S

Sierra

by Sierra Technologies, Inc.

AI Agents & OrchestrationMarketing & SalesAudio & VoiceEnterprise Platform

Better customer experiences, built on Sierra.

Usage-based · Contact for pricing·Added June 21, 2026·Updated June 21, 2026
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THE DAILY BRIEF

Sierra

by Sierra Technologies, Inc.

AI Agents & OrchestrationMarketing & SalesAudio & VoiceEnterprise Platform

Better customer experiences, built on Sierra.

Usage-based · Contact for pricing

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.

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
  • Ghostwriter
  • Omnichannel agents
  • Insights suite
  • Agent SDK & connectors
  • Agent Data Platform

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Customer support resolution
  • Voice IVR replacement
  • Revenue and retention

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

Market Analysis

Enterprise-gradeCategory leader in conversational AI agentsPremium / high-touch

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.

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LinkedIn: linkedin.com/in/rberi  |  X: x.com/rajeshberi

© 2026 Rajesh Beri. All rights reserved.

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.

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

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

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

SDK Available

Market & Ratings

Estimated Customers

Serves more than 40% of the Fortune 50; hundreds of enterprise customers

Market Analysis

Enterprise-gradeCategory leader in conversational AI agentsPremium / high-touch

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.

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