What is Loris AI?
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Founders/Launch: The company appears in a case study at Harvard Business School, noting its position as an AI software startup for the customer-service industry.
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Use cases:
- The company's use cases include analyzing customer support conversations to identify the root causes of contact, sentiment, and intent.
- The use cases also involve predicting customer satisfaction (CSAT) and identifying emerging issues across various channels.
- We provide coaching to agents, facilitate real-time alerts, and provide performance feedback.
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Technology:
- The technology consists of pre-built AI models that have been trained on hundreds of millions of real customer interactions.
- Layered architecture combining focused machine-learning models and generative AI to balance speed, precision, and flexibility.
- Omnichannel integration: connects to voice, chat, email, and AI/human agents to process interaction data from all channels.
Loris AI is an AI-powered customer support platform that translates the conversations you have with your customers into business insights. Using its own machine-learning models and conversational intelligence engine, Loris AI looks at all the ways customers communicate—like voice, chat, email, and with both AI and human agents—to figure out why they are reaching out, how they feel about the interaction, and what makes them stay loyal or leave. Fast time-to-value means customer-experience teams can quickly act on latent patterns, coach agents more effectively, and deliver smarter support.
Key features
Loris AI key features are
- Full-Conversation/Interaction Coverage: Analyze all interactions across channels and not merely samples.
- Intent and Sentiment Detection: Understand why customers are reaching out and how they are feeling.
- Agent Performance and Quality Control: Automated QA, plus insights into agent behavior patterns and their coaching potential.
- Rapid Deployment/Time-to-Value: Pre-trained models help organizations demonstrate value in weeks, not months.
- Ask-Like Querying: Special for CX leaders, "Ask Loris" allows them to question, "Why are customers contacting me?" with instant response(s).
- Omnichannel Interface and AI + Human Integration: These channels interface with human and AI agents, providing singular insight.
Pricing
Immediate details on Loris AI's pricing structure are not publicly available on its website. According to sources noted in research:
Loris enables custom pricing (quotation-based) rather than keeping fixed public tiers. There are no free plans clearly advertised.
However, pricing is most likely based on the number of interactions analyzed, channels supported, number of seats/users, and feature modules (QA, analytics, real-time alerts, etc.).
Disclaimer: For the latest and most accurate pricing information, please visit the official Loris AI website.
Who is Using Loris AI?
A wide range of users and organizations are using Loris AI
- Customer Experience (CX) teams
- Financial services & FinTech
- Retail & eCommerce brands
- Health & Wellness
- B2B SaaS companies & Marketplaces
Alternatives
Some Loris AI alternatives are
- Observe AI
- Talkdesk iQ
- Gong.io
- Superflows
- ProductBot
Conclusion
Where customer conversations are increasingly becoming identifiers of brand experience, Loris AI closes the chasm of transition from raw interaction data to actionable insight. Pre-trained models, full-conversation coverage, and analytics that are quick and distinctive empower organizations on the path to proactive experience management from reactive support. While pricing information may require a direct inquiry, the broad feature set and enterprise-ready capacity position Loris as an attractive opportunity for a business seeking to actualize the full worth of conversational data.
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