Cresta pricing 2026: A complete breakdown and a better alternative

Disclosure: This article is published by eesel AI, a competitor of Cresta. We encourage you to read Cresta's own materials for their perspective.

If you've been trying to find Cresta pricing, you've run into the same wall most people do: no pricing page, just a demo request form. That is standard practice for enterprise contact-center software, and it reflects how Cresta is sold - through a consultative process rather than a self-serve checkout. This guide covers what is actually in the public record, how to read those numbers accurately, and what a transparent alternative looks like.

What is Cresta?

Cresta is an AI-native platform for enterprise contact centers. The product family spans four main areas: AI Agent for autonomous handling of voice, chat, and SMS; Agent Assist for real-time guidance to human agents; Conversation Intelligence for analytics, quality management, and coaching; and Knowledge Agent, a real-time knowledge co-pilot launched in March 2026.

Founded in 2017 at Stanford's AI Lab, Cresta is backed by a16z, Sequoia, Greylock, and Tiger Global, and surpassed $100M ARR in 2026. Named customers include United Airlines, Cox Communications, Marriott, Hilton, Snap Finance, Propel Holdings, and Intuit.

Cresta's product lineup

AI Agent

Cresta AI Agent handles inbound interactions autonomously across voice, chat, and SMS in 30+ languages. It integrates with existing telephony and CRM stacks via API and MCP function calling rather than replacing them. Cresta publishes customer results for this product: Snap Finance saw a 5.5x higher containment rate and 23% higher CSAT; Xanterra reports a 74% containment rate and $3.3M revenue lift.

Agent Assist

Agent Assist surfaces real-time guidance during live calls or chats - behavioral hints, compliance reminders, auto-generated summaries, and predictive text to speed response drafting. G2 reviewers consistently name this the most valuable part of their Cresta deployment.

"Cresta real-time coaching with representatives has improved productivity with the middle of the pack members. Representatives are getting prompts real-time to improve conversations without waiting for call reviews with a manager. Seen B players rising up the ranks."

• Chad S., University Director of Admissions, G2

Conversation Intelligence

Conversation Intelligence covers Insights, AI Analyst, Quality Management, and Coach. The Quality Management product auto-scores 100% of conversations using generative AI behavioral models. Cresta's own marketing page explicitly contrasts this with "keyword-based detection," positioning its approach as giving "a true-to-life picture that random sampling and keyword-based detection can't match."

One Cox Communications director put the analytics value in concrete terms: "It used to take me 6 weeks and more than $100,000 to get this information. Cresta is now doing this in real-time and it's completely transformative."

Knowledge Agent

Knowledge Agent, launched March 2026, is a persistent browser sidebar that listens to live conversations and surfaces relevant knowledge-base content without the agent needing to search manually.

Integrations

Cresta is designed as a layer on top of existing stacks, not a replacement for them. It connects with helpdesks (Zendesk, Salesforce, ServiceNow, Microsoft Dynamics, HubSpot, Oracle, Zoho, Pega) and telephony platforms (Five9, NICE, Genesys, Avaya, Cisco, Twilio, Amazon Connect, LivePerson). This means it works alongside your system of record rather than asking you to migrate away from it.

Cresta pricing: what the public record shows

Cresta does not publish pricing. The URL https://cresta.com/pricing returns a 404 (verified May 2026). Every product page - AI Agent, Agent Assist, Conversation Intelligence, Knowledge Agent - routes every inquiry to a "Get a demo" form. G2 confirms this independently: "Pricing details for this product isn't currently available. Visit the vendor's website to learn more."

The only publicly visible price points are on AWS Marketplace, under the Cresta Intelligence seller listing. Before reading those figures, it is worth understanding what they represent: AWS Marketplace listings cover Agent Assist only (chat and voice channels) for buyers who choose to procure via AWS on a 12-month contract. They are not Cresta's own pricing page, and they do not cover AI Agent, Conversation Intelligence, Quality Management, Coach, AI Analyst, or Knowledge Agent.

With that framing, the AWS Marketplace listing shows the following:

Overages beyond those thresholds are charged at $1.20 per chat and $1.50 per call. Cresta's own note on the listing: "For custom pricing, EULA, or a private contract, please contact partners@cresta.ai for a private offer."

For everything beyond Agent Assist - AI Agent, Quality Management, Analytics, Knowledge Agent - pricing is not publicly disclosed. The only path is a conversation with Cresta's sales team.

Getting started with Cresta

Because all CTAs on cresta.com lead to a demo request, the procurement path for any Cresta product runs through their sales team. Cresta describes itself on the AWS listing as "a white glove partner for AI transformation in the contact center" and states they provide "comprehensive implementation, training, and customer success services."

No specific implementation timeline appears on any public Cresta page. One G2 reviewer (Chad S., September 2025) described the tuning process from the customer side: "You have to have patience and really a dedicated person who is almost an AI linguist once you figure it out everything changes but pack patience once you have it down its amazing." That is one customer's experience, not a figure Cresta publishes for the typical deployment.

What users say about Cresta

G2 gives Cresta 4.2 out of 5 across 43 reviews, with 87% of reviewers coming from mid-market or enterprise organizations.

Real-time coaching is the most praised capability, mentioned positively across nearly every review. The most commonly noted limitation is transcription accuracy, particularly for bilingual callers or those with accented speech. A mid-market reviewer in the entertainment industry noted that "the model used for Cresta's knowledge assist is not very accurate in understanding the overall caller's intent, so the questions/answers it identifies are not relevant." (G2)

The G2 summary across all 43 reviews puts it well: users value call transcripts for review and coaching, and coaching capabilities for agent development, while transcription inconsistency is the most common friction point.

Who is Cresta for?

Cresta's customer page - United Airlines, Cox Communications, Marriott, Propel Holdings, Intuit - is a clear signal of the buyer profile: large enterprise contact centers with the budget for a full sales and implementation engagement, and the organizational bandwidth to configure and tune the AI to their specific call flows.

The results Cresta publishes for those customers are compelling: 58% AI Agent containment at Propel Holdings, 20% revenue increase at Cox Communications, a 30-point NPS gain at Brinks Home, 61% higher collections at Aqua Finance. If your organization fits that profile, those outcomes are worth a conversation with their team.

For teams outside that profile - a mid-market support operation that wants to be running in days rather than months, or a team that wants to see pricing before getting on a call - the model may not match what you need.

A self-serve alternative: eesel AI

eesel AI is built for teams that want to move quickly and stay in control of the process. You connect your helpdesk - Zendesk, Freshdesk, or others - and your knowledge sources (Confluence, Google Docs, and more), then configure your AI Agent in a self-serve setup without a sales conversation.

One feature worth noting for teams new to AI support automation: eesel AI's simulation mode lets you test your configuration against thousands of past tickets in a sandboxed environment before going live. You see exactly how the AI would have responded to real historical tickets, which means you can tune and validate the setup before it touches a real customer.

You can also start narrow - handle one category of simple, high-volume questions first - and expand the scope as you build confidence. If you want to see what that looks like, try eesel AI for free.