Cresta vs Enthu.AI: Which Is Better for Your Team in 2026?

Cresta and Enthu.AI are both used for agent assist tools. Below we compare them on pricing, AI capabilities, compliance, and the use cases each one fits best — all from verified vendor data.

Choose Cresta if…

  • Large enterprise contact centers (100+ agents) in financial services, insurance, healthcare, or telecom needing real-time agent guidance at scale
  • Organizations requiring the broadest compliance posture (SOC 2, HIPAA, PCI DSS, ISO 27001, ISO 42001) with audit-ready documentation
  • CX leaders evaluating a unified platform that covers agent assist, QA automation, conversation intelligence, and virtual agents in one contract
Full Cresta review →

Choose Enthu.AI if…

  • Mid-market contact centers (25–500 agents) that need 100% call coverage QA without enterprise pricing
  • Financial services, insurance, and healthcare teams with strict compliance monitoring requirements
  • Teams replacing manual spot-check QA with automated scorecards and GenAI call summaries
Full Enthu.AI review →

Cresta vs Enthu.AI: feature comparison

Feature Cresta Enthu.AI
At a glance
Category Agent assist Conversation intelligence
Best fit Enterprise Smb, Mid market
Deployment Cloud Cloud
Channels Voice, Web chat, Email Voice
Pricing & ratings
Starting price Contact sales From $59/user/mo
Free trial No 14 days
User rating 4.2/5 (43 G2 reviews) 4.9/5 (40 G2 reviews)
AI capabilities
Autonomous voice agent Yes No
Real-time agent assist Yes Yes
Conversation intelligence Yes Yes
Automated QA Yes Yes
Intelligent routing No No
Compliance
SOC 2 Type II Yes Yes
HIPAA Yes No
PCI DSS Yes No
GDPR Yes Yes

Cresta vs Enthu.AI: frequently asked questions

What is the difference between Cresta and Enthu.AI?
Cresta is the enterprise standard for real-time agent assist — Forrester-leading, deeply integrated, and purpose-built for Fortune 500 contact centers at scale. By contrast, Enthu.AI scores 100% of calls automatically, flags coaching moments fast, and deploys in hours — a sharp fit for mid-market QA teams priced out of enterprise platforms.