Cresta pricing

About

Cresta is an enterprise contact-center AI platform that unifies human and AI agents for customer experience. It was co-founded by Zayd Enam, Sebastian Thrun and Tim Shi and is led by CEO Ping Wu. Its products span the contact center:

• AI Agent — an autonomous voice/digital agent that resolves customer conversations end to end.
• Agent Assist — real-time AI guidance, knowledge suggestions and next-best-action for live human agents.
• Conversation Intelligence — analyzes conversations to surface insights and revenue opportunities.
• Quality Management (Cresta QA) — automated QA scoring across contact-center conversations.

Cresta targets the world’s largest enterprises (Fortune 500) in financial services, travel & hospitality, insurance, healthcare and telecom. It is valued at roughly 1.6B USD, has raised about 276M USD across five rounds (including a 125M USD Series D in late 2024), and reported around 52M USD ARR in 2025.

For the most current information, visit Cresta.

Pricing summary : How Cresta’s pricing model works

Cresta is sales-only — there is no public price list. Every call-to-action on the site is “Get a demo.” The documented commercial structure (from press and third-party analysis) is a per-agent-seat subscription layered with feature tiers, sold on annual enterprise contracts. Pricing scales primarily with the number of contact-center agent seats using the platform, and grows further through feature upsells (adding AI Agent, advanced analytics, QA).

Cresta’s heritage is agent-assist — software that makes human agents better in real time — so its pricing tracks the traditional seat-based logic of the contact-center software market rather than the per-resolution model of newer AI-support upstarts. Its autonomous AI Agent product introduces containment/outcome-linked commercials, but Cresta does not publish a per-resolution rate.

What makes this different: Cresta sits between two pricing worlds — the seat-based contact-center incumbents and the per-resolution AI-agent challengers — pricing its core on seats while layering outcome-linked economics onto its autonomous-agent SKU.

Pricing by product

Sales motions across products: Cresta is entirely sales-led — per-agent-seat subscriptions plus feature tiers, quoted on annual contracts. No public rate card; figures describe structure, not list prices.

Hidden costs : What Cresta users actually pay

With no published rates, the real cost drivers are seat count, feature scope and commitment:

• Seat count — the primary lever; cost scales with the number of agents on the platform.
• Feature tiers / add-ons — adding AI Agent, Conversation Intelligence or QA increases the contract.
• Annual commitment / minimums — enterprise deals are annual with floors regardless of usage.
• Implementation & onboarding — model tuning, integration and rollout to large agent populations.

Want to estimate your own Cresta bill? Use the Cresta pricing calculator to model per-seat and feature-tier scenarios.

Pricing evolution : Cresta pricing history and changes

Cadence

Tracked range: 2022–present. Cresta has never published a public rate card.

Notable changes

• 2022-03 — Series C; valuation quadrupled to 1.6B USD.
• 2024-11 — 125M USD Series D (WiL, QIA, Accenture, Qualcomm, Workday Ventures).

What’s unique : Cresta’s distinctive pricing mechanics

1. Seat-based core in an outcome-pricing era. While AI-support upstarts chase per-resolution pricing, Cresta prices its core per agent seat — fitting its human-in-the-loop agent-assist roots.

2. Hybrid for the autonomous SKU. The AI Agent product layers containment/outcome-linked economics on top of the seat model.

3. Land-and-expand by feature. Revenue grows by adding products (Assist, AI Agent, Intelligence, QA) to the same seat base.

Strengths & weaknesses

Billing UX : Cresta billing controls and transparency

• Billing controls — Enterprise contracts; charges reconciled against licensed seats and feature tiers. Not self-serve.
• Usage visibility — Cresta provides analytics on agent performance, containment and QA, but these inform ROI rather than serving as a transparent billing meter.
• Payment options — Invoiced annual enterprise billing; no public self-serve checkout.

Strategic wins : Why Cresta’s pricing decisions worked

1. Speaking the contact center’s native pricing language

Per-seat pricing matches how contact-center software has always been bought, lowering procurement friction for large buyers. See choosing the right usage metric.

2. Land-and-expand across a suite

Selling Assist first, then AI Agent, Intelligence and QA into the same accounts drives net revenue retention. See how AI companies are shifting from per-user licenses.

3. Hedging into outcomes

Adding containment-linked commercials to the autonomous AI Agent lets Cresta participate in the outcome-based pricing revolution without abandoning its seat-based base. See the introduction to usage-based pricing.

Areas to improve : Gaps in Cresta’s pricing approach

1. Opacity

No published rates forces every prospect into a sales cycle — a friction point covered in bill shock and cost unpredictability.

2. Value alignment

As autonomous agents deflect work away from human seats, a pure seat-based model can misalign with delivered value; the AI Agent containment commercials only partly address this.

3. Transparency on outcome economics

Cresta does not publish how its AI Agent containment/outcome pricing works, leaving buyers to discover it in negotiation.

Key takeaways

1. Cresta is sales-only. No rate card; everything is quoted.
2. Seat-based core. Priced per agent seat plus feature tiers on annual contracts.
3. Hybrid on autonomy. AI Agent adds containment/outcome-linked economics.
4. Land-and-expand. Suite of products grows the same seat base.
5. Enterprise-grade. Fortune-500 focus; six- to seven-figure deployments.

UBP implications

1. Seat-based pricing persists even in AI-heavy contact centers, especially where humans stay in the loop.
2. The autonomy transition stresses seat models — Cresta’s containment commercials show how incumbents bridge toward outcomes.
3. Suite breadth can substitute for usage pricing as a growth lever via cross-sell rather than per-unit metering.

Sources

• Cresta official website (accessed 2026-06-11)
• PRNewswire — Cresta closes 125M Series D (accessed 2026-06-11)
• PRNewswire — Cresta Series C, valuation to 1.6B (accessed 2026-06-11)
• getLatka — Cresta revenue (accessed 2026-06-11)

Bottom line

Cresta sells enterprise contact-center AI — Agent Assist, AI Agent, Conversation Intelligence and QA — on a sales-only basis, priced per agent seat plus feature tiers on annual contracts. It hedges into outcomes with containment-linked commercials on its autonomous AI Agent, but its core remains seat-based, reflecting its human-in-the-loop roots. Browse the pricing blueprint for fully-researched company profiles.

Want to compare Cresta against other customer-service AI companies? Browse the pricing blueprint.