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Sierra AI

Sierra helps businesses build better, more human customer experiences with AI.

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Founded

2023

Location

San Francisco, CA

Funding

$635M

Sierra AI: Enterprise-Grade CX Agent Platform

Sierra AI builds enterprise-grade customer experience (CX) agents that handle complex customer conversations and take real actions across a company’s systems. Founded by Bret Taylor (former Salesforce co-CEO; OpenAI board) and Clay Bavor (former head of Google Labs and AR/VR), Sierra emphasizes safety, governance, and brand control for production-scale automation. Sources: [Sierra AI](https://sierra.ai), [LinkedIn](https://www.linkedin.com/company/sierra), [Fortune](https://fortune.com/2024/02/13/bret-taylor-clay-bavor-ai-startup-sierra-110-million-funding-sequoia-benchmark/)

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What Sierra AI Does

  • Builds and runs AI agents that resolve customer issues end-to-end (not just deflect tickets).
  • Enables safe, supervised action-taking across enterprise systems with guardrails and observability.
  • Supports chat and voice in a “build once, deploy everywhere” model. Sources: [Product overview](https://sierra.ai/product), [Voice announcement](https://sierra.ai/blog/voice-turns-one), [Technology industry page](https://sierra.ai/industries/technology)
  • ---

    Core Platform

  • Agent OS and Agent Studio
  • No-code and code-first tools to design, test, and ship agents across channels.
  • Built-in analytics, governance, versioning, and brand policies.
  • Multi-model orchestration and grounding on company data. Sources: [Agent Studio](https://sierra.ai/blog/meet-agent-studio), [Product](https://sierra.ai/product)
  • Development lifecycle and SDKs
  • Agent development lifecycle for testability and reliability.
  • SDKs for custom skills and deep systems integrations. Sources: [Develop your agent](https://sierra.ai/product/develop-your-agent), [Agent lifecycle](https://sierra.ai/uk/blog/agent-development-life-cycle)
  • ---

    Key Differentiators

  • Safe, supervised agents that take real business actions with layered defenses and strict brand guardrails. Source: [Enterprise-grade agents](https://sierra.ai/uk/blog/enterprise-grade-agents)
  • Build once, deploy to chat and voice with unified logic, data, and integrations. Source: [Voice turns one](https://sierra.ai/blog/voice-turns-one)
  • Enterprise governance: observability, versioning, auditability, and policy controls. Source: [Product](https://sierra.ai/product)
  • Hybrid builder experience: no-code composer plus SDKs for engineering-led customization. Source: [Agent Studio](https://sierra.ai/blog/meet-agent-studio)
  • ---

    Who It’s For

  • Mid-market and enterprise CX, support, and operations teams.
  • Brands that need agents to resolve cases end-to-end (refunds, returns, account changes, troubleshooting) with system actions.
  • Organizations that value guardrails, auditability, and versioning over quick-and-dirty bots.
  • Teams that want both no-code tools and SDK extensibility. Sources: [Product](https://sierra.ai/product), [Enterprise-grade agents](https://sierra.ai/blog/enterprise-grade-agents)
  • ---

    Common Use Cases

  • Customer support: order status, returns, repair/warranty, refunds, billing updates.
  • Account/subscription management: upgrades, cancellations, plan changes.
  • Technical troubleshooting and guided diagnostics for hardware/services.
  • Appointment scheduling and rescheduling.
  • Voice-based service flows and inbound call containment.
  • Industry examples such as roadside assistance and refinancing. Sources: [There’s an agent for that](https://sierra.ai/blog/theres-an-agent-for-that-and-it-runs-on-sierra), [Voice turns one](https://sierra.ai/blog/voice-turns-one)
  • ---

    Integrations and Engineering

  • Connects to CRM, CDP, systems of record, and knowledge bases; keeps logic and integrations consistent across channels. Sources: [Technology industry](https://sierra.ai/industries/technology), [Voice turns one](https://sierra.ai/blog/voice-turns-one), [Develop your agent](https://sierra.ai/product/develop-your-agent)
  • Agent SDK and developer resources for custom skills and system actions. Source: [Develop your agent](https://sierra.ai/product/develop-your-agent)
  • ---

    Pricing and Trial

  • Pricing: custom and outcome-based.
  • No public self-serve free trial listed. Sources: [G2 overview](https://www.g2.com/products/sierra/reviews), [SaaSworthy pricing summary](https://www.saasworthy.com/product/sierra-ai/pricing)
  • ---

    Customers

  • Named customers include WeightWatchers, Sonos, SiriusXM, OluKai, and Minted. Sources: [Fortune](https://fortune.com/2024/02/13/bret-taylor-clay-bavor-ai-startup-sierra-110-million-funding-sequoia-benchmark/), [TechCrunch](https://techcrunch.com/2025/09/04/bret-taylors-sierra-raises-350m-at-a-10b-valuation/), [Sierra blog](https://sierra.ai/blog/theres-an-agent-for-that-and-it-runs-on-sierra)
  • ---

    Funding and Company Snapshot

  • Total reported funding: $635M.
  • $110M at launch (Feb 2024) led by Sequoia and Benchmark.
  • $350M in 2025 at a $10B valuation. Sources: [Fortune](https://fortune.com/2024/02/13/bret-taylor-clay-bavor-ai-startup-sierra-110-million-funding-sequoia-benchmark/), [TechCrunch](https://techcrunch.com/2025/09/04/bret-taylors-sierra-raises-350m-at-a-10b-valuation/), [Sierra blog announcement](https://sierra.ai/blog/theres-an-agent-for-that-and-it-runs-on-sierra)
  • Company: [Sierra AI](https://sierra.ai)
  • Category: Enterprise CX agent platform
  • Founders: Bret Taylor, Clay Bavor
  • Founded: 2023; public launch in 2024
  • HQ footprint: San Francisco; distributed across major hubs
  • Employees: ~403 (LinkedIn reported range 201–500). Source: [LinkedIn](https://www.linkedin.com/company/sierra)
  • ---

    User Sentiment

    Pros

  • Strong focus on safe, supervised action-taking agents that protect brand integrity. Source: [G2 overview](https://www.g2.com/products/sierra/reviews)
  • Enterprise-grade controls and governance (brand guardrails, observability). Source: [G2 pros and cons](https://www.g2.com/products/sierra/reviews?qs=pros-and-cons)
  • Well-suited for teams with engineering resources seeking deeper configuration and SDKs. Source: [Reddit r/smallbusiness](https://www.reddit.com/r/smallbusiness/comments/1m5i5hu/do_you_guys_know_any_good_ai_to_replace_customer/)
  • Cons

  • Steeper learning curve; setup/configuration take time. Source: [G2 pros and cons](https://www.g2.com/products/sierra/reviews?qs=pros-and-cons)
  • Pricing skews enterprise versus SMB tools. Source: [G2 listings](https://www.g2.com/products/sierra/reviews)
  • Fewer public details vs. some competitors; limited public docs noted by buyers. Source: [Reddit discussion](https://www.reddit.com/r/AI_Agents/comments/1hhwllb/any_ai_agents_that_are_vertical_saas_and_are/)
  • ---

    Why Choose Sierra AI

  • Launch production-grade CX agents that can safely perform real actions across your stack.
  • Keep brand, policy, and compliance at the core with layered safeguards and observability.
  • Blend no-code speed with SDK power for complex, integrated workflows.
  • Deploy across chat and voice while maintaining consistent logic and data.
  • For more, visit [Sierra AI](https://sierra.ai) or explore product details on [Agent Studio](https://sierra.ai/blog/meet-agent-studio) and [Develop Your Agent](https://sierra.ai/product/develop-your-agent).

    ---

    Note on data quality: Capterra pages for “Sierra” often refer to unrelated products; no reliable Capterra dataset tied to Sierra AI surfaced. Sierra does not publish public pricing; third-party sources describe custom, outcome-based pricing. Sources: [SaaSworthy](https://www.saasworthy.com/product/sierra-ai/pricing), [G2 overview](https://www.g2.com/products/sierra/reviews)

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