Cresta
Generative AI platform for the contact center that unifies autonomous AI agents with real-time guidance for human agents across voice and digital channels
Overview
Cresta is "the generative AI platform for the customer experience" — a unified platform for human and AI agents built for enterprise contact centers. It pairs autonomous AI agents that resolve voice and digital conversations end-to-end with real-time Agent Assist that coaches human agents mid-conversation, on top of conversation intelligence and automated quality management across 100% of interactions. Founded in 2017 by Stanford PhD researchers Zayd Enam and Tim Shi, Cresta runs on Ocean-1, a contact-center-specific model the company positions as outperforming generic LLMs in this domain.
The Verdict
Who Should Use Cresta?
Best For
- Large enterprises (100+ agents) with six-figure budgets and complex, high-value conversations
- Contact centers wanting both autonomous AI agents and real-time human-agent coaching in one platform
- Regulated industries (financial services, insurance, healthcare, travel) needing enterprise-grade security and compliance
- Teams with a dedicated AI/ops person to tune and maintain the platform
Not Ideal For
- Small teams or SMBs — pricing is enterprise-only (roughly $60K–$150K/year, annual contracts)
- Organizations wanting a fast, low-touch rollout — implementation runs multiple weeks and needs IT resources
- Businesses with highly unique, non-standard workflows that resist standardized coaching
What's Great
- Real-time Agent Assist delivers guidance in under ~200ms — fast enough to coach reps mid-sentence
- Unifies human and AI agents in one cohesive system rather than bolting them together
- Proprietary Ocean-1 contact-center model; reported ROI of ~20% higher CSAT, 25% higher revenue per lead, and 15% lower handle times
- Strong customer expansion — ~150% net revenue retention (Feb 2024) signals real deployed value
Watch Out For
- High cost — practically accessible only to large enterprises with significant budgets
- Integration complexity; smooth rollout can demand meaningful IT resources and change management
- Some users report scaling challenges at very high simultaneous-interaction volumes
- Complaints about the knowledge system and accuracy of caller-intent identification
Pricing
View all features & details
Products
- AI Agent — autonomous voice & digital agent resolving conversations end-to-end
- Agent Assist — real-time guidance, suggestions, and knowledge during live calls
- Conversation Intelligence — analysis across 100% of conversations for insights and opportunities
- Knowledge Agent — proactive real-time answers from enterprise knowledge bases
- Quality Management — automated QA across 100% of conversations (not sampling)
Platform
- Ocean-1 contact-center-specific AI model
- Voice and digital (omni-channel) coverage
- Multilingual support across the customer journey
- Integrations: Salesforce, Genesys, Amazon Connect, Twilio, and 12+ others
- Enterprise-grade security trusted by Fortune 500 companies
Company
- Founded 2017 by Zayd Enam and Tim Shi (Stanford)
- HQ: Sunnyvale, CA
- $125M Series D (Nov 2024); ~$276M+ total raised; $1.6B valuation
- Customers include United Airlines, Alaska Airlines, Cox Communications, Snap Finance, CarMax
How It Compares
| Feature | Cresta | Observe.AI | Balto |
|---|---|---|---|
| Proprietary CC model | Ocean-1 | 30B-param CC LLM | Generic LLM |
| Channels | Voice + digital | Voice + digital | Primarily voice |
| Autonomous AI agent | Yes | Yes | Limited |
| Target segment | Enterprise | Mid-market + enterprise | Mid-market |
| Total funding | ~$276M+ | ~$214M+ | ~$52M |