If you’ve tried to find Level AI’s pricing page, you know it doesn’t exist. You sat through a sales demo hoping for a number. You received a custom quote with modules you still don’t understand. Enterprise contact center AI pricing can feel like negotiating in the dark.
Level AI has built a CX intelligence platform that processes over 1 billion customer interactions per year with proprietary AI models designed for contact center work. The platform spans automated QA, real-time agent assist, coaching, Voice of the Customer analytics, AI virtual agents, and an AI Workers suite for back-office automation.
But Level AI sells only through sales-assisted contracts, with no public pricing, no self-serve sign-up, and no free trial. Buyers cannot evaluate cost before committing to a multi-week sales process.
We’ve analyzed Level AI’s product capabilities, contract structure, and competitive positioning. It’s the right choice if:
- You run a large enterprise contact center (200+ agents) needing a single platform for QA, coaching, VoC, and AI virtual agents
- Your compliance requirements span CFPB, HIPAA, PCI, and TCPA and you need 100% interaction monitoring
- You want AI virtual agents and human agent QA governed under one quality standard
- You have the budget and procurement runway for a custom enterprise contract
- You want a platform with proprietary, domain-specific AI models running on owned GPU infrastructure
Level AI might not be a good choice if:
- You want published pricing you can evaluate before entering a sales process
- You’re a mid-market contact center (50 to 500 agents) looking for fast deployment without lengthy contract negotiations
- Your primary need is quality assurance and coaching, not a full CX platform with virtual agents and AI Workers
- You prefer a CCaaS-agnostic QA layer that doesn’t require committing to an all-in-one vendor
- You need to go live in weeks, not months, with minimal configuration overhead
In this case, consider evaluagent: a contact center quality assurance and performance management platform with published pricing starting at $35 per user per month, published AI agent pricing, and a focused design that scores 100% of interactions and connects findings to coaching without requiring you to buy an entire CX suite.
We’ve included a detailed pricing comparison with evaluagent in this review. If you’re eager to jump into the evaluagent pricing breakdown, go ahead and do so with this link.
Level AI Pricing Summary
| Level AI | evaluagent | |
|---|---|---|
| Pricing Model | Custom enterprise quotes; no public pricing | Published per-user/month pricing |
| Entry Point | Sales demo required; no self-serve option | From $35/user/month (AutoQM & Improvement) |
| Full Platform | Custom contract covering selected modules (QA, coaching, VoC, agent assist, virtual agents, AI Workers) | From $65/user/month (AutoQM + Conversation Intelligence) |
| AI Agent Pricing | Not disclosed publicly | Published; from $0.05 (AutoQM) and $0.13 (Full Bundle) |
| Free Trial | No free trial or free plan available | Demo-based evaluation with dedicated CSM |
| Contract Terms | Negotiated; typically annual or multi-year | Negotiated per Order Form with volume discounts |
| Best For | Large enterprises (200+ agents) wanting a CX platform spanning QA, coaching, virtual agents, and analytics under one contract | Mid-market to enterprise contact centers (50 to 500 agents) wanting transparent QA and coaching pricing with fast deployment |
Level AI Pricing: In-Depth Overview
Level AI uses a custom, sales-negotiated pricing model with no published rates, no pricing page, and no self-serve purchasing option. The company’s End User License Agreement classifies pricing as Confidential Information, and sales teams negotiate all commercial terms through individual Sales Agreements.
This fits Level AI’s enterprise positioning: the platform is trusted by enterprises serving 1B+ people and $500B+ in combined market cap, and the typical buyer is a VP of CX or Director of Quality Assurance running hundreds to thousands of agents.
Why Level AI Doesn’t Publish Pricing
Level AI’s product spans three pillars, each containing multiple modules:
CX Strategy: Auto-QA, Voice of the Customer, Analytics, iCSAT, AI Workers
CX Delivery: Coaching, Agent Assist, Agent Screen Recording, AgentGPT, AI Virtual Agent
AI Core: Full Stack AI platform, Voice AI, Speech Recognition, Integrations
Buyers typically select a subset of these modules based on their needs, so a single price list would be misleading. A contact center buying only Auto-QA and Coaching pays a different amount than one deploying Auto-QA, AI Virtual Agents, Voice AI, and the full analytics suite.
This modular structure benefits large enterprises with specific needs but creates friction for mid-market buyers who want to evaluate cost before investing weeks in a sales cycle.
What We Know About Level AI’s Cost Structure
Specific rates are confidential, but the commercial framework is documented:
| Cost Element | What’s Known |
|---|---|
| SaaS License | Covers platform access for selected modules; set in the Sales Agreement |
| Professional Services | Implementation, custom configuration, and training billed separately |
| Support Services | Scoped in the Sales Agreement; tiered support is likely but not publicly detailed |
| Contract Duration | Set per Sales Agreement; liability caps reference 12-month fee periods, confirming annual or multi-year billing |
| Cancellation | No public early-termination policy; terms are contract-specific |
Level AI’s enterprise positioning (the platform is trusted by enterprises serving 1B+ people) and modular contract structure point to significant annual commitments. A mid-market team with 100 agents has no way to estimate a monthly bill without entering a sales process.
Implementation Timeline and Hidden Costs
Level AI’s implementation typically runs 2 to 6 weeks depending on integration complexity and the number of modules deployed. This is faster than legacy speech analytics platforms that often take 6 to 12 months, but longer than platforms that advertise go-live in days.
Additional costs beyond the SaaS license:
- Professional services: Implementation, scorecard configuration, AI calibration, and team training are scoped separately in a Statement of Work
- Integration costs: Connecting to your CCaaS, CRM, and telephony stack may require dedicated engineering effort, particularly for less common platforms
- Ongoing calibration: Level AI’s AI models improve over time through a feedback loop, but the initial calibration period requires QA team involvement to validate automated scoring against your standards
- No public support SLAs: Support terms, response times, and escalation paths are not disclosed and are presumably negotiated per contract
Where Level AI Falls Short
Level AI delivers enterprise-grade CX intelligence, but its commercial model and product design create challenges for certain buyers:
Complete Pricing Opacity
- No published pricing, no pricing page, and no way to estimate costs before engaging with sales
- Pricing is contractually classified as confidential information, preventing customers from sharing rates even informally
- Mid-market buyers cannot self-qualify on budget, wasting time in sales cycles that may not result in a viable deal
- Competing platforms publish starting rates, letting buyers shortlist vendors before committing to demos
All-or-Nothing Platform Scope
- The platform bundles QA, coaching, VoC, agent assist, virtual agents, and AI Workers into one interconnected system
- Contact centers that mainly need quality assurance and coaching must evaluate (and often pay for) a broader platform than their use case requires
- This scope can extend implementation timelines and increase total cost beyond what a focused QA deployment would require
Implementation Investment Before Value
- The 2 to 6 week implementation window requires planning, IT coordination, and QA team involvement
- AI calibration and scorecard validation add pre-launch overhead that some teams may not anticipate
- Competitors with narrower scope can deliver initial value faster, particularly for teams with urgent QA coverage gaps
Smaller Integration Ecosystem
- Level AI is a Series C company with approximately 212 employees and $73.1M in total funding
- The integration catalog covers major CCaaS platforms (Five9, Genesys, Amazon Connect, Talkdesk, RingCentral) and CRMs (Salesforce, Zendesk), but is thinner than enterprise incumbents
- No iPaaS connectors (Zapier, Make, Workato) are documented, limiting connectivity for teams using less common platforms
- Teams on niche telephony or helpdesk systems may face custom integration work
These limitations have led many contact center teams, particularly in the mid-market, to explore alternatives with transparent pricing, focused QA capabilities, and faster deployment.
Best Level AI Alternative: evaluagent
evaluagent delivers AI-powered quality assurance and performance management with published pricing, dedicated AI agent observability, and a focused design that gets contact centers from evaluation to go-live in weeks.
If Level AI’s pricing opacity frustrates you, its platform scope exceeds your needs, and its implementation timeline runs longer than you’d like, evaluagent offers a direct solution: per-user pricing starting at $35/user/month, AI agent pricing from $0.05, and a quality-to-coaching workflow that scores 100% of interactions and connects findings to coaching, performance plans, and gamification.
Series A-backed and established for over a decade, evaluagent was named #17 in G2’s Top 50 UK Software Companies 2026 (the only contact center software on the list) and a Leader in Contact Center Quality Assurance in G2’s Summer 2026 report, rankings based on verified customer reviews rather than analyst briefings.
The platform serves regulated industries including financial services, insurance, gambling, and travel across Europe, North America, and Asia-Pacific, with ISO 27001:2022, SOC 2 Type II, Cyber Essentials Plus, HIPAA-aligned, and GDPR-compliant certifications.
evaluagent AutoQM & Improvement: From $35/user/month
| Feature | Details |
|---|---|
| Price | From $35/user/month |
| Coverage | 100% of conversations scored automatically |
| Channels | Voice, chat, and email |
| Coaching | 1-to-1s, performance plans, gamification, eLearning |
| AI Agent QA | Bot scoring, containment analysis, handover tracking |
| Security | SSO, MFA, role-based access control included |
| Onboarding | Dedicated CSM and structured onboarding included |
The AutoQM & Improvement tier includes the full quality assurance and performance management workflow: automated scoring via the Context Engine, blended human-plus-AI scorecards, calibration sessions, agent disputes, coaching workflows, performance plans with audit trails, and gamification with points, badges, and an eBay-style reward auction.
This tier also includes basic AI agent QA: bot scoring, containment analysis, handover tracking, and fabrication detection.
| AutoQM & Improvement | |
|---|---|
| Pros | Cons |
| – Published pricing from day one | – No Conversation Intelligence features |
| – 100% conversation coverage | – Volume discounts require negotiation |
| – Coaching and gamification included | – Contract terms set per Order Form |
| – Dedicated CSM at every tier | – No real-time agent assist capability |
Capital on Tap scaled from 900 to 6,000 BDM checks per month after go-live without adding headcount, using evaluagent’s automated scoring to maintain coverage during rapid growth. (Capital on Tap Case Study)
evaluagent AutoQM + Conversation Intelligence: From $65/user/month
| Feature | Details |
|---|---|
| Price | From $65/user/month |
| Everything in Tier 1 | Included |
| Reason for Contact | Automated detection across all interactions |
| Spotlight | On-demand AI analyst for root-cause investigation |
| Predictive Metrics | xNPS, xCSAT, xResolution, xVulnerability |
| Sentiment Analytics | Conversation-level scoring and trend tracking |
| Custom Topics | No-code builder with testing console |
The Full Bundle adds evaluagent’s Conversation Intelligence suite on top of AutoQM & Improvement.
This includes automated reason-for-contact classification, AI-generated conversation summaries, sentiment analytics, predictive Voice of the Customer metrics derived from 100% of interactions rather than survey response rates, and the Spotlight tool that analyzes up to 1,000 conversations on demand and returns prioritized findings with evidence excerpts.
| AutoQM + Conversation Intelligence | |
|---|---|
| Pros | Cons |
| – Full QA plus analytics in one price | – Higher per-user cost |
| – Predictive VoC without survey dependency | – Still no real-time agent assist |
| – Spotlight for on-demand investigation | – No AI virtual agent capability |
| – No-code custom topic builder | – Conversation Intelligence adds complexity |
Seasalt Cornwall doubled evaluations and reduced agent attrition from 100% to 10% year-on-year after implementing evaluagent’s coaching and performance management workflows. (Seasalt Cornwall Case Study)
evaluagent AI Agent Observability: From $0.05/conversation
| Tier | Price | What’s Included |
|---|---|---|
| AutoQM for AI Agents | From $0.05/conversation | Independent bot QA scoring, containment analysis, handover tracking, fabrication detection |
| Full Bundle for AI Agents | From $0.13/conversation | AutoQM plus Conversation Intelligence on AI agent traffic |
evaluagent’s AI Agent Observability module evaluates every AI agent conversation against the same quality standard applied to human agents. It operates independently of the bot vendor, scoring conversations from Cognigy, Sierra, Decagon, or proprietary bots with cross-vendor consistency. Pricing is published on the evaluagent pricing page.
| AI Agent Observability | |
|---|---|
| Pros | Cons |
| – Published AI agent pricing | – Requires a seat tier as prerequisite |
| – Vendor-independent bot scoring | – Cannot be purchased standalone |
| – Fabrication detection grounded in your knowledge base | – Pricing scales with AI agent volume |
| – Quality history stays with you if you switch bot vendors | – Limited to post-interaction evaluation |
evaluagent Additional Cost Considerations
Beyond the published pricing, buyers should understand evaluagent’s broader commercial structure:
| Cost Element | Details |
|---|---|
| Volume Discounts | Available for large teams; thresholds negotiated per customer |
| Onboarding | Dedicated CSM and structured onboarding included in both tiers |
| Implementation | Most organizations go live in weeks, with a dedicated onboarding team |
| Third-party Costs | Customer is responsible for CCaaS/CRM API credentials and licenses |
| Support | Email helpdesk (9am to 5pm UK time, Monday to Friday); 99.5% uptime SLA |
Level AI Feature Value Breakdown (vs evaluagent)
Pricing Transparency and Buyer Experience
Level AI’s Approach: Level AI requires every buyer to enter a sales-assisted process before learning what the platform costs. No pricing page exists, no starting rates are published, and the EULA classifies pricing as confidential.
This model works for large enterprises with dedicated procurement teams but creates friction for mid-market buyers who need budget visibility before committing to a multi-week evaluation. Implementation typically takes 2 to 6 weeks with professional services billed separately.
evaluagent’s Approach: evaluagent publishes starting prices on its pricing page: $35/user/month for AutoQM & Improvement, $65/user/month for the Full Bundle, and $0.05 to $0.13/conversation for AI agent QA. Both tiers include a dedicated CSM and structured onboarding. Volume discounts are available for larger teams, and most organizations go live in weeks.
Quality Assurance Coverage and Accuracy
Level AI’s Approach: Level AI’s Auto-QA runs on QA-GPT, a scoring model designed for contact centers that handles over 90% of scorecard criteria automatically, including subjective and open-ended questions.
The system includes a secure accuracy sandbox for pre-deployment validation, transparent evidence and reasoning for every scored answer, and integration with Agent Screen Recording for scoring what agents do on-screen alongside what they say.
evaluagent’s Approach: evaluagent’s AutoQM scores 100% of conversations automatically using the Context Engine, which grounds AI scoring in company-specific policies, knowledge base content, and compliance rules. SmartScore provides AI scoring of qualitative line items with transparent reasoning.
A Testing Console lets QA managers validate any scoring change against real conversations before going live. Blended Scorecards let some criteria be scored by AI and others reserved for human evaluators on the same scorecard.
Coaching and Performance Improvement
Level AI’s Approach: Level AI’s Coaching product surfaces coaching opportunities from the full interaction pool, with AI Workers that can identify performance issues and recommend priorities.
Managers build structured coaching plans linked to specific conversation examples, with session history and progress tracked centrally. The coaching workflow sits within Level AI’s broader platform, so buyers must invest in the full CX suite to access it.
evaluagent’s Approach: evaluagent connects QA scores directly to coaching sessions, 1-to-1s, eLearning, performance improvement plans, and gamification within the same platform, without requiring separate modules or additional purchases. Performance Plans create HR-ready documentation with full audit trails.
The gamification layer includes points, badges, leaderboards, and an eBay-style reward auction, a distinctive engagement mechanic beyond standard coaching. The Share Centre cut evaluation time from 24 minutes to 6 minutes, a 285% increase in QA productivity.
AI Agent Governance
Level AI’s Approach: Level AI scores virtual agent conversations against the same rubrics as human agents through its QA framework. The platform also builds and deploys AI virtual agents natively, meaning the same system that creates the bot also evaluates it. This creates a closed loop but raises a question about independence: the vendor scoring the bot is also the vendor that built it.
evaluagent’s Approach: evaluagent’s AI Agent Observability is independent from the bot layer. It sits above any bot platform (Cognigy, Sierra, Decagon, or proprietary builds) and evaluates conversations against the organization’s own quality definitions, not the bot vendor’s metrics.
Fabrication detection is grounded in the organization’s own knowledge base. Conversation history and quality data sit in evaluagent, not in the bot platform, so switching bot vendors doesn’t mean losing your quality record.
evaluagent positions its AI Agent Observability as an independent second opinion: “Don’t solely rely on your bot vendor’s metrics.” (evaluagent AI Agents)
Platform Scope and Integration Flexibility
Level AI’s Approach: Level AI offers a platform spanning QA, coaching, VoC, agent assist, AI virtual agents, and AI Workers. The Full Stack AI platform runs seven proprietary domain-specific models on owned GPU infrastructure, reporting 49x cost reduction, 3.5x higher throughput, and 4x lower latency compared to general-purpose LLM approaches.
Integrations cover major CCaaS platforms (Five9, Genesys, Amazon Connect, Talkdesk, RingCentral), CRMs (Salesforce, Zendesk), and SSO providers (Okta, Azure AD). No iPaaS connectors are documented.
evaluagent’s Approach: evaluagent focuses on quality assurance, conversation intelligence, and AI agent observability, positioning itself as CCaaS-agnostic: “Any CCaaS. Any CRM. Any AI agent provider. No lock-in.”
Native integrations include Zendesk, Salesforce, Genesys, Five9, Amazon Connect, Freshdesk, RingCentral, Talkdesk, Intercom, Puzzel, Aircall, Assembled, and Peopleware. evaluagent does not offer real-time agent assist, AI virtual agents, or an LMS for agent-facing content beyond its built-in eLearning module. Neither platform documents iPaaS connectors.
Final Verdict: Level AI vs evaluagent
The choice between Level AI and evaluagent comes down to scope and pricing visibility:
Level AI is a CX intelligence platform designed for large enterprise contact centers that want to consolidate QA, coaching, VoC analytics, real-time agent assist, AI virtual agents, and back-office AI Workers under a single proprietary AI architecture.
With custom pricing negotiated per contract, it lets organizations running hundreds to thousands of agents deploy a platform where seven domain-specific models process every interaction and feed a continuous improvement loop. This enterprise-only model suits buyers with dedicated procurement teams, multi-year budget planning, and operational complexity that demands the full platform.
evaluagent is a focused quality assurance and performance management platform built on published pricing, designed for contact centers that need 100% conversation coverage and a direct path from QA scores to coaching outcomes without buying an entire CX suite.
By offering AutoQM & Improvement from $35/user/month and AI Agent Observability from $0.05/conversation, it lets mid-market and enterprise teams plan budgets before entering a sales process, deploy in weeks with a dedicated CSM, and maintain a CCaaS-agnostic architecture that avoids vendor lock-in.
This makes it the stronger choice for regulated industries needing fast deployment, BPOs managing multi-client QA programs, and any contact center that believes quality governance should be independently priced and independently operated.
Get started with evaluagent here.
The difference is not just features but commercial philosophy. Level AI asks “How can we put every CX function under one proprietary platform?” evaluagent asks “How can we make quality assurance transparent, independent, and fast to deploy?”