Action item extraction that automatically identifies decisions and tasks from meetings and assigns owners
- Meeting quality scoring that measures participation balance, sentiment trends, and productivity metrics
- API access for integrating emotion analysis and data collection capabilities into third-party products
- Social media messaging panel with AI guidance, SLA-based queue operations, and proactive notifications
- Call center analytics with agent scoring and performance evaluation based on sentiment tracking