What Is Cresta AI? Products, Pricing and Alternatives (2026)

Cresta AI is an enterprise contact-center AI platform, founded in 2017, that coaches human agents in real time, runs autonomous AI agents on voice, chat and SMS, and scores every conversation for QA. It doesn't publish prices: the one public figure is an AWS Marketplace listing at $150,000 for a 12-month Agent Assist contract covering up to 100,000 calls (checked 24 September 2026). It's built for large support and sales orgs with serious call volume, not a self-serve bot you switch on over a weekend.

What is Cresta AI?

Cresta AI is a generative AI platform for contact centers that works in real time: guiding human agents mid-conversation, running fully autonomous AI agents on some interactions, and mining every conversation for analytics, quality and coaching insights. Its homepage calls it "the only unified platform for human and AI agents", and that framing matters: the whole architecture is built so that the same data, models, and analytics flow across everything it does, rather than living in three disconnected tools.

The company has strong pedigree. It was founded in 2017 by Sebastian Thrun (the Stanford professor behind Google's self-driving-car project and co-founder of Udacity) alongside CEO Zayd Enam, Tim Shi, and Andre Esteva (Sacra profile). Headquartered in San Francisco, Cresta has reportedly raised ~$282 million across roughly eight rounds at a reported ~$1.6 billion valuation (per Crunchbase/Tracxn funding trackers, as of 2026). Its most recent raise was reportedly a $125 million Series D in November 2024, co-led by World Innovation Lab (WiL) and the Qatar Investment Authority (QIA), with participation from Accenture, LG Technology Ventures, Qualcomm Ventures, and Workday Ventures, plus returning investors Andreessen Horowitz, Greylock, J.P. Morgan, Sequoia, and Tiger Global (Cresta press release). Sacra estimates Cresta passed $100 million in annual recurring revenue in April 2026 (Sacra), an estimate rather than a company-reported figure. Its customer base skews Fortune 500 (telecom, financial services, travel, hospitality and insurance), and its homepage names customers including United Airlines, Cox Communications, Marriott, Hilton, Intuit and Brinks Home.

The shorthand: Cresta is an enterprise-grade, real-time AI layer for the contact center, with an emphasis on voice.

What products does Cresta AI sell?

Cresta packages its capabilities into a few connected products, which it frames as three pillars (autonomous agents, real-time assist for humans, and conversation intelligence) sharing one underlying system. The homepage navigation today lists AI Agent, Agent Assist, Conversation Intelligence and Quality Management:

• Cresta Agent (AI Agent): an autonomous virtual agent that handles voice, chat, and SMS conversations end-to-end, escalating to a human when the interaction calls for it.
• Agent Assist: real-time, outcome-driven behavioral guidance delivered to human reps mid-conversation.
• Conversation Intelligence: analytics, quality management and coaching built on 100% of interactions, delivered through two components:
• Cresta Director: the coaching and performance layer, where managers build, track, and review coaching plans for each agent, blending automated QA scoring with live coaching moments.
• Cresta Insights: the analytics layer, which correlates specific agent behaviors with business outcomes (sales, resolution, handle time) and can answer natural-language questions about what's actually happening across your conversations.
• Knowledge Agent: a real-time knowledge assistant launched on March 17, 2026 that listens for customer intent, reads on-screen data and surfaces answers from CRM data, knowledge bases and policies without the agent asking (Cresta press release, CMSWire). Cresta calls it the first in a planned series of agentic assistants.

The through-line is real time: Cresta's differentiator is doing this fast enough to matter during a live call, not after it. And because Insights, Director, and Agent Assist run on shared models, the pattern that Insights spots across thousands of past calls can feed straight into what a rep sees on the next live one, a feedback loop Cresta markets heavily as its advantage over stitching together separate point tools.

How does Cresta's real-time AI work?

Cresta's core bet is latency. Third-party roundups such as Crescendo's put its agent-assist guidance at under 200 milliseconds, fast enough that reps get direction mid-sentence rather than after the call. We didn't find that figure on Cresta's own product pages on 24 September 2026. Its engineering blog does explain why speed matters: pauses as short as ~300 milliseconds can feel unnatural on a voice call. That's the hard part of live voice, where the AI has to transcribe, interpret and respond faster than a human notices a pause.

The other technical claim is that Cresta trains its own models on contact-center conversations rather than relying purely on general-purpose LLMs. The idea is that a model tuned on your actual transcripts learns the intents, objections and winning "behaviors" specific to your business, so guidance is grounded in what your best agents already do, not generic best practice. Under the hood, Cresta combines that with generative AI to:

• Detect intent and context in real time and match it to outcome-driven "behaviors" the top-performing agents use, then nudge every rep toward those behaviors live.
• Proactively deliver knowledge: the Knowledge Agent unifies your knowledge base so the AI hands agents the right answer without them searching a wiki mid-call.
• Run autonomous AI agents on a subset of interactions, handing off to humans when the conversation gets complex.
• Score and analyze 100% of conversations for QA, coaching and analytics, replacing the old model where a QA team manually reviewed a 2–3% sample of calls.

The result is a platform that tries to do three things at once: assist humans, automate some conversations, and turn everything into coaching insight, all off a single model of your conversations.

What are Cresta's key features?

• Cresta Agent: autonomous voice, chat and SMS handling with human handoff.
• Agent Assist: real-time behavioral guidance for reps on live interactions.
• Knowledge Agent: real-time knowledge assistant (March 2026 launch) that surfaces answers proactively.
• Cresta Director: coaching plans, performance management and AI-driven QA at scale.
• Cresta Insights: outcome-correlated analytics with natural-language querying of conversation data.
• Conversation Intelligence and Quality Management: analytics, QA and coaching across 100% of interactions.
• CCaaS integrations: runs on top of the major contact-center platforms rather than replacing them.
• Enterprise deployment: direct enterprise sales plus AWS Marketplace, Google Cloud Marketplace and CCaaS partners.

Which contact-center platforms does Cresta integrate with?

This is where Cresta's positioning becomes clearest: it is designed to sit on top of the contact center you already run, not replace it. Cresta integrates with the major CCaaS (Contact Center as a Service) platforms: Genesys (listed on the AppFoundry marketplace), Amazon Connect, Five9 (an accredited VoiceStream integration), NICE CXone, Avaya, Twilio, 8x8, and LivePerson (Cresta LLM info). In practice, Cresta layers its AI over those suites, or replaces their native AI modules, adding depth where the CCaaS platform's built-in AI is thin.

On deployment, Cresta is sold direct to enterprise and is also available through the AWS Marketplace, Google Cloud Marketplace, and via partners including Five9, Genesys, NICE, AWS, and Twilio. One point Cresta makes about migrations: because it runs as a software layer above the telephony platform, it can operate across an old and a new CCaaS system simultaneously, which de-risks a platform switch and lets a large center move on its own timeline. The flip side of all this flexibility is scope: connecting Cresta to a live voice stack, training models on your transcripts, and rolling it out to a floor of agents is an enterprise implementation, not a self-serve toggle.

How much does Cresta AI cost?

Cresta doesn't publish pricing. The cresta.com/pricing URL still returned a 404 on 24 September 2026, and every product path requires a demo before you see numbers (eesel's Cresta pricing breakdown). Pricing is built per account, based on agent seats and feature tiers, and customers typically sign annual contracts.

There is one public data point: Cresta's AWS Marketplace listing ("Contact Center AI Platform"), checked 24 September 2026. It sells 12-month contracts:

Do the arithmetic and a fully used voice contract works out to $1.50 per call, the same as the overage rate, so the listing is really a per-interaction price with a six-figure floor. It covers Agent Assist only; the autonomous AI Agent, Knowledge Agent and the analytics products are quoted separately, and AWS infrastructure costs can come on top. Cresta is priced at six figures a year for real volume and is firmly an enterprise purchase. If you're a smaller team hoping for transparent, self-serve pricing, that's a real mismatch.

What actually drives the cost

Even though the number is quoted, the shape of Cresta's pricing is predictable, and it's worth understanding before you sit through a demo. The main cost drivers are:

• Agent seats. The core license is seat-based: you pay per human agent (or per named user) who gets Agent Assist, Director, and the rest. A 500-seat center costs far more than a 50-seat one, and headcount is usually the dominant line item.
• Interaction volume. Autonomous AI Agent handling and analytics scale with the number of calls, chats, and messages processed. The AWS listing's "up to 125,000 chats" and "up to 100,000 calls" bands make this explicit, with per-interaction overage above them.
• Voice minutes. For voice, real-time transcription and analysis are compute-heavy, so minutes (not just call count) can factor in.
• Products enabled. Turning on the full stack (autonomous agents plus assist plus Director plus Insights plus Knowledge Agent) costs more than a single module.
• Contract term. Deals are annual, and multi-year commitments typically move the effective price.

We're not going to invent a per-seat figure, because Cresta doesn't publish one, and the number varies enormously by center size, volume and which products you light up. Treat the $150,000 AWS listing as an order-of-magnitude signal ("this is a six-figure platform"), not as a quote you can hold Cresta to. Cresta directs buyers who want custom terms to a private offer.

What are Cresta AI's pros and cons?

Pros

• Real-time speed on live voice: guidance during the call, not after it, which is hard to do on voice.
• One unified platform: autonomous agents, agent assist, knowledge, coaching (Director), and analytics (Insights) share a single system of intelligence, so insights feed live guidance instead of sitting in a separate BI tool.
• Purpose-built models: training on your own contact-center transcripts produces guidance grounded in what your best agents actually do, not generic scripts.
• Strong for voice, where many AI tools are weak and most help-desk-native tools don't play at all.
• Broad CCaaS integration: layers onto Genesys, Amazon Connect, Five9, NICE, Twilio, 8x8, and more without ripping out your platform.
• Pedigree and funding: founded by Sebastian Thrun, a reported ~$1.6B valuation and ~$282M raised, and named customers like United Airlines, Cox, Marriott and Hilton.
• The Knowledge Agent (March 2026) closes the "agent can't find the answer" gap.

Cons

• Opaque pricing: no public page, demo-gated; the only visible number is a $150,000/year AWS listing for Agent Assist.
• Enterprise-only economics: seat-based, six-figure annual contracts put it out of reach for most SMB and mid-market teams.
• Heavy to implement: connecting a live voice stack, training models on your transcripts, and rolling out to a floor of agents is a real deployment, not a weekend setup.
• Voice/contact-center centric. If you run support primarily on a modern help desk (email, chat, tickets) rather than a big phone center, much of Cresta's value (real-time voice assist, QA at call scale) is aimed elsewhere.
• Change-management load. Real-time guidance and 100%-of-calls QA change how agents work and how managers coach; adoption isn't automatic and needs buy-in.

Who is Cresta AI best for?

Cresta is a strong fit for large, voice-heavy contact centers in telecom, travel, financial services and insurance that want real-time agent assist, some autonomous automation, and deep conversation analytics, and that have the budget (six figures a year) and the team to implement an enterprise platform. If real-time coaching on live calls is the problem you're solving, Cresta is one of the best in the category.

It's a weaker fit if you're a small or mid-market team, if you want transparent pricing without a sales cycle, or if your support runs primarily through a help desk and you mostly want to automate and resolve tickets. That's a different category.

What are the best Cresta AI alternatives?

Cresta competes most directly with other real-time contact-center AI and agent-assist platforms, chiefly Observe.AI and ASAPP, both of which we cover in full. Uniphore turns up on the larger enterprise shortlists too, selling contact-center AI as part of a broader Business AI Cloud with no published pricing. The category matters: comparisons often lump together products that do different jobs.

A fair word on Macha, since it's an honest alternative for part of what buyers evaluate Cresta for. Macha isn't a real-time voice agent-assist suite: it won't whisper guidance to a rep mid-call or run a large call center's QA. What it does is sit on top of the help desk you already use (Zendesk, Freshdesk, Gorgias, Front, Intercom or HubSpot) as an AI agent for customer service that resolves tickets autonomously. It's done for you: the Macha team analyzes your past tickets, builds the knowledge base and the agent, and runs it in safe mode, with drafts as internal notes, until the drafts are right, and the agent then works your queue with custom tools and your data sources. Pricing is per ticket on one plan priced by volume, about $0.40 a ticket from $299/month for up to 750 tickets, and it covers a dedicated success manager who handles your changes after go-live (new categories, instruction edits, new tools), so you pay for the tickets the AI handles instead of a six-figure seat contract. If your real goal is automating support on a help desk rather than guiding live agents in a voice center, Macha is the more direct fit. If you need real-time assist for a large call center, Cresta is purpose-built for that and Macha isn't trying to be. You can see how Macha's usage-based pricing compares.

How did we research Cresta AI?

The product, deployment and customer detail here comes from Cresta's own site, press releases and documentation. Cresta doesn't publish a price, so the pricing section rests on its AWS Marketplace listing and third-party reporting, labelled as such. On September 24, 2026 we re-checked the AWS listing, the 404 pricing URL, the homepage customer list and the Knowledge Agent launch date, and we did not obtain a quote. Cresta is sold through an enterprise cycle with no self-serve trial, so nothing here comes from hands-on use, and G2 turned away every request we made that day.

FAQ

What is Cresta AI used for? Cresta AI is a real-time contact-center platform used for autonomous AI agents (voice/chat/SMS), real-time agent assist for human reps, knowledge delivery, and conversation intelligence (analytics, QA, and coaching).

How much does Cresta AI cost? Cresta doesn't publish pricing and its pricing page 404s; quotes are demo-gated and seat/tier based on annual contracts. The one public data point is Cresta's AWS Marketplace listing: $150,000 for a 12-month Agent Assist contract covering up to 100,000 calls or 125,000 chats, with overage at $1.50 per call or $1.20 per chat.

Who founded Cresta AI? Cresta was founded in 2017 by Sebastian Thrun (Google X, Udacity) with CEO Zayd Enam, Tim Shi, and Andre Esteva.

Is Cresta AI good for small teams? No. Cresta is an enterprise platform with six-figure annual pricing, built for large voice-heavy contact centers. Small and mid-market teams are outside its target market.

What are the main alternatives to Cresta AI? For real-time contact-center AI and QA, the closest alternatives are Level AI and Observe.ai (and, on the sales-conversation side, tools like Gong). If your goal is instead to automate and resolve support tickets on your existing help desk, an AI-agent layer like Macha is a more direct and more accessible fit.

What CCaaS platforms does Cresta integrate with? Cresta layers on top of the major contact-center platforms rather than replacing them, including Genesys, Amazon Connect, Five9, NICE CXone, Avaya, Twilio, 8x8, and LivePerson. It's available direct and through the AWS and Google Cloud marketplaces, plus CCaaS partners.

Is Cresta AI just for voice? Voice is Cresta's strongest and most differentiated channel, and its real-time assist is built for live calls, but it also handles chat and SMS, both through autonomous AI agents and through agent assist for human reps.

What are Cresta Director and Cresta Insights? They're the two halves of Cresta's Conversation Intelligence. Director is the coaching and performance layer, where managers build and track coaching plans and run AI-driven QA across every interaction. Insights is the analytics layer, which correlates agent behaviors with outcomes like resolution and handle time and lets you ask natural-language questions about your conversation data.

Does Cresta train its own AI models? Yes. A key part of Cresta's pitch is that it trains models on your contact center's own conversations, so guidance reflects the intents, objections, and winning behaviors specific to your business rather than generic best practice.

How is Cresta different from Macha? They solve different problems. Cresta is a real-time, voice-first platform for large contact centers: assisting live agents, running autonomous voice agents and coaching at call-center scale. Macha is an AI-agent layer that sits on your existing help desk (Zendesk, Freshdesk, Gorgias, Front, Intercom or HubSpot) and autonomously resolves support tickets. The Macha team sets it up and runs it for you, at about $0.40 a ticket from $299/month, including a dedicated success manager. If you run a voice center and want live agent assist, Cresta fits; if you run support on a help desk and want to automate tickets, Macha fits.

Want to automate the tickets themselves, without a six-figure contract? Macha adds an AI agent to the help desk you already run (Zendesk, Freshdesk, Gorgias, Front, Intercom or HubSpot) that resolves customer issues autonomously, set up for you by the Macha team and priced per ticket. Start with $50 of free usage, no credit card, and see it work on your own queue.