Comparing EvaluAgent 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 | EvaluAgent | Loris |
|---|---|---|
| Pricing | Paid · $35/user/mo | Paid · Custom |
| Founded | 2012 | 2018 |
| Categories | Contact Center & CCaaS QA & Conversation Analytics Voice & Phone AI | Contact Center & CCaaS QA & Conversation Analytics |
| Integrations | Zendesk Intercom Salesforce Service Cloud Freshdesk Genesys Five9 Amazon Connect Talkdesk | Zendesk Salesforce Kustomer Gladly LivePerson Twilio |
EvaluAgent is quality assurance and performance improvement software for contact centers. Its AutoQM engine automatically scores every conversation across voice, email, and chat instead of the tiny samples manual QA allows, with voice transcription built in, custom scorecards, and coaching workflows that route findings back to agents. A conversation intelligence tier adds intent detection, summarization, sentiment analytics, and predictive metrics, and a newer product line applies the same independent quality scoring to AI agents, priced per conversation rather than per seat.
The company was founded in 2012 in Middlesbrough in the north of England by Jaime Scott, Alex Richards, and Michelle Dinsmore, and built steadily for a decade before taking outside growth capital: a $20 million round in June 2023 from PeakSpan Capital, covered by TechCrunch as a bet that evaluating agents, human or otherwise, becomes more important as automation spreads. It remains one of the more prominent UK-grown players in the QA space.
Pricing is refreshingly public for this category. AutoQM starts at $35 per user per month, the AutoQM plus Conversation Intelligence bundle starts at $65 per user per month, and QA for AI agents starts at $0.05 per conversation, or $0.13 with conversation intelligence included. Volume discounts apply, AI agent pricing sits on top of a seat tier, and larger deployments still end in a custom quote, but you can budget from the website, which few competitors allow.
Choose EvaluAgent if you run a voice-heavy or omnichannel contact center, want QA plus coaching in one system, and appreciate a vendor that publishes numbers. It is a strong fit for UK and European operations and for teams starting to QA their chatbots. Look elsewhere if you want a free tier for a tiny team, or if you need the massive integration catalog and warehouse tooling of a MaestroQA.
Read the full EvaluAgent listing → · See EvaluAgent alternatives →
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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