Sierra
by Sierra Technologies, Inc.
Better customer experiences, built on Sierra.
Sierra is an enterprise platform for building, deploying, and optimizing conversational AI agents that handle customer experiences across chat, voice, email, and messaging channels. Founded by former Salesforce co-CEO and OpenAI board chair Bret Taylor and ex-Google executive Clay Bavor, it lets companies deploy brand-aligned AI agents that resolve customer issues end to end.
Sierra is a conversational AI company that helps enterprises build customer-facing AI agents through its Agent OS platform. Founded in 2023 by Bret Taylor (chair of OpenAI's board and former co-CEO of Salesforce) and Clay Bavor (former head of Google Labs), Sierra provides tools to create empathetic, brand-aligned agents that operate across voice, chat, SMS, WhatsApp, email, and ChatGPT, resolving customer requests like order returns, claims processing, and mortgage refinancing rather than simply deflecting them. The platform includes Ghostwriter (an agent that builds agents from SOPs and transcripts), Agent Studio for configuration, an Insights suite for analytics and experimentation, an Agent SDK for developers, and an Agent Data Platform for personalization and memory. Sierra is known for its outcome-based pricing model, in which customers pay primarily for successfully resolved interactions rather than per seat. The company has grown rapidly, surpassing $150M in ARR and serving more than 40% of the Fortune 50, including companies such as Rocket Mortgage, SiriusXM, Sonos, ADT, WeightWatchers, and SoFi.
At a Glance
- Category
- AI Agents & Orchestration
- Pricing
- Usage-based, Contact for pricing
- Target Market
- CIOs, CTOs, VP Customer Experience, Enterprise Developers, Heads of Customer Support
- Founded
- 2023
- Headquarters
- San Francisco, United States
- Customers
- Serves more than 40% of the Fortune 50; hundreds of enterprise customers
Key Features
- ✓Agent OS
End-to-end platform for building, deploying, monitoring, and improving AI customer-experience agents.
- ✓Ghostwriter
An agent-building agent that generates production-ready multilingual agents from SOPs, transcripts, and plain-English descriptions.
- ✓Omnichannel agents
Agents operate across chat, SMS, WhatsApp, email, voice, and ChatGPT from a single configuration.
- ✓Insights suite
Conversation analytics, monitors, multivariate experiments, and observability to find and suggest agent improvements.
- ✓Agent SDK & connectors
Developer toolkit with prebuilt skills, guardrails, and connectors to integrate agents with enterprise systems and data.
- ✓Agent Data Platform
Adds agent memory, customer data integration, and recommendations to deliver personalized, proactive engagement.
Capabilities
Use Cases
- •Customer support resolution
Resolve order tracking, returns, troubleshooting, and account questions across channels without human agents.
- •Voice IVR replacement
Replace traditional phone IVR systems with AI agents that pick up calls instantly and complete tasks.
- •Revenue and retention
Extend agents beyond support to drive sales, reduce churn, and grow customer lifetime value across the lifecycle.
Ideal For
Best For
- ✓Enterprise customer service and support automation
- ✓Deploying branded conversational AI agents across voice and chat
- ✓Driving customer retention, sales, and lifetime value with AI
Integrations
Market & Ratings
Serves more than 40% of the Fortune 50; hundreds of enterprise customers
Market Analysis
Pros
- ✓Resolves issues end to end rather than deflecting
- ✓Strong omnichannel including voice
- ✓Outcome-based pricing aligns vendor incentives with results
- ✓Enterprise-grade security and broad compliance certifications
- ✓Backed by experienced founders and top-tier investors
Cons
- ✗High cost and six-figure-plus enterprise contracts
- ✗Opaque, custom pricing makes budgeting harder
- ✗Significant implementation effort and time
- ✗Premium valuation raises sustainability questions as competition grows
Pricing
Enterprise
Contact for pricing
- ✓Outcome-based pricing (pay per resolved interaction)
- ✓Omnichannel agents (voice, chat, email, messaging)
- ✓Agent OS, Insights, and Agent Data Platform
- ✓Managed implementation and SDK access
Sierra uses an outcome-based pricing model where customers pay primarily for successfully resolved interactions rather than per seat. Pricing is custom and not publicly listed; third-party estimates place enterprise contracts in the six-figure-plus annual range with substantial implementation fees.
Sources
This page was written from 7 sources, 5 on domains other than sierra.ai.
- 1.sierra.ai — sierra.aivendor
- 2.sierra.ai — better customer experiences built on sierravendor
- 3.siliconangle.com — ai agent startup sierra valued 15b new 950m funding round
- 4.sacra.com — sierra
- 5.research.contrary.com — sierra
- 6.cmswire.com — sierra ais 10b valuation marks a turning point for conversat
- 7.fortune.com — bret taylor clay bavor ai startup sierra 110 million funding
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