Comparing Level AI and Loris? Both are Contact Center & CCaaS and QA & Conversation Analytics tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | Level AI | Loris |
|---|---|---|
| Pricing | Paid · Custom | Paid · Custom |
| Founded | 2019 | 2018 |
| Categories | Agent Assist & Copilots Contact Center & CCaaS QA & Conversation Analytics | Contact Center & CCaaS QA & Conversation Analytics |
| Integrations | Genesys NICE CXone Five9 Talkdesk Salesforce Zendesk | Zendesk Salesforce Kustomer Gladly LivePerson Twilio |
Level AI is what happens when someone who helped build Amazon's Alexa turns the same technology on the contact center. Founder Ashish Nagar worked on the Alexa Prize conversational AI effort before starting Level AI in 2019, and the product's core bet is that quality assurance should be about meaning, not keywords. Its semantic engine scores every conversation against your rubrics by understanding intent, so an agent who solved the problem politely but never said the magic phrase still scores well, and one who recited the script while losing the customer does not.
Automated QA is the anchor, and around it the platform builds the full intelligence loop: real-time agent assist that surfaces answers from your knowledge sources during live conversations, voice-of-customer analytics that tell leaders what is driving contacts and sentiment, agent screen recording for the full picture, and AI virtual agents for handling routine interactions outright. It integrates with the usual suspects, including Genesys, NICE CXone, Five9, Talkdesk, Salesforce, and Zendesk.
The company, based in Mountain View, has raised about $73 million, most recently a $39.4 million Series C led by Adams Street Partners, and counts Vistaprint, Purple, Extra Space Storage, and Smartsheet among its customers. Pricing is quote-based with nothing public, typical for the category.
Level AI competes most directly with Observe.AI and the QA suites inside bigger platforms, and the honest differentiator is its semantic scoring and analytics depth. Shortlist it if your QA program has outgrown checklists and you want conversation data treated as a source of insight rather than a compliance chore, especially if you run a mid-size to large team on one of the contact-center platforms it plugs into.
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Loris is a conversation intelligence platform that turns customer service interactions into structured data. It ingests voice calls, chats, and emails, then uses a mix of proprietary models and large language models to detect intent, sentiment, and quality signals across 100 percent of conversations rather than a sampled slice. That powers three jobs: insight into why customers contact you and how sentiment shifts, automated QA scoring of policy adherence and resolution, and analytics on AI agents, tracking containment, transfers, and abandonment so automation does not quietly degrade the experience.
Loris grew out of Crisis Text Line, the nonprofit text hotline, on the theory that empathetic language patterns learned there could improve commercial support. The New York company raised a $12 million Series A in April 2022 led by Bow Capital with ServiceNow Ventures, Floodgate, and Vertex participating, roughly $19 million total, under CEO Etie Hertz. Gartner named it a Cool Vendor, Harvard Business School wrote a case study on it, and pizza marketplace Slice credited it with a 36 percent drop in credits issued. In July 2025 Contentsquare agreed to acquire Loris, and the deal closed on October 23, 2025.
Loris never published pricing and still does not. Everything is quote based, and the product is now sold as the Conversation Intelligence module of the Contentsquare experience analytics platform, so expect an enterprise sales conversation rather than a credit card signup, likely alongside a broader Contentsquare pitch.
Choose Loris if you want conversation data connected to digital experience analytics, which the Contentsquare pairing makes genuinely distinctive, or if oversight of AI agents matters as much as human QA. Be aware that loris.ai now redirects to Contentsquare and the standalone brand is being absorbed, so buyers who want an independent, single purpose QA vendor with its own roadmap should look at MaestroQA or EvaluAgent instead.
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