Sierra

Sierra

Conversational AI for customer service enhancement

About Sierra

Simplify's Rating
Why Sierra is rated
C
Rated D+ on Competitive Edge
Rated B on Growth Potential
Rated C on Rating Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

201-500

Company Stage

Early VC

Total Funding

$285M

Headquarters

San Francisco, California

Founded

2023

Overview

Sierra.ai focuses on conversational AI to enhance customer service by providing automated interactions tailored to business needs. Their AI agents can manage complex tasks like updating CRM cases and handling deliveries, ensuring they align with the client's brand voice. Operating on a subscription model, Sierra.ai serves clients such as Sonos and SiriusXM, boasting a customer satisfaction score of 4.6 out of 5. The company's goal is to improve customer interactions through real-time support and actionable solutions while maintaining data security and transparency.

📈
Significant Headcount Growth
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Simplify's Take

What believers are saying

  • Sierra.ai has a high customer satisfaction rate of 4.6 out of 5.
  • The company recently raised $175 million, boosting its valuation to $4.5 billion.
  • Sierra.ai's subscriber base has grown to 34 million, demonstrating scalability.

What critics are saying

  • Competitors like Anthropic are advancing rapidly, challenging Sierra's market position.
  • Salesforce's Agentforce Testing Center may attract Sierra's clients with enhanced evaluation tools.
  • Regulatory pressures on AI safety could impact Sierra's operations and compliance.

What makes Sierra unique

  • Sierra.ai offers AI agents that align with client brand tone and voice.
  • The company ensures data governance, using client data solely for model training.
  • Sierra.ai's AI agents are deterministic, following client policies and security procedures.

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Funding

Total Funding

$285M

Above

Industry Average

Funded Over

1 Rounds

Notable Investors:
Early VC funding comparison data is currently unavailable. We're working to provide this information soon!
Early VC Funding Comparison
Coming Soon

Growth & Insights and Company News

Headcount

6 month growth

↑ 21%

1 year growth

↑ 18%

2 year growth

↑ 10%
PYMNTS
Apr 14th, 2025
Ai App Startups Making Rapid Gains In Sales And Funding

Startups that build artificial intelligence (AI) applications on top of large language models (LLMs) are reportedly making rapid gains in both sales and funding. These startups are reaching as much as $200 million in annual recurring revenue in less than two years and, as a group, increased the amount of funding they attracted by 110% to reach $8.2 billion in 2024, the Financial Times (FT) reported Monday (April 14), citing data from Dealroom.co and Flashpoint. This category of AI startups includes companies like Perplexity, Synthesia,  ElevenLabs, Harvey and Sierra, according to the report

O'Dwyer's
Mar 6th, 2025
On the Move: Sierra Hires Whetstone

Whetstone joined Sierra on March 3.

VentureBeat
Feb 24th, 2025
Anthropic’S Claude 3.7 Sonnet Takes Aim At Openai And Deepseek In Ai’S Next Big Battle

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Anthropic just fired a warning shot at OpenAI, DeepSeek and the entire AI industry with the launch of Claude 3.7 Sonnet, a model that gives users unprecedented control over how much time an AI spends “thinking” before generating a response. The release, alongside the debut of Claude Code, a command-line AI coding agent, signals Anthropic’s aggressive push into the enterprise AI market — a push that could reshape how businesses build software and automate work.The stakes couldn’t be higher. Last month, DeepSeek stunned the tech world with an AI model that matched the capabilities of U.S. systems at a fraction of the cost, sending Nvidia’s stock down 17% and raising alarms about America’s AI leadership

PYMNTS
Feb 20th, 2025
In The Genai Era, Why Are Customer Service Chatbots Dumb?

When ChatGPT first burst onto the scene, it sparked a wave of enthusiasm about how generative artificial intelligence (GenAI) could revolutionize online customer service. Finally, users won’t have to be frustrated by the canned answers of basic chatbots that often miss the mark. Instead, they could engage with a helpful, chatty AI chatbot that could understand their needs and — in the age of AI agents — complete the task. No need to call or text a human agent. More than two years later, many customer-facing chatbots aren’t smarter. Instead, AI has been relegated to helping human representatives research company policies and product information that they can give to customers

VentureBeat
Nov 21st, 2024
Salesforce Launches Agentforce Testing Center To Put Agents Through Paces

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. The next phase of agentic AI may just be evaluation and monitoring, as enterprises want to make the agents they’re beginning to deploy more observable.While AI agent benchmarks can be misleading, there’s a lot of value in seeing if the agent is working the way they want to. To this end, companies are beginning to offer platforms where customers can sandbox AI agents or evaluate their performance.Salesforce released its agent evaluation platform, Agentforce Testing Center, in a limited pilot Wednesday. General availability is expected in December. Testing Center lets enterprises observe and prototype AI agents to ensure they access the workflows and data they need. Testing Center’s new capabilities include AI-generated tests for Agentforce, Sandboxes for Agentforce and Data Cloud and monitoring and observability for Agentforce. AI-generated tests allow companies to use AI models to generate “hundreds of synthetic interactions” to test if agents end up in how often they answer the way companies want

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