SentiSum Review 2026 - Features, Pricing & Deals

SentiSum is an AI-native Voice of Customer analytics platform that helps businesses understand and act on customer feedback. The platform analyzes conversations, surveys, reviews, calls, and social media posts across multiple channels to provide clear insights into customer sentiment and trends.

At its core, SentiSum uses natural language processing and machine learning to automatically tag and categorize customer feedback. This makes it easier for companies to spot issues, track patterns, and prevent churn. The platform can handle feedback from calls, emails, chats, and social media, bringing everything together in one place.

The platform uses the Kyo AI Engine to provide early alerts for sentiment shifts, explain churn risk, and recommend actions. It offers custom AI models built for each customer, support for over 100 languages, and the ability to route support tickets based on urgency and intent. Teams can customize their dashboards to focus on relevant data, while anomaly detection helps track sudden changes in customer sentiment.

SentiSum offers a 14-day free trial that includes analysis of six months of historical data. The Pro plan starts at $3,000 per month for 5,000 conversations with unlimited users. Companies can reach out directly for custom enterprise pricing based on their specific needs.

• Automated Analysis and Tagging: AI-powered platform that automatically analyzes and tags customer feedback from multiple channels by intent, urgency, and issues, helping businesses identify key problems and trends.
• Multi-Channel Integration: Connects with data sources like social media, CSAT surveys, NPS feedback, support tickets, phone calls, and CRM notes to provide a complete view of customer experiences across all touchpoints.
• Kyo AI Engine: Provides early alerts for sentiment shifts and volume spikes, explains churn risk with root cause analysis, and recommends specific actions to improve retention.
• Intelligent Prioritization and Routing: Smart ticket management system that prioritizes and routes support tickets based on sentiment, intent, and urgency, reducing response times and improving customer satisfaction.
• Advanced Sentiment Analysis: Performs detailed emotional analysis in real-time to understand customer opinions, identifying positive, negative, and neutral sentiments with emotion detection capabilities.
• Anomaly Detection and Alerting: Monitors for sudden sentiment shifts or volume spikes and sends alerts so teams can respond to emerging issues before they escalate.
• Voice Analytics: Includes transcription and emotion detection for phone calls, allowing analysis of spoken customer feedback alongside written channels.
• Multilingual Support: Analyzes customer feedback in over 100 languages, making it ideal for global businesses with diverse customer bases.
• Easy Setup and Integration: Provides simple integration with existing tools like Zendesk, Intercom, and HubSpot, and offers a 14-day free trial to test platform capabilities.

• Pro plan starts at $3,000 per month for 5,000 conversations, includes 6 months of historical data analysis, unlimited users, and support for 100+ languages.
• Add-ons available for the Pro plan include real-time tagging and automation features for additional monthly fees.
• Enterprise plan offers custom pricing based on conversation volume, number of users, and required languages, with 12-24 months of historical data analysis.
• Enterprise features include custom channel support, voice call analysis at $0.04-$0.06 per minute, API access, and SSO.
• 14-day free trial available with analysis of six months of historical customer support data before committing to a purchase.

SentiSum's AI models are accurate thanks to their custom-built approach for each client. Instead of using generic sentiment analysis, they train models on your specific industry language and customer conversations. Most users report 85-95% accuracy in ticket tagging and sentiment detection, which is better than manual analysis. The system also improves over time as it learns from your data, making it increasingly accurate the longer you use it.

Yes. SentiSum connects with most popular helpdesk and feedback systems. They offer ready-made integrations with Zendesk, Freshdesk, Intercom, HubSpot, Trustpilot, Salesforce, and many others. The setup process usually takes less than a day, and their team handles most of the technical work. If you use a custom or less common platform, their API allows for custom connections in most cases.

You'll start seeing initial insights within the first week. SentiSum analyzes up to six months of your historical data during setup, so you don't have to wait for new data to come in. The dashboard will immediately show patterns and trends from your past customer interactions. For new issues or topics, the system can identify emerging trends within 24-48 hours as conversations happen. Most clients report making their first data-driven improvements within two weeks of implementation.

SentiSum works well for mid-sized to large companies that handle at least 1,000 customer conversations monthly. It's particularly valuable if you have a support team of 10+ agents or multiple feedback channels to monitor. While smaller companies can benefit too, the greatest ROI comes when you're dealing with volumes that would be impossible to analyze manually. Their clients range from growing startups with decent support volume to enterprise companies handling millions of customer interactions.

SentiSum takes data security seriously. They're GDPR compliant and use bank-level encryption for all data both in transit and at rest. The platform automatically redacts sensitive information like credit card numbers, addresses, and other PII from all analyzed conversations. They also offer flexible data retention policies, so you can set how long your data remains in their system. For companies with strict compliance requirements, they provide options for EU-only data storage and custom security arrangements.