Sierra vs Decagon: Outcome-Priced Agents vs an Omnichannel AI Concierge — November 2026
The short answer
Sierra vs Decagon: Sierra and Decagon are both custom-quoted AI customer-agent platforms with no published pricing. Sierra is adding enterprise-trust signals (a reported $400M+ ARR, a multiyear deal with insurer Guardian, a JPMorganChase innovation award and the Anon acquisition).[5]
Decagon shipped a product and partner wave (Voice 3, Personal Agent Gateway, a Partner Community) and takes its Dialogues event to London on 12 November.
Quick comparison
| Sierra | Decagon | |
|---|---|---|
| Tagline | Better outcomes. Built on Sierra. | The AI concierge for every customer |
| Founded | 2023 | 2023 |
| Headquarters | San Francisco, CA, USA | San Francisco, CA, USA |
| Pricing model | Outcome-based, quote only (no published price) | Enterprise quote only (no published price) |
| Recent scale signal | $400M+ ARR reported, $150M+ added in Q3 2026 | Not disclosed in sourced data |
| Recent corporate signal | Acquired Anon (browser-agent navigation) | Reportedly hired a bank to evaluate acquisition interest after early ServiceNow talks; ServiceNow denied interest |
| Public/private | Private | Private |
| Starting price | Quote only — no published price; sierra.ai/pricing returns 404 (Pay per resolved outcome, negotiated per deal) | Quote only — no published price; decagon.ai/pricing returns 404 (Negotiated per deal) |
Prices as published by each vendor, checked 7 October 2026; estimates are marked est.
Sierra reports $400M+ ARR, with more than $150M added in Q3 2026; Decagon shipped Voice 3, Personal Agent Gateway and a Partner Community this quarter.
Pricing breakdown
Sierra
- Custom (outcome-based)Quote only — no published price; sierra.ai/pricing returns 404 · Pay per resolved outcome, negotiated per deal
- Sierra states customers pay only when its agents achieve a specific, valuable outcome
- No seat or per-token pricing published
Decagon
- Custom (enterprise quote)Quote only — no published price; decagon.ai/pricing returns 404 · Negotiated per deal
- No pricing model, tiers or published price disclosed on decagon.ai
Neither vendor publishes a pricing page or tier list: sierra.ai/pricing and decagon.ai/pricing both return HTTP 404 (checked 2026-11-09), and each vendor's own scraped profile data flags pricing as a data gap. Sierra states publicly that it charges by outcome rather than by seat or token; Decagon states no pricing model publicly. Both are sold by custom quote.
Recent moves
Sierra
Decagon
Positioning
Sierra
How they describe themselves
“Sierra positions itself around outcome-based pricing — “build, deploy, and optimize production-ready AI agents that deliver measurable business outcomes” — and claims 40% of the Fortune 50 as customers, co-founded by Bret Taylor and Clay Bavor.”
What we see them doing
Sierra is layering enterprise-trust signals onto its outcome-pricing pitch: a reported $400M+ ARR with over $150M added in Q3 2026, a multiyear deal with insurer Guardian, induction into the JPMorganChase Hall of Innovation, a new Chief Information Security Officer, and the acquisition of browser-agent startup Anon to extend its agents into systems with no API.
Decagon
How they describe themselves
“Decagon positions itself as “the AI concierge for every customer,” a unified conversational AI platform across voice, chat and email, built on Agent Operating Procedures (AOPs) that let non-technical teams define agent workflows without SDKs.”
What we see them doing
Decagon is simultaneously shipping product (Voice 3, Agent Modules, Personal Agent Gateway, Duet Apprentice, and linking Autopilot directly to live-traffic Experiments), building a partner ecosystem (a new Partner Community with AWS/Google Cloud/Databricks/OpenAI marketplace access), and expanding its events pipeline (a first European Dialogues event in London and a new webinar series) — while also facing a Business Insider report that it hired a bank to evaluate a possible sale after early, since-denied ServiceNow talks.
When to choose which
When to choose Sierra
Choose Sierra when a large or regulated enterprise (financial services, insurance, telecom, retail, healthcare) wants an outcome-priced agent platform with a growing roster of credibility signals — a reported $400M+ ARR, a multiyear insurer deployment, a bank-grade innovation award, and newly acquired browser-agent capability for systems with no API.
When to choose Decagon
Choose Decagon when a team wants an omnichannel (voice, chat, email) concierge-style agent platform built on natural-language-defined Agent Operating Procedures, is comfortable with a vendor mid-build-out on partners and product (Voice 3, Experiments-linked Autopilot), and wants to track its upcoming European Dialogues event and webinar series rather than treat the reported acquisition-interest story as decided.
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Our take
Both vendors sell custom-quoted, outcome- or enterprise-priced AI agent platforms with no published pricing, so the real differentiation this quarter is in what each is proving. Sierra is stacking enterprise credibility signals — a reported $400M+ ARR with over $150M added in Q3, a multiyear insurer deal, a JPMorganChase innovation award, and a browser-agent acquisition (Anon) — consistent with its outcome-based pricing pitch to large, regulated buyers. Decagon is in a messier moment: it shipped a real product wave (Voice 3, Agent Modules, Personal Agent Gateway) and a new partner program, but Business Insider also reported it hired a bank to explore a sale after early ServiceNow talks that ServiceNow denied, while it is still running its own events pipeline (a London Dialogues debut and a new webinar series). A rep from either company should recognize these as live, sourced developments, not spin.
Sources
The facts on this page come from these sources: vendor pricing and product pages, review sites, press and public posts, each checked on the date shown.
- Sierra pageSupports: Sierra has no published pricing page; the URL returns a 404.
- Decagon pageSupports: Decagon has no published pricing page; the URL returns a 404.
- Sierra pageSupports: Sierra's own site states it charges by outcome rather than by seat or token, and gives its tagline and Fortune 50 claim.
- Decagon pageSupports: Decagon's own site gives its tagline and describes Agent Operating Procedures (AOPs) and the Duet AI partner.
- Sierra pageSupports: Sierra reports $400M+ ARR, with more than $150M added in Q3 2026 alone.
- Unite pageSupports: Sierra acquired Anon to add browser-agent navigation, letting its agents sign into websites and finish tasks where no API exists.
- Coverager pageSupports: Insurer Guardian signed a multiyear deal to run customer service, including dental benefit verification, on Sierra.
- LinkedIn pageSupports: Sierra was inducted into the JPMorganChase Hall of Innovation.
- Natlawreview pageSupports: At its Oct 1 Dialogues event, Decagon announced Voice 3 (with the Chord speech model), Personal Agent Gateway, Agent Modules and Duet Apprentice.
- Businessinsider pageSupports: Business Insider reported Decagon hired a bank to evaluate acquisition interest after early talks with ServiceNow, which ServiceNow publicly denied.
- LinkedIn pageSupports: Decagon launched a Partner Community combining technology and solution partners with co-sell, certification and marketplace access via AWS, Google Cloud, Databricks and OpenAI.
- LinkedIn pageSupports: Decagon connected Autopilot suggestions directly to Experiments for live-traffic testing.
- LinkedIn pageSupports: Decagon will stage its first European Dialogues event in London on Nov 12, 2026, with speakers from Spotify, Soho House & Co, Rituals and Deutsche Telekom (event has not yet occurred as of Nov 9, 2026).
Why a vendor comparison goes stale, and how fast
A like-for-like snapshot is true the week it’s written. It dates because the competitors themselves keep moving. Across the B2B SaaS competitors we monitor: we re-diff their public footprint every week, across 3,699 weekly comparisons (December 2025 – November 2026).
78.3%
changed their pricing page at least once
about 4 in 10
had a pricing change in a typical week
50.6%
changed their messaging in a typical week
Method: a “change” is a detected week-over-week diff on the monitored public page, excluding first-baseline records. Pooled across 226 competitors; computed live from IndustryLens monitoring and refreshed daily.