Loris.ai is a customer experience (CX) intelligence company based in the
United States that specializes in applying artificial intelligence and
machine learning to customer service conversations. The company helps
businesses transform their customer support interactions into actionable
insights by analyzing the vast amounts of conversational data generated
across support channels such as chat, email, messaging, and voice.
Loris.ai emerged in part from technology and expertise developed at Crisis
Text Line, a nonprofit organization that provides mental health support via
text messaging. This origin gives Loris.ai a distinctive foundation in
understanding emotionally sensitive, high-stakes conversations at scale, and
the company has applied these learnings to the commercial customer service
space. The core idea behind Loris.ai is that every customer conversation
contains valuable signals about customer sentiment, agent performance, and
operational efficiency, and that AI can unlock these signals to improve both
the customer and agent experience.
What the Company Does
At its core, Loris.ai is a conversational analytics and AI platform designed
for customer support and contact center operations. The platform ingests
conversation data from a company's existing support tools, analyzes it using
natural language processing and machine learning models, and surfaces
insights that help teams improve quality, coach agents, and understand
customer needs.
Rather than requiring companies to rip out and replace their existing
customer service software, Loris.ai is designed to integrate with the tools
that support teams already use. It works alongside major helpdesk and
contact center platforms, layering intelligence on top of the conversations
those systems capture.
The company positions its technology around a few central goals:
- Improving the quality and consistency of customer support interactions
- Reducing the manual effort involved in quality assurance and conversation
review
- Giving agents real-time and post-interaction guidance
- Helping leaders understand the "why" behind customer contacts and
satisfaction trends
- Turning unstructured conversation text into structured, measurable data
Products and Services
Conversational Insights and Analytics
Loris.ai provides a conversational analytics capability that automatically
reviews and categorizes customer interactions. Instead of managers manually
reading through a small sample of conversations, the platform can analyze
100 percent of interactions, identifying recurring themes, customer
intents, emotions, and drivers of contact. This helps businesses understand
what customers are actually reaching out about and where friction points
exist in the customer journey.
Automated Quality Assurance
One of the flagship offerings from Loris.ai is automated quality assurance
(auto QA). Traditional QA processes in contact centers rely on human
reviewers who can only evaluate a tiny fraction of total conversations.
Loris.ai automates this process by scoring interactions against defined
quality criteria, allowing organizations to evaluate every conversation
consistently and objectively. This reduces bias, speeds up the review
process, and gives a far more complete picture of agent and team
performance.
Sentiment and Emotion Analysis
Drawing on its heritage in analyzing emotionally charged conversations,
Loris.ai offers sentiment and emotion detection. The platform can identify
how customers are feeling during an interaction, flag conversations where
customers are frustrated or at risk of churning, and help teams prioritize
follow-up. This emotional intelligence layer distinguishes the company's
approach from purely keyword-based analytics.
Agent Coaching and Performance Tools
Loris.ai provides tools that support agent coaching and development. By
analyzing conversation patterns and quality scores, the platform highlights
where individual agents excel and where they need improvement. This enables
supervisors to deliver targeted, data-driven coaching rather than generic
feedback, and helps new agents ramp up faster by learning from proven
successful interactions.
Real-Time Guidance and Suggested Responses
The platform includes capabilities that assist agents during live
interactions. Loris.ai can suggest responses, surface relevant information,
and guide agents toward best-practice language in real time. This helps
maintain consistency across a support organization and ensures that
customers receive accurate, on-brand, and empathetic responses.
Generative AI Capabilities
Loris.ai has incorporated generative AI into its platform to expand its
analytical and productivity features. These capabilities can be used to
summarize conversations, extract insights more efficiently, and enhance the
speed and accuracy of tasks such as tagging, reporting, and response
generation. The company applies generative AI within the specialized
context of customer service, aiming to keep outputs relevant and grounded
in real conversation data.
Who Uses Loris.ai
Loris.ai is aimed primarily at customer experience leaders, contact center
managers, quality assurance teams, and customer support operations
professionals. Its typical customers are organizations that handle large
volumes of customer conversations and want to improve service quality,
increase efficiency, and gain a deeper understanding of their customers.
The platform is particularly relevant to companies in industries with high
customer interaction volumes, such as e-commerce, financial services,
technology, and consumer services.
Value Proposition
The central value proposition of Loris.ai is that it turns the enormous
volume of customer conversation data, which often goes underused, into a
strategic asset. By automating time-consuming manual processes like quality
review and conversation tagging, the platform frees up human teams to focus
on higher-value work such as coaching, problem-solving, and customer
relationship building.
Key benefits the company emphasizes include:
- Comprehensive visibility into every customer interaction rather than a
small sample
- Faster, more consistent, and less biased quality evaluation
- Earlier detection of customer dissatisfaction and churn risk
- More effective and targeted agent training
- Data-driven understanding of the root causes of customer contacts
- Improved operational efficiency and reduced costs
Technology Foundation
Loris.ai's technology is built on natural language processing, machine
learning, and increasingly generative AI. The models are trained to
understand the nuances of customer service conversations, including tone,
intent, and emotional context. Because the company's roots lie in analyzing
sensitive human conversations at scale, its approach places emphasis on
understanding empathy and communication quality, not just transactional
resolution.
Summary
Loris.ai is a United States based artificial intelligence company focused on
the customer experience and contact center space. It provides a platform
that analyzes customer service conversations to deliver conversational
insights, automated quality assurance, sentiment and emotion analysis, agent
coaching support, real-time guidance, and generative AI powered
productivity features. By automating the analysis of large volumes of
support interactions, Loris.ai helps organizations improve service quality,
support their agents, understand their customers more deeply, and operate
their support functions more efficiently. Its distinctive background in
analyzing emotionally significant conversations gives it a unique
perspective on the human side of customer support.