Comparing EvaluAgent and Level AI? 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 | Level AI |
|---|---|---|
| Pricing | Paid · $35/user/mo | Paid · Custom |
| Founded | 2012 | 2019 |
| Categories | Contact Center & CCaaS QA & Conversation Analytics Voice & Phone AI | Agent Assist & Copilots Contact Center & CCaaS QA & Conversation Analytics |
| Integrations | Zendesk Intercom Salesforce Service Cloud Freshdesk Genesys Five9 Amazon Connect Talkdesk | Genesys NICE CXone Five9 Talkdesk Salesforce Zendesk |
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 →
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.
Read the full Level AI listing → · See Level AI alternatives →
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