Comparing Loris and MaestroQA? 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 | Loris | MaestroQA |
|---|---|---|
| Pricing | Paid · Custom | Paid · Custom |
| Founded | 2018 | 2013 |
| Categories | Contact Center & CCaaS QA & Conversation Analytics | Contact Center & CCaaS QA & Conversation Analytics |
| Integrations | Zendesk Salesforce Kustomer Gladly LivePerson Twilio | Zendesk Intercom Gorgias Kustomer Gladly Five9 Talkdesk Snowflake |
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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MaestroQA is a quality assurance and conversation analytics platform for customer support teams. It pairs classic QA, meaning custom scorecards, grader calibration, and screen capture of what agents actually did on their desktops, with an AI layer: AutoQA grading at scale, AskAI for querying conversations in plain English, voice of customer analysis, and compliance risk monitoring. It watches AI chatbots alongside human agents, coaching workflows close the loop with agents, and a data warehouse ingest pushes QA data wherever your analysts want it.
Founders Vasu Prathipati and Harrison Hunter started the company as students, Wharton and MIT respectively, and founded it in 2013. They grew it deliberately: MaestroQA was already profitable when it raised a $25 million round in 2021, an eight year path to a Series A that Forbes found notable enough to write up. Early traction came from brands like Etsy and Squarespace, ClassPass is a published case study on ramping agent onboarding, and the founders made the Forbes 30 Under 30 enterprise technology list announced in late 2019.
There is no published pricing. The pricing page is a contact form promising a tailored quote, and that is the honest story: cost depends on seat count, channels, and how much automated grading you run. Third-party procurement data suggests annual contracts for teams of 10 to 30 agents commonly land in the low five figures, but treat that as folklore from deal databases, not a rate card. Budget for a demo and a sales cycle.
Choose MaestroQA if you run a serious mid-market or enterprise support operation, care about coaching culture as much as scores, and need connectors for nearly everything: it integrates with dozens of helpdesks, dialers, chatbot vendors, and data warehouses, which few rivals match. Skip it if you want self-serve signup and a transparent monthly price. Small teams will find the process heavier than alternatives that publish per-seat numbers.
Read the full MaestroQA listing → · See MaestroQA alternatives →
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