Loris is a conversation-intelligence platform that combines multiple AI models (pretrained, custom models, and LLMs) to convert 100% of customer conversations across channels into actionable customer experience (CX) and quality assurance (QA) insights. Key capabilities include organization-specific contact driver/intent classification, root-cause detection, review reasons and escalation triggers, conversation-quality scoring (predictive CSAT), sentiment graphing and sentiment delta analysis, resolution detection with justification, an AI analyst interface called 'Ask Loris' for queryable evidence, emerging-issues early detection, FAQ extraction for knowledge bases and bot training, and automated, customer-centric QA with coach generation and progress tracking. The product supports multichannel interactions (phone, chat, email, AI-agent interactions) and is marketed with integrations to common CX systems (examples cited: Zendesk, Salesforce). Public materials note a team of data scientists, technologists, and behavioral linguists; the company lists presence in New York and Tel Aviv and appears to have been founded around 2018. Loris emphasizes privacy and security (Trust Center) and typically acts as a data processor per its privacy policy, listing GDPR/CCPA processing bases, data categories, retention, international transfers, and data subject rights. No public pricing or trial is listed; pricing and plan details are provided via demo/contact and appear to be custom/enterprise.