StackMatch / Compare / Decagon vs Cresta
Honest Tool Comparison

Decagon vs Cresta

An honest, context-aware comparison. No affiliate links. No paid placements. Just the data that helps you decide.

Decagon

enterprise
AI Customer Service & Chatbots

AI customer service agents for high-consideration brands — Eli Lilly, ClassPass, and Notion use it.

Custom pricing, usage-based. Typical deployments $80K–$500K/year.

Cresta

enterprise
AI Customer Service & Chatbots

AI agent assist for contact centers — real-time prompts, post-call coaching, and AI agents for voice and chat.

Custom enterprise pricing — typically $300K-$5M+/year scaled to agent seats and modules deployed.

StackMatch Editorial verdicts

Bylined · No vendor influence
DecagonCAUTIOUS-BUY
The enterprise AI support agent worth the sales call

Decagon has become the go-to AI agent for enterprise support, with real deployments at named logos. Pricing is opaque enterprise-only and you're buying as much for the deployment team as the product.

Read full review →
CrestaBUY
AI agent assist that delivers real contact-center productivity

Cresta is the leader in real-time AI agent assist for large contact centers. Verizon, Intuit, Cox, and Brinks Home report meaningful productivity gains. The 500+ agent floor and integration depth set the buyer profile clearly.

Read full review →

What changed at each vendor

Decagon
Decagon raises $250M Series D at $4.5B valuation
Jan 28, 2026·funding·source ↗
Cresta

No recent vendor changes tracked.

Side-by-Side Comparison

Objective metrics, no spin.

N/A
Rating
N/A
enterprise
Pricing tier
enterprise
medium
Learning curve
medium
4–10 weeks
Setup time
2-4 months
4 listed
Integrations
4 listed
medium, large, enterprise
Best company size
large, enterprise
Top Features
Agent Operating Procedures (AOPs)
High-accuracy conversational agents
Voice and chat support
Deep workflow integrations for actions
Features
Top Features
Real-time agent assist (suggested responses, scripts, knowledge)
Post-call AI coaching and QA
Cresta Virtual Agent (full automation)
Sentiment and intent analysis
Choose Decagon if...

High-consideration brands (fintech, healthcare, premium retail) where accuracy and policy adherence matter more than cost savings alone.

Avoid Decagon if...

Low-stakes consumer support with simple FAQs — cheaper generic bots (Intercom Fin) are sufficient.

Choose Cresta if...

Large contact centers (500+ agents) running live voice and chat where real-time AI assistance and post-call coaching drive measurable productivity.

Avoid Cresta if...

Small support teams (overkill), email-only support (use Intercom Fin or Decagon), or organizations without QA/coaching infrastructure to act on insights.

Both suited for: large, enterprise companies

Since both tools target large and enterprise companies, your decision should hinge on the specific use case above rather than company fit. Try the AI Advisor to get a recommendation tailored to your exact stack.

Still not sure? Describe your situation.

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Other AI Customer Service & Chatbots Tools to Consider

If neither is the right fit, these are the next best alternatives in the same category.

Intercom Fin

professional

AI customer service agent that resolves 50%+ of support tickets automatically.

View profile →

Ada

enterprise

Enterprise AI agent platform for customer service — trained on your content to resolve cases autonomously.

View profile →

Forethought

enterprise

Generative AI for customer support — Solve auto-resolves, Assist helps agents, Triage routes tickets.

View profile →
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