★ Breaking
Sierra raises $950M Series E at $15.8B valuation 40% of the Fortune 50 now run Sierra agents ARR jumps from $100M to $150M in 90 days Ghostwriter launches: agents that build agents Tiger Global + GV lead the round; Sequoia, Benchmark follow Bret Taylor's third act is also his loudest Voice agents now live across nine global offices
YESPRESS / Company Profile San Francisco · California · USA Updated May 2026
Sierra logo
Company · AI · Enterprise · Series E

Sierra.

The quiet $15.8B company teaching the Fortune 50 how to talk to its customers again - one agent at a time.

↳ The logo most of your bank, insurer, and mattress company already pays to keep off the call.

It is 2:47 a.m. and a woman in Tulsa is trying to refinance her mortgage. She does not know it, but the voice on the other end of the phone is a Sierra agent. It does not put her on hold. It does not ask for her account number twice. It just finishes the job.

Who they are now

The largest AI company most customers will never meet

Sierra is, by design, invisible. The company does not run a consumer app. It does not sell a chatbot in an app store. What it sells is the conversation itself - the one that used to live inside a call center in Manila or a chatbot widget that never quite worked. Sierra ships AI agents that handle phone calls, returns, insurance claims, and account changes for some of the largest companies on the planet.

The roster is the giveaway. Prudential. Cigna. Blue Cross Blue Shield. Rocket Mortgage. CLEAR. Casper. Minted. One in three of the world's largest banks. More than 40% of the Fortune 50. If you have called a customer service line in the last six months and had a surprisingly good time, there is a real chance Sierra was on the line.

Sierra does not build chatbots. It builds the part of the company you actually have to speak to. - YesPress
The problem they saw

The call center never worked

For 40 years, customer service has been the unloved cost center of every public company. It is the line item that grows when the business grows and the department that gets cut first when the business doesn't. Outsourced. Scripted. Chatbotted. Rebranded as "customer success." Nothing fixed it. Customers still hated calling. Companies still hated paying.

Sierra's founders saw the same chart everyone else saw - call volume up, satisfaction down, headcount unsustainable - and asked a different question. Not "how do we make the call shorter?" but "what if a customer could actually finish the thing they called about?" Most companies had quietly given up on that being possible.

The old answer was scale the script. Sierra's answer was kill the script. - on the founding bet
The founders' bet

A résumé that buys the room

Bret Taylor co-created Google Maps. He was Facebook's CTO. He co-CEO'd Salesforce. He chairs OpenAI's board. The standing joke in Silicon Valley is that Bret has already worked at the four companies your kids are going to interview at. Clay Bavor spent 18 years at Google running Labs, AR/VR, and Workspace. When the two left in 2023 to start something together, the question was not whether they would raise money. The question was what they were going to do with the room.

The bet was specific and a little contrarian. Most generative AI startups in 2023 were chasing the consumer - new chat interfaces, new search engines, new toys. Sierra walked in the opposite direction, toward the part of the enterprise software stack everyone else found boring. The thesis: customer service was the first place where AI would be allowed to do real work, because the alternative - an unanswered phone or a 47-minute hold - was already worse than anything a model could plausibly do.

The customer wall

Names Sierra is willing to print
  • CLEAR
  • Casper
  • Minted
  • Prudential
  • Cigna
  • Blue Cross Blue Shield
  • Rocket Mortgage
  • 1 in 3 of the world's largest banks
The product

An agent platform, not a magic box

Sierra ships software, not promises. The platform has grown into a small suite, and each piece is aimed at a specific person inside a customer's org.

Agent Studio

A visual builder for the people who used to write IVR call trees, except this time the tree actually answers back.

Agent SDK

For engineers who want to wire agents into custom tools and internal APIs without filing a ticket with procurement.

Voice

Real-time voice agents. Sub-second latency. Will not say "I'm sorry, I didn't catch that" for the 12th time.

Live Assist

A co-pilot for human reps. Quietly drafts the next sentence so the human can think about the customer instead.

Insights

The analytics layer. What customers actually asked. Where they gave up. Who solved it. Useful to managers, occasionally to legal.

Ghostwriter

Launched April 2026. You describe an agent in English. It builds the agent. Yes, an agent that ships agents.

The most underrated feature on Sierra's platform is that it works on a phone call. - Voice is the moat

The two-year sprint

A milestone tape that didn't slow down
2023
Bret Taylor and Clay Bavor quietly start Sierra in San Francisco.
2024
Public launch. Early enterprise design partners go live. Sequoia and Benchmark seed the rocket.
Sept 2025
$350M round led by Greenoaks at a $10B valuation. Sierra is now officially a decacorn.
Nov 2025
ARR hits $100M. The growth curve stops looking like a startup and starts looking like a category.
Feb 2026
ARR crosses $150M. 90 days, +$50M. Nobody calls it modest.
Apr 2026
Ghostwriter launches. Agents are now writing agents in production.
May 2026
$950M Series E led by Tiger Global and GV. Post-money: $15.8B.
The proof

The numbers stopped being arguable

For most of 2024, the polite skepticism around enterprise AI was that the demos were impressive and the deployments were not. Sierra's response was a revenue chart. ARR went from a rounding error to $150M in roughly 18 months. Eight months between a $10B round and a $15.8B round. The growth was not the kind a company manufactures for a pitch deck - it was the kind that shows up because customers keep signing more seats.

Sierra ARR · the line that closed the round

All figures approximate, in USD millions, per public reporting
2024~$5M
Mid 25~$40M
Nov 25$100M
Feb 26$150M
2026scaling

↳ The kind of slope investors quote without rounding.

$100M to $150M in 90 days. The chart stopped being a chart and started being an argument. - the Series E pitch, in one line
The mission

Making AI sound a little more like a person who cares

Sierra writes its mission almost embarrassingly plainly: help businesses build better, more human customer experiences with AI. The wording is unfashionable. Most AI companies in 2026 are writing manifestos. Sierra is writing service-level agreements.

The interesting part is the second word: human. The pitch is not that AI will replace the agent. The pitch is that AI will replace the part of the agent's job that everyone hates - the password reset, the address change, the third call about the same package. Humans get the rest. It is a stance that is almost impossible to disagree with, which may be why the Fortune 50 keeps signing up for it.

Why it matters tomorrow

The category Sierra is quietly inventing

If Sierra is right, "AI agent" is not a feature. It is a tier of the enterprise software stack, the way CRM became a tier in the 2000s and data warehouses became one in the 2010s. Salesforce - where Bret Taylor was co-CEO - did not invent customer relationships. It just gave companies a single place to put them. Sierra is making the same bet on conversations.

The competitive picture is getting crowded. Every model lab is shipping agents. Every CRM vendor is bolting on agent features. What Sierra has that the rest do not yet, by every public metric, is the customer list and the revenue to back it up. The Ghostwriter launch in April hinted at the next move: a platform where the agent's job is to build the next agent. If that works at scale, Sierra stops being a product company and becomes infrastructure.

The next decade's enterprise software is not going to be apps. It is going to be agents. Sierra is building the studio. - the long bet, in plain English

It is 2:47 a.m. and the woman in Tulsa has finished refinancing her mortgage. She is back in bed in eleven minutes. She will not write a review. She will not tell her friends. She will just notice, the next time she calls a bank, that this one was different. That is the metric Sierra is being valued on. ↳ quiet win

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