Level AI vs Verint (2026)

Comparing Level AI and Verint? 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 pricing and an estimated monthly bill, channels, compliance claims, and integrations, plus when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.

At a glance

Attribute Level AI Verint
What it is AI-first quality assurance and analytics for customer service teams. Enterprise CX automation platform where Da Vinci AI powers specialized bots for containment, agent assist, and workforce engagement.
Pricing Paid · Custom Paid · Custom
Est. monthly cost No published price to estimate No published price to estimate
Founded 2019 1994
Categories Agent Assist & Copilots Contact Center & CCaaS QA & Conversation Analytics Contact Center & CCaaS Enterprise QA & Conversation Analytics
Channels
Chat ✓ ✓
Email ✓ ✓
Voice ✓ ✓
SMS — ✓
Social ✓ ✓
Compliance (vendor-claimed)
SOC 2 ✓ Not verified
HIPAA ✓ Not verified
GDPR ✓ Not verified
ISO 27001 ✓ Not verified
PCI DSS ✓ Not verified
Data residency Not verified Not verified
Languages 50+ languages 40+ languages
What the AI can do
Takes actions ✓ ✓
Hands off to a human Not verified ✓
Choice of LLM Not verified ✓
Buying
Free trial Not verified Not verified
How you buy Not verified Not verified
Minimum commitment — —
Company Independent, venture-backed Acquired by Calabrio (November 2025)
Works with Genesys NICE CXone Five9 Talkdesk Salesforce Zendesk Five9 Genesys Cloud Amazon Connect Zoom Contact Center Salesforce Service Cloud AWS Google Cloud
Key features
  • 100% automated QA scoring
  • AI virtual voice agents
  • Real-time agent assist
  • Voice-of-customer insights
  • Agent screen recording
  • Da Vinci AI bot factory
  • Voice and digital containment bots
  • Real-time agent knowledge suggestions
  • Workforce management and scheduling
  • Multilingual transcription and analytics
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Estimates assume 5,000 conversations a month, 60% handled by AI and 10 agent seats, at each vendor's published list price (the cost calculator's model); treat them as a floor, not a quote. Compliance rows are what vendors publicly claim, and “Not verified” means we have not confirmed that fact yet, not that the tool lacks it.

Choose Level AI or Verint?

Choose Level AI if

Best for: Contact centers on Genesys, NICE CXone, Five9 or Talkdesk that want QA scored on meaning rather than keywords across chat, email, voice and social, plus agent assist, voice-of-customer analytics and virtual agents, with SOC 2, HIPAA, GDPR, ISO 27001 and PCI DSS coverage.

  • you need agent-assist copilots for human reps

Look elsewhere if you are a small team or want published pricing: Level AI is quote-based with no trial or self-serve start, and it pays off at the conversation volumes where sampled QA breaks down.

Choose Verint if

Best for: Large contact centers that want workforce management, quality management and interaction analytics with containment bots, agent knowledge suggestions and their own choice of LLM layered on top, across chat, email, voice, SMS and social in 40+ languages, on Five9, Genesys, Amazon Connect or Zoom.

  • you need enterprise scale, security, and compliance
  • you need SMS coverage

Look elsewhere if you want published pricing or stated compliance and residency: Verint is quote-based, its verified compliance and residency fields are blank, and since November 2025 it is a Thoma Bravo company merged with Calabrio, so ask about the combined roadmap.

About Level AI

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 →

About Verint

Verint calls itself the CX Automation Company, and the pitch is specific: an open platform where Da Vinci AI acts as a bot factory, turning a mix of proprietary, commercial, and generative models into a team of specialized bots. A containment bot answers customers directly on voice and digital channels, a knowledge suggestion bot feeds agents context-specific answers mid-call, a transcription bot covers more than 80 languages, and an intent discovery bot mines conversations for automation opportunities. Around the bots sits the classic Verint stack: workforce management, quality management, interaction analytics, and knowledge management.

The company has been at this longer than most. It started in 1994 as a Comverse Technology subsidiary, took the Verint name at its 2002 IPO, and grew into a workforce engagement giant based in Melville, New York, claiming roughly 10,000 customers in more than 175 countries and over 80 percent of the Fortune 100. In November 2025 the story changed: Thoma Bravo took Verint private in a 2 billion dollar deal and merged it with Calabrio, its other workforce engagement portfolio company, under the Verint name. Customer case studies name Capitec Bank, MSC, and Neo BPO.

Pricing is quote-based, full stop. Verint publishes no platform price list, and while third-party sites float per-user estimates for individual modules like workforce management or knowledge, none of those numbers come from Verint itself. Expect named-user or consumption licensing negotiated per module, with private offers available through AWS Marketplace. Budget for an enterprise sales cycle.

Choose Verint if you run a large contact center and want AI layered onto whatever telephony you already own: it plugs into Five9, Genesys Cloud, Amazon Connect, and Zoom Contact Center rather than replacing them, and it bundles workforce management and quality in the same platform. Skip it if you are a small team that wants transparent pricing and a self-serve start, or if you would rather buy a simple standalone support bot than adopt an entire platform.

Read the full Verint listing →  ·  See Verint alternatives →

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