# Cresta vs Level AI

Cresta records 167,945 monthly visits with +15.5% month-over-month growth and Contact for Pricing pricing. Level AI records 50,549 monthly visits with +7.7% growth and Contact for Pricing pricing.

| Metric | [Cresta](https://openaitools.app/tool/cresta) | [Level AI](https://openaitools.app/tool/level-ai) |
| :--- | :--- | :--- |
| Website URL | https://cresta.com | https://thelevel.ai |
| Categories | AI Call Center, AI Agent, AI Customer Service, AI Copilot | AI Call Center, AI Customer Service, AI Agent, AI Coaching |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 167,945 | 50,549 |
| MoM Growth Rate | +15.5% | +7.7% |
| Primary Market | United States | United States |
| Direct Visits | 74,822 | 32,707 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 2 | 1 |
| Supported Platforms | Website | Website |

## Cresta

Cresta is an enterprise platform that applies AI across the full customer contact lifecycle. Rather than selling a single point solution, it combines autonomous AI agents, real-time assistance for human agents, conversation intelligence and quality management into what the company calls an AI operating system for CX. The stated goal is to improve both customer experience and revenue outcomes in the same system.

The product line splits into three main directions. AI Agent handles conversations autonomously, while Deputy Agent is a longer-running agent built for operations work that spans multiple steps and systems. Agentic Assist augments human agents in real time with guidance and generated responses, and Conversation Intelligence analyzes every interaction for insights, coaching and quality scoring. Supporting these are platform pieces like the no-code Opera orchestration engine, an AI Receptionist, synthetic customer personas built from real conversations and an AI Analyst that writes reports on top of conversation data.

Cresta targets large contact centers across travel, financial services, insurance, healthcare, retail and telecommunications, and publishes case studies with named brands. Because it is sold to enterprises, there is no public price list - interested teams book a demo and get a quote based on their deployment scope, which is typical for CCaaS and conversation-intelligence platforms at this scale.

**Pricing & Plans:** Contact for pricing. Cresta does not publish list prices; commercial terms are quoted per enterprise deployment, so you need to book a demo to get a proposal.

- **Autonomous AI agents:** Deploy agents that handle customer conversations end to end, with Deputy Agent automating work from intent to completion across long-running operational tasks.
- **Agentic Assist for human agents:** Give live agents real-time guidance, next-best actions and generated responses during the conversation, so quality does not depend on who picks up the call.
- **Conversation intelligence:** Analyze every interaction to surface trends, spikes, quality gaps and coaching opportunities across your entire contact volume.
- **Opera orchestration engine:** A no-code AI orchestration layer that lets teams build, test, deploy and optimize agents without deep engineering work.
- **AI Analyst reporting:** An AI analyst that reads across conversations and produces reports, for example flagging a 50% spike in one topic, ready to share with product teams.

**Strengths:** Covers autonomous agents, human agent assist, intelligence and coaching in one platform; Case studies with recognized enterprise brands and quantified outcomes; No-code orchestration lowers the barrier to building and iterating agents; Integrates with existing contact center systems rather than requiring a rip-and-replace

[Profile (Markdown)](https://openaitools.app/tool/cresta.md)

## Level AI

Level AI targets the operational reality of high-volume, high-stakes customer service organizations: contact centers, BPOs, regulated industries, and enterprise support teams. Rather than bolting a generic LLM onto a transcript feed, it runs its own family of customer-experience-specific models — marketed as Level AI Latitude — which the company says handle specialized CX tasks with accuracy comparable to frontier LLMs at a fraction of the cost. The result is a single intelligence layer that spans auto-QA scoring, agent assist, agent screen recording, voice-of-the-customer analytics, and virtual agents that can triage and resolve requests.

The platform's central idea is shared intelligence: human agents, managers, and AI agents all operate from the same rubrics, evaluations, and learning loop. Every scored interaction feeds back into calibration and training, so quality standards stay consistent across teams and geographies. Managers get real-time visibility into which conversations passed policy checks and which need intervention, while leadership gets trend-level insight into customer effort, sentiment, and emerging issues.

Level AI is aimed squarely at enterprise procurement: pricing is not published and starts with a demo request. The company has announced an agreement to be acquired by Five9, a major contact center software vendor, which signals continued operation and investment in the product. Teams evaluating it should expect a configuration and integration project rather than a self-serve signup.

**Pricing & Plans:** Enterprise pricing is not published; Level AI uses a contact-for-pricing model with a scheduled demo. No self-serve tiers or public rates are listed.

- **Automated quality assurance:** Scores 100% of interactions across channels against configurable rubrics, replacing manual sampling-based QA with full coverage.
- **AI virtual agents and AI workers:** Deploy conversational agents for triage and resolution, plus task-specific AI workers that execute complex back-office and CX workflows.
- **Agent coaching and assist:** Generates personalized coaching plans and surfaces real-time guidance to agents during live conversations.
- **Voice of the Customer analytics:** Extracts themes, sentiment, effort scores, and iCSAT signals from every interaction to inform CX strategy and product decisions.
- **CX-specific model stack:** Level AI Latitude provides domain-tuned models for contact center tasks, positioned as faster and more cost-efficient than general-purpose LLM wrappers.

**Strengths:** Full-coverage AI QA instead of statistical sampling; Purpose-built CX models rather than a thin LLM wrapper; Covers automation, quality, coaching, and analytics in one platform; Enterprise-grade security posture and integrations with major contact center stacks

**Limitations:** No public pricing or free trial; sales-led evaluation only; Implementation and integration effort required before value is realized; Best fit for large, high-volume operations rather than small support teams

[Profile (Markdown)](https://openaitools.app/tool/level-ai.md)

## Frequently Asked Questions

### How do Cresta and Level AI compare in monthly traffic?

Cresta has 167,945 monthly visits, while Level AI has 50,549. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cresta has a month-over-month growth rate of +15.5%; Level AI has +7.7%.

### How does pricing compare?

Cresta: Contact for Pricing. Contact for pricing. Cresta does not publish list prices; commercial terms are quoted per enterprise deployment, so you need to book a demo to get a proposal. Level AI: Contact for Pricing. Enterprise pricing is not published; Level AI uses a contact-for-pricing model with a scheduled demo. No self-serve tiers or public rates are listed.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | AI-first customer service with a natively integrated AI agent | [.md](https://openaitools.app/tool/intercom-com.md) |
| 2 | [Dialpad](https://openaitools.app/tool/dialpad) | 2,763,687 | +10.7% | Paid | The AI platform for customer experience and business communications | [.md](https://openaitools.app/tool/dialpad.md) |
| 3 | [JustCall](https://openaitools.app/tool/justcall) | 780,285 | +11.8% | Paid | AI communication platform for sales and support teams | [.md](https://openaitools.app/tool/justcall.md) |
| 4 | [Kapture CRM](https://openaitools.app/tool/kapturecrm-com) | 561,153 | -0.7% | Contact for Pricing | AI-powered customer experience platform unifying support, sales, and service | [.md](https://openaitools.app/tool/kapturecrm-com.md) |
| 5 | [Sierra](https://openaitools.app/tool/sierra) | 341,072 | +16.4% | Contact for Pricing | Builds advanced autonomous enterprise service agents, but focuses less on real-time human agent co-pilot guidance during calls. | [.md](https://openaitools.app/tool/sierra.md) |
| 6 | [PolyAI](https://openaitools.app/tool/poly-ai-ai) | 319,894 | +24.3% | Contact for Pricing | Enterprise voice AI that resolves customer conversations | [.md](https://openaitools.app/tool/poly-ai-ai.md) |
| 7 | [Glassix](https://openaitools.app/tool/glassix) | 300,739 | +6.6% | Free Trial, Paid, Contact for Pricing | Unifies omnichannel customer messaging with AI resolution agents, but has less advanced enterprise quality assurance analytics than Cresta. | [.md](https://openaitools.app/tool/glassix.md) |
| 8 | [[24]7.ai](https://openaitools.app/tool/247-inc-com) | 273,001 | -4.5% | Contact for Pricing | AI-powered omnichannel customer experience and contact center platform | [.md](https://openaitools.app/tool/247-inc-com.md) |
| 9 | [Decagon AI](https://openaitools.app/tool/decagon-ai) | 264,397 | -5% | Contact for Pricing | Scales natural-language concierge support agents effectively, but offers less specialized real-time coaching for live contact center staff. | [.md](https://openaitools.app/tool/decagon-ai.md) |
| 10 | [Bland AI](https://openaitools.app/tool/bland-ai) | 243,601 | +7.4% | Paid, Contact for Pricing | Enterprise voice AI agents that handle your most regulated phone calls | [.md](https://openaitools.app/tool/bland-ai.md) |

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Source: https://openaitools.app/compare/cresta-vs-level-ai

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