Decagon
Chatbots
Enterprise AI concierge agents that autonomously resolve customer support across chat, email, and voice.
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Sierra
Enterprise conversational AI agents for customer experience, billed on the outcomes they resolve.
Claimed API Teams
Toolglade’s take
Sierra is the blue-chip pick for Fortune 500 CX teams that want a highly capable, outcome-priced AI agent and can absorb a six-figure, sales-led commitment. Overkill and over budget for small teams.
About Sierra
Sierra is an enterprise conversational AI platform from Bret Taylor and Clay Bavor that builds autonomous customer-experience agents for chat and voice. It is sold on outcome-based pricing, resolving support interactions rather than charging per seat, and serves more than 40% of the Fortune 50. Contracts are custom and sales-led, with no free trial or self-serve tier.
Sierra is an enterprise conversational AI platform built to help companies deploy branded, autonomous agents that talk to customers across chat, voice, email, and messaging. Its Agent OS and Agent SDK connect to backend systems so agents can reason over multiple turns, take real actions, and hand off to humans when needed, all wrapped in safety layers, guardrails, and audit trails. Sierra was co-founded in 2023 by Bret Taylor (former co-CEO of Salesforce and chairman of OpenAI's board) and Clay Bavor (a longtime Google VP). The company targets the largest enterprises, counting more than 40% of the Fortune 50 as customers and reaching roughly $200M ARR in 2026. Rather than charging per seat, Sierra pioneered outcome-based pricing, where customers pay when an agent successfully resolves an interaction. Contracts are custom and run through an enterprise sales process, with implementations often reaching production in weeks.
TL;DR
Sierra is an enterprise conversational AI platform, co-founded by Bret Taylor and Clay Bavor, that builds autonomous customer-experience agents for chat and voice. It pioneered outcome-based pricing, charging when an agent resolves an interaction rather than per seat. It serves more than 40% of the Fortune 50 and reached roughly $200M ARR in 2026 at a $15.8B valuation. There is no free trial or self-serve option; all deals go through enterprise sales.
Company overview
Sierra was founded in 2023 by Bret Taylor and Clay Bavor. Bret Taylor is a Silicon Valley veteran who was co-CEO of Salesforce, CTO at Facebook, co-creator of Google Maps, and is chairman of OpenAI's board. Clay Bavor spent nearly two decades at Google, leading Google Workspace and its AR/VR (Labs) efforts. Together they positioned Sierra as the AI agent layer for large enterprises.
The company has scaled quickly, counting more than 40% of the Fortune 50 among its customers and reaching an estimated $200M ARR in 2026 (up from $100M in 2025). It emphasizes production-grade reliability, safety, and measurable business outcomes rather than experimental chatbots.
Product features
Sierra's core offering is an 'Agent OS' for building and running autonomous customer-facing agents across chat, voice, email, and messaging. Agents perform multi-turn reasoning, use tools, and take real actions against backend systems (CRM, helpdesk, order, and identity data) via the Agent SDK and Integration Library, with connectors to Salesforce, Zendesk, Shopify, and SAP. Built-in guardrails, safety layers, and human-in-the-loop escalation keep responses on-brand and controlled.
Sierra's voice agent moved into production in early 2026 with a low-latency speech pipeline (targeting sub-400ms responses), streaming ASR, natural turn-taking, and barge-in detection, with strong multilingual accuracy across English and Spanish. An Agent Builder provides no-code and low-code customization, and the platform includes analytics, audit trails, and performance dashboards for monitoring resolutions.
Target market
Sierra targets large and global enterprises with high customer-interaction volumes, including Fortune 500 brands in retail, healthcare, insurance, finance, and telecom. It is aimed at CX, customer support, and digital transformation leaders who want autonomous agents that resolve interactions at scale and can commit to a custom, six-figure, sales-led engagement. It is not designed for small businesses, startups, or low-volume support teams.
Buyer personas
End users
The people who interact with Sierra's agents are the enterprise's own customers seeking support (billing questions, order status, returns, account changes) via chat, voice, email, or messaging. Internally, support agents and CX operations staff handle escalations and monitor agent performance.
Buyers
VPs and Directors of Customer Experience, Customer Support, or Contact Center Operations, along with CIOs/CTOs and heads of digital transformation who own budget for large, outcome-based AI deployments.
Key influencers
Support operations managers, IT and integration architects, procurement and security/compliance teams, and finance leaders evaluating the ROI of outcome-based pricing versus seat-based tools and headcount.
Ideal customer profile
A large enterprise (often Fortune 500) with high customer-support volume, complex backend systems to integrate, and a mandate to automate and improve CX at scale, willing to invest six figures annually and pay per resolved outcome.
Funding & performance
Sierra has raised approximately $1.58B in total across four rounds from investors including GV, Tiger Global, Benchmark, Sequoia, and Greenoaks. Its most recent round was a $950M Series E in May 2026 at a post-money valuation of $15.8B, which brought total cash on hand to over $1 billion.
Pros & cons
Pros
- Highly capable autonomous agents with real tool use and multi-turn reasoning
- Outcome-based pricing aligns cost with value delivered
- Production-grade voice agent with low-latency, natural turn-taking
- Strong guardrails, safety layers, and human escalation
- Deep enterprise integrations and dedicated implementation support
- Backed by proven founders and a $15.8B valuation with Fortune 50 traction
Cons
- Expensive: six-figure annual contracts plus large setup fees
- No free trial, free plan, or self-serve option
- Sales-led onboarding with multi-week implementation
- Not a marketplace app for Zendesk/Salesforce; requires SDK integration
- Overkill for teams handling under ~1,000 tickets per month
Pricing plans
Enterprise
Custom (outcome-based)
- Outcome-based pricing (pay per resolved interaction, roughly ~$1.50/resolution per third-party estimates)
- Chat, voice, email, and messaging agents via Agent OS
- Deep integrations with Salesforce, Zendesk, Shopify, SAP, and custom systems
- Guardrails, safety layers, and human-in-the-loop escalation
- Analytics, audit trails, and performance dashboards
- Dedicated implementation and professional services (setup fees typically $50K-$200K)
Key features
API
Team collaboration
Multi-language
Integrations
Salesforce, Zendesk, Shopify, SAP, custom backends via Agent SDK
Input types
text, voice
Output types
text, voice
Best For
Enterprise customer service, Voice and chat automation, Outcome-based support deflection, Regulated, high-volume CX
Compare key features
View all alternatives →Feature
Sierra
Decagon
Ada
Pricing
Contact for pricing
Contact for pricing
Paid
Free plan
No
No
No
Free trial
No
No
No
API
Yes
Yes
Yes
Team support
Yes
Yes
Yes
Frequently asked questions
How much does Sierra cost?+
Sierra does not publish pricing. It uses outcome-based pricing where you pay per resolved interaction (third-party estimates put this around $1.50 per resolution). Annual contracts typically start around $150,000, with year-one totals of $200,000-$350,000+ including implementation, and setup fees of $50,000-$200,000. All pricing is negotiated through enterprise sales.
Is Sierra worth it?+
For large enterprises handling high support volumes, Sierra can be worth it: its agents resolve interactions autonomously and you pay based on outcomes, which aligns cost with value. It serves 40%+ of the Fortune 50. For smaller teams or those with under ~1,000 tickets per month, the six-figure cost is hard to justify versus cheaper alternatives.
What are the best Sierra alternatives?+
The most-cited alternatives are Decagon (custom, enterprise, natural-language Agent Operating Procedures) and Intercom Fin (published per-resolution pricing starting around $0.99, with seat plans from $29/month). Other options include Maven AGI and Parloa. Intercom Fin suits smaller and mid-market teams; Decagon and Sierra target larger, high-volume operations.
Who founded Sierra?+
Sierra was co-founded in 2023 by Bret Taylor and Clay Bavor. Bret Taylor, the CEO, is the former co-CEO of Salesforce and chairman of OpenAI's board. Clay Bavor is a longtime Google VP who led Google's AR/VR and Workspace efforts.
How does Sierra compare to Decagon and Intercom Fin?+
All three build AI agents that resolve customer service issues across channels. Sierra targets the largest enterprises with premium, custom outcome-based pricing (often above $1,500/month) and a strong voice agent. Decagon also uses custom enterprise pricing with natural-language Agent Operating Procedures. Intercom Fin is the most accessible, with published per-resolution pricing and seat plans from $29/month, making it better for smaller and mid-market teams.
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