Compare two sentiment analysis & voc analytics side by side.
Deepdots is an AI-powered customer feedback analytics platform that turns large volumes of unstructured text feedback — product reviews, support tickets, survey responses, and app store reviews — into actionable insights. Built natively on large language models rather than legacy NLP taxonomies, it needs no manual rule-building or taxonomy maintenance, and analysis quality improves as the underlying models improve. Deepdots covers the full feedback loop: Collect (AI surveys, trigger-based pop-ups, integrations), Analyze (automatic topic detection, sentiment and CSAT impact scoring, trend and spike alerts), and Act (custom dashboards, automated alerts, and an AI assistant that answers plain-language questions about your feedback with evidence from real customer comments). Built for B2C and B2B companies handling feedback at scale, Deepdots is headquartered in Copenhagen, SOC 2 certified, and GDPR-native with fully private AI processing — data never leaves your infrastructure — a strong fit for security-conscious enterprises. Integrations include Zendesk, Intercom, Trustpilot, HubSpot, Qualtrics, Dixa, Gong, Steam, G2, app store reviews, CSV import, and a REST API; custom sources are typically connected within days during free onboarding, at no extra cost. Verified results include a Nordic real estate company converting 200% more insights into action and GN Group proactively flagging 46 product bugs from customer feedback.
Best fit: Enterprise, Mid-Market teams.
Azure Cognitive Services API for sentiment analysis, key phrase extraction, and named entity recognition.
Best fit: Enterprise, Mid-Market, Small Business teams.