Sierra AI
Branded AI agents for customer experience
Overview
Sierra is Bret Taylor's (ex-Salesforce co-CEO, ex-OpenAI board chair) and Clay Bavor's (ex-Google VP) AI customer-experience platform — builds branded support agents for consumer companies. Customers include Sonos, WeightWatchers, Casper, SiriusXM. Enterprise contracts, six-figure ACVs.
Use cases
What you can produce with Sierra AI
- Deploy a branded AI chat agent on your website or mobile app that can autonomously resolve customer support tickets — including issuing refunds, updating account details, or processing returns — without human involvement.
- Stand up a natural-sounding voice phone agent that handles inbound customer calls, integrates with existing IVR systems, and escalates to a human agent with full conversation context when needed.
- Use the Ghostwriter tool (launched March 25, 2026) to upload existing SOPs, call transcripts, or whiteboard sketches and auto-generate a production-ready AI agent across voice, chat, and email in 30+ languages without writing code.
- Run multivariate A/B experiments on agent conversation flows via the Insights 2.0 Experiments module to measure and improve containment and resolution rates over time.
- Build a personalised agent experience using the Agent Data Platform (launched November 2025), which stores customer history and preferences across conversations and integrates with CRM and order management systems to tailor responses.
- Implement Live Assist, a real-time copilot layer that surfaces AI guidance and auto-drafted reply suggestions for human support reps handling escalated cases.
- Deploy multi-channel coverage — web chat, voice, SMS, WhatsApp, and email — through a single agent configuration, maintaining consistent brand tone and policy guardrails across all channels.
ASEAN Perspective
Sierra AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Sierra builds bespoke, action-taking AI agents for enterprise customer service — resolving issues, processing cancellations, handling upsells — with deep systems integration and strong guardrails. The May 2026 raise ($950M at a $15.8B valuation, led by Tiger Global and GV), $150M ARR and over 40% of the Fortune 50 as customers make it the category's reference vendor. Outcome-based pricing charges per resolved conversation rather than per seat. It suits large enterprises with high contact volume and budget for a committed implementation program: there's no public pricing or self-serve tier, and third-party estimates put year-one commitments at $200K–$350K+ including setup. For ASEAN SMEs it's out of reach; for large regional enterprises it's a major procurement, not a signup. No public developer API.
What people say
$950 million at a $15.8 billion valuation — Sierra's May 2026 round, led by Tiger Global and Google's GV, made Bret Taylor's three-year-old company the most heavily capitalized pure-play in AI customer service. Revenue is following the money: $100M ARR in late November 2025 became $150M by early February 2026, and Sierra says agents on its platform now serve over 40% of the Fortune 50.
The case-study numbers are real but self-reported: resolution rates of 94% at Funnel Leasing, 90% at Ramp, 74% at Casper and around 70% at WeightWatchers, the last with a 4.6/5 CSAT. Product velocity is high — the Agent Data Platform (November 2025) added personalisation, and Ghostwriter (March 2026) lets non-engineers change agent behaviour in natural language, answering an earlier complaint that every logic change routed through Sierra's own team. Multi-channel coverage spans web chat, voice, email, SMS and WhatsApp.
G2 and Gartner Peer Insights reviewers like the team and say the agents live up to what was sold, with non-technical staff able to update journeys without IT. Criticisms cluster around a complex setup, more bugs than some rivals, context degradation in long conversations, voice latency from the multi-model architecture, and pricing opacity: nothing published, quote-only, with third-party estimates of $200K–$350K+ for year one including implementation.
The bottom line hasn't changed with the valuation: if you're a large enterprise whose contact volume justifies six figures of deflection spend, Sierra is the credible default. Everyone below that line isn't the customer, and Sierra doesn't pretend otherwise.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Sierra AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Sierra AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Sierra AI directly →
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