SPEEQO unifies multi-channel customer feedback into actionable intelligence using adaptive AI models. The platform detects themes, tracks sentiment, and alerts teams to emerging issues in real-time. This enables data-driven product optimization, improved player retention, and maximized customer lifetime value across gaming and iGaming sectors.
Funding
$500K 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
Gaming and iGaming companies struggle to effectively analyze player feedback and engagement across multiple communication channels. This makes it difficult to identify key issues, understand player sentiment, and optimize gameplay for improved retention and revenue. Traditional methods of data analysis are often time-consuming and lack the granularity needed for actionable insights.
Solution
SPEEQO provides an AI-powered platform that consolidates and analyzes player feedback from voice interactions and other digital channels. The platform uses voice-based machine learning to understand speech patterns and emotional states, delivering real-time insights into player behavior. By unifying data from disparate sources, SPEEQO enables developers to identify emerging risks, optimize gameplay, personalize player experiences, and make data-driven decisions to improve product strategy and customer satisfaction.
Target Audience
SPEEQO primarily targets product, operations, marketing, and CX/support teams within gaming, iGaming, and fan engagement companies seeking to improve player retention, optimize gameplay, and drive revenue growth.
Features
- Unified data consolidation from voice, text, and other digital channels
- AI-powered sentiment analysis to understand emotional drivers
- Real-time issue alerts for early detection of emerging risks
- Theme detection to categorize feedback and surface key insights
- Impact tracking to monitor how updates and campaigns influence engagement and performance
- Granular review breakdowns with topic clustering and anomaly detection
- Support for targeted feedback through open-ended questions with speech and text responses