Collect Video Testimonials That Build Trust
Level AI
AI-native customer experience intelligence platform offering semantic Auto QA, voice analytics, and real-time agent assist.
About Level AI
Level AI is an advanced contact center intelligence platform engineered to replace legacy quality assurance workflows. Founded by former Amazon Alexa conversational AI leaders, the platform utilizes proprietary semantic AI to auto-score nearly 100% of customer interactions across voice, chat, and email channels.
Instead of relying on rigid keyword matching, Level AI understands conversational intent and context, translating vast amounts of unstructured interaction data into precise QA scores, targeted coaching opportunities, and deep business insights. The platform ensures that QA teams can build highly dynamic scorecards that automatically adapt to specific call types, allowing for a much fairer and more accurate assessment of agent performance.
Key Features
- Semantic Auto QA: Automatically scores interactions across all channels using intent-based AI rather than simple keyword spotting.
- Real-Time Agent Assist: Monitors live conversations to surface relevant knowledge base articles and compliance alerts.
- Voice of the Customer (VoC): Extracts actionable business insights, product feedback, and sentiment trends from conversational data.
- Custom Scorecards: Allows QA teams to build dynamic evaluation rubrics that adapt to specific call types and customer intents.
- AI Virtual Agent: Deployable conversational AI to handle routine inquiries and assist with ticket deflection.
Pricing
-
Custom Enterprise Quoting: Level AI operates on an enterprise quote model based on agent headcount, interaction volume, and module selection. They do not publish standard pricing.
-
Estimated Seat Cost: Third-party market estimates suggest pricing may start around $185 per agent per month for comprehensive access.
-
Module-Based Structure: Capabilities like Auto QA, Agent Assist, and VoC are often priced as separate modules, requiring a tailored scoping process.
Use Cases
- Mid-market to Enterprise support teams
- Multi-channel QA automation
- Real-time compliance monitoring
- Customer feedback analysis
Pros & Cons
Pros:
- Utilizes advanced semantic AI to understand the meaning behind conversations, reducing false positives in QA scoring.
- Offers strong multi-channel support, analyzing voice, chat, and email with equal depth.
- Surfaces deep Voice of the Customer insights that benefit product and marketing teams, not just QA.
Cons:
- Opaque, module-based pricing can lead to budget overruns if not scoped carefully during procurement.
- The AI requires a calibration period and scorecard tuning to achieve high accuracy in specialized environments.
Integrations
Salesforce, Zendesk, Kustomer, Intercom, Genesys, Five9, Talkdesk, Twilio
FAQ
What makes Level AI different from traditional QA tools?
Level AI uses semantic AI models to understand the actual intent and meaning behind conversations, rather than relying on exact keyword spotting, which significantly improves scoring accuracy.
Does Level AI work with email and chat?
Yes, Level AI provides true multi-channel analysis, seamlessly scoring unstructured data across voice, email, and live chat interactions.
Can Level AI help with agent onboarding?
Yes, the Real-Time Agent Assist module acts as a live copilot, guiding new hires through complex interactions and surfacing knowledge base articles automatically.
Is pricing published?
No, pricing is custom and based on seat count, interaction volume, and the specific modules (Auto QA, VoC, Agent Assist) selected.
What is Semantic Auto QA?
Semantic Auto QA is the platform's ability to score interactions based on the contextual meaning of phrases. For example, it understands the difference between a customer inquiring about a cancellation policy versus actually requesting to cancel.
Last edited
October 31, 2026 at 8:17 PM by Venkatraman Chandrasekaran
Similar to Level AI
