Sierra raises $950M as enterprise AI agents race heats up with $15B valuation

Sierra raises $950M as the race to own enterprise AI gets serious | TechCrunch

Bret Taylor's AI startup Sierra has closed a $950 million funding round led by Tiger Global and GV, the company announced Monday, pushing its post-money valuation above $15 billion. The raise gives Sierra more than $1 billion to work with -- capital the company says it will use to become the "global standard" for AI-powered customer experiences. Like a lot of AI companies, Sierra has, smartly, been very proactive in touting its own growth in a crowded market. The company says it started with just four design partners a couple of years ago. Today it claims to have more than 40% of the Fortune 50 as customers, and says the agents running on its platform are handling billions of interactions, from refinancing mortgages to processing insurance claims, managing returns, and powering nonprofit fundraising campaigns. Indeed, the funding news follows a stretch of breakneck revenue growth as shared by Sierra, which first said it hit $100 million in annual recurring revenue in late November, then published a post in early February, saying it had hit $150 million in ARR. That pacing reflects both the urgency enterprises feel about deploying AI and the costs that come with it. Taylor, who also serves as chairman of OpenAI and was formerly co-CEO of Salesforce, has said that the best-case outcome for agentic AI is lower costs and higher revenue for clients, but before those returns materialize, the ramp-up phase can be pricey. That exactly scenario showed up in a conversation at one of TechCrunch's StrictlyVC events last week. Uber CTO Praveen Neppalli Naga put it plainly in conversation with this editor, saying that Uber "blew through our [AI] budget" soon after opening the door to agentic AI tools late last year. He also said the company is starting to see meaningful results. Across a staff of roughly 8,000 engineers and technical workers, about 10% of all code being produced at the company is now generated autonomously, he said, adding: "10 percent at our scale is huge." As a proof-of-concept, Uber tasked one team with building a new hotel-booking integration using only agentic workflows. Work that would normally take a year was done in six months, he said. Sierra is also moving to expand what its platform can do beyond customer-facing agents. In April, the company launched Ghostwriter, an "agent as a service" tool designed to build other agents. Users describe what they need in natural language, and Ghostwriter autonomously creates and deploys a specialized agent to handle it. For Taylor, the tool underlines a broader thesis he laid out at the HumanX conference in San Francisco last month. Many enterprise software tools, he argued, are barely used -- employees log into Workday when they onboard and again at open enrollment, and that's about it. The future Sierra and its investors are betting on is one where people never need to navigate complex systems at all.

Bret Taylor's Sierra raises nearly $1 billion months after last capital push

Bret Taylor, co-founder and CEO of Sierra, speaking to CNBC at the World Economic Forum in Davos, Switzerland on Jan. 22nd, 2026. Artificial intelligence startup Sierra is raising nearly a billion dollars in a new funding round as venture capital investors search for winners in an ongoing deal spree. The San Francisco-based company brought in $950 million in fresh capital at a $15.8 post-money valuation, led by Tiger and Google's GV. Benchmark, Sequoia, Greenoaks and other existing investors also participated. The startup was founded three years ago by OpenAI chairman and former Salesforce co-CEO Bret Taylor, with former Google executive Clay Bavor. Taylor was also chief technology officer at Facebook, and chairman of Twitter when Elon Musk bought the social media network. The Sierra founders met at Google, where Taylor was largely credited with helping create Google Maps and Bavor led virtual reality efforts and Google Labs. Sierra sells AI customer service agents and is positioning itself as a leader in a new class of software companies built on top of foundational models from OpenAI and Anthropic. According to Taylor, the company leverages a "constellation of models" alongside its own fine-tuned proprietary layers. Sierra topped $150 million in annual recurring revenue, or ARR, in eight quarters, according to the company. That growth timeline is unprecedented in traditional software and highlights "intense demand in the market," Taylor said. "There's a really big addressable market and immediate opportunity," Taylor said. "We've sort of digitized the last remaining analog channel, which is the telephone line -- it's a better experience. You don't need to wait on hold. These agents are naturally multilingual." Taylor estimated that $400 billion is spent annually on customer service. A bulk of that, he said, is moving to AI agents.

AI agent startup Sierra valued at $15B in new $950M funding round - SiliconANGLE

Eight months after closing a $350 million funding round, Sierra Technologies Inc. today announced that it has raised another $950 million at a $15 billion valuation. Alphabet Inc.'s GV venture capital arm and Tiger Global led the investment. They were joined by Benchmark, Sequoia, Greenoaks and several others. Sierra was founded in early 2024 by OpenAI Group PBC board chair Bret Taylor (pictured, left) and former Google LLC executive Clay Bavor (right). The company sells tools that help organizations build artificial intelligence agents. According to Sierra, its software has been adopted by nearly half the Fortune 50 and generates $150 million in annual recurring revenue. The platform's core component is a developer tool called the Agent SDK. It enables software teams to create AI agents without building everything from scratch. The tool ships with a set of pre-packaged agent skills. Several focus on helping agents find the data necessary to answer user questions. Others automate more complex activities such as prioritizing technical support requests by urgency. According to Sierra, developers can mix and match skills into an automation workflow that performs multiple-step tasks. Activating a pre-defined automation workflow is less complicated than generating a new plan for how to process a user request. As a result, there are fewer opportunities for AI agents to make mistakes, which can lower the risk of output errors. For added measure, Agent SDK enables developers to define guardrails that block erroneous AI output. The tool can test a newly created agent's output quality by simulating user interactions. After developers verify that the agent works as expected, they can integrate it with their company's systems using a set of pre-packaged connectors. Sierra's connectors make it possible to give an AI assistant access to externally-hosted datasets such as knowledge bases. Furthermore, they enable agents to take actions on the user's behalf. A software-as-a-service startup, for example, could build an agent that can switch customers to a new subscription tier without input from the support team. Sierra sells Agent SDK alongside several other tools. There's Agent Studio, which provides similar agent development features but doesn't require users to write code. For customer service teams, Sierra offers a tool called Live Assistant that generates pointers on how to process support tickets.

OpenAI Veteran Raises $950 Million for AI Customer Service Agents | PYMNTS.com

That new financing values the company, which makes AI customer service agents, at $15.8 billion, CNBC reported Monday (May 6). Sierra was founded three years ago by OpenAI Chairman and former Salesforce Co-CEO Bret Taylor, along with former Google executive Clay Bavor. Taylor told CNBC the company employs a "constellation of models" as well its own fine-tuned proprietary layers. The company said it surpassed $150 million in annual recurring revenue, or ARR, in eight quarters. Taylor said that the growth timeline is unprecedented in traditional software and underlines "intense demand in the market." "There's a really big addressable market and immediate opportunity," Taylor said. "We've sort of digitized the last remaining analog channel, which is the telephone line -- it's a better experience. You don't need to wait on hold. These agents are naturally multilingual." Taylor estimated that $400 billion is spent annually on customer service, with most of that shifting to AI agents. "Agentic AI represents a shift from tools that inform decisions to systems that execute them. For CFOs, this changes the calculus," that report said. "The question is no longer whether artificial intelligence can improve finance operations, but whether it can do so within a framework of control and accountability." This is where the "agentic AI harness" comes into play. Though the term might seem technical, its implications are deeply operational. The harness is not the model itself, but the system that dictates how models function in the real world. "It defines what an AI agent can access, what it is allowed to do, how it is monitored and when it must defer to a human," PYMNTS added. "For chief financial officers, understanding this layer is becoming as important as understanding internal controls or capital allocation."