Comparing EvaluAgent and Observe.AI? Both are Contact Center & CCaaS, QA & Conversation Analytics and Voice & Phone AI 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 | Observe.AI |
|---|---|---|
| Pricing | Paid · $35/user/mo | Paid · Custom |
| Founded | 2012 | 2017 |
| Categories | Contact Center & CCaaS QA & Conversation Analytics Voice & Phone AI | Agent Assist & Copilots Contact Center & CCaaS QA & Conversation Analytics Voice & Phone AI |
| Integrations | Zendesk Intercom Salesforce Service Cloud Freshdesk Genesys Five9 Amazon Connect Talkdesk | Amazon Connect Avaya 8x8 Aircall Jira BambooHR |
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 →
Observe.AI made its name by fixing quality assurance, the least loved job in the contact center. Instead of a QA team sampling two percent of calls and arguing about scores, it transcribes and analyzes one hundred percent of interactions, scores them automatically against your rubrics, flags compliance risks, and turns the results into coaching. For support leaders it answers the questions that sampling never could: why are customers calling, which behaviors actually move CSAT, and which agents need help this week rather than at quarter end.
Founded in 2017 by Swapnil Jain and headquartered in Redwood City, the company raised a $125 million Series C led by SoftBank Vision Fund 2 in 2022, with Zoom as a strategic investor, and serves names like DoorDash, SoFi, Accolade, and Asurion. Like most of the conversation-intelligence category it has pushed aggressively into agents themselves: its VoiceAI agents now automate routine calls end to end, real-time assist guides live agents mid-conversation, and an Agent Harness handles the unglamorous work of testing and versioning AI agents before they meet customers.
The platform advertises more than 250 integrations across contact-center, CRM, and workforce systems, and pricing is custom, scoped to seat counts and interaction volume, with nothing published.
Observe.AI fits operations large enough that measuring conversations is a full-time problem: if you have dozens of agents or more and your QA process is a spreadsheet and good intentions, full-coverage automated scoring changes how you manage. Teams that just want a bot to deflect tickets have simpler options; teams that want to understand and improve every conversation, human or AI, should shortlist it.
Read the full Observe.AI listing → · See Observe.AI alternatives →
Submit your AI customer support software to get listed alongside these tools and show up in head-to-head comparisons.