Glean的年收入突破3亿美元,削减AI预算成为其主要卖点

内容总结:
企业AI搜索公司Glean年收入突破3亿美元,15个月翻三倍
被誉为“企业级谷歌”的AI搜索初创公司Glean宣布,其年度经常性收入(ARR)已达到3亿美元。这一数字较15个月前的1亿美元里程碑实现了两倍增长,增速惊人。
在众多AI初创公司快速扩张的背景下,Glean的表现尤为突出。这家成立七年的公司,在长期作为企业AI搜索赛道“独行者”后,随着谷歌、微软、OpenAI、Anthropic、Salesforce及Atlassian等科技巨头纷纷推出竞品,反而加速了增长。
Glean CEO阿尔温德·贾因表示:“公司成立前四五年,我们完全没有竞争。如今搜索对企业AI应用至关重要,全球每家公司都想涉足这个领域。”他认为,先行者优势固然重要,但提供更优质的产品同样关键。
贾因指出,Glean的胜出在于其AI工具能深度理解客户业务需求。通过连接并学习企业内部软件系统,Glean构建了时下流行的“上下文图谱”。他声称,这一图谱还能帮助企业削减AI计算成本:“将AI接入Glean后,它能提供工作所需的一切信息,相比直接向系统喂数据,AI消耗的令牌(token)数量大幅减少,执行的操作也更少。”
在众多企业AI预算超支的当下,节省令牌成本已成为Glean的核心卖点。贾因透露:“客户非常看重的一点是,Glean能显著降低他们的AI账单。”
Glean在去年6月完成1.5亿美元F轮融资后,估值达72亿美元。其客户包括Databricks、Reddit、Pinterest和三星等。公司提供按使用量付费的消费模式,以及针对活跃用户的固定月费叠加模型消耗费用的混合模式。
需要指出的是,Gleen的3亿美元收入中部分来自消费模式,其用户活动波动性较大,严格意义上并非传统订阅制经常性收入,因此这部分更准确的说法应为“年化收入运行率”。截至发稿,Glean未就此作出回应。
中文翻译:
Glean——这家常被称为“企业级谷歌”的公司——宣布其年度经常性收入(ARR)已达3亿美元,较15个月前突破1亿美元里程碑时增长了两倍。
尽管众多人工智能初创企业正以惊人速度增长,Glean的进展尤为显著。在多年近乎独占这一赛道后,这家成立七年的初创公司正加速发展,而科技巨头们正携竞品涌入企业AI搜索市场。
“成立的头四五年里,我们完全没有竞争对手,”Glean首席执行官阿尔温德·贾恩告诉TechCrunch,“鉴于搜索对于在企业环境中应用AI至关重要,全球每家公司都想涉足这个领域。”
打造类似Glean工具的科技巨头包括谷歌、微软、OpenAI、Anthropic、Salesforce和Atlassian。
贾恩认为,率先进入该领域具有价值,但提供更优质的产品同样重要。
据贾恩称,Glean较竞争对手的优势在于其AI工具对客户业务需求的深刻理解。Glean的AI通过连接和学习企业内部软件系统,实现了这种知识——这正是新流行术语“上下文图谱”所涵盖的概念。
贾恩声称,Glean的上下文图谱还能帮助企业降低AI计算成本。
“如果将AI接入Glean,它会提供完成工作所需的所有信息,这比直接将AI接入自有系统消耗的Token数要少得多,”贾恩表示。他补充道,这是因为使用Glean后,AI最终执行的操作更少。
在众多公司AI预算超支的当下,Token成本节省已成为Glean的主要卖点。
“我们客户特别喜欢Glean的一点,就是它能大幅降低AI费用,”他说。
这家公司在去年6月完成1.5亿美元F轮融资时估值达72亿美元,目前为包括Databricks、Reddit、Pinterest和三星在内的客户提供多种定价方案。
据贾恩介绍,Glean既提供按使用付费的消费模式,也提供混合模式——即活跃用户固定月费加上模型使用单独计费。
Glean绝非首家采用这种模式的公司,但值得注意的是,其3亿美元里程碑不能完全定义为传统ARR,因为消费模式本质上不具备严格意义上的经常性成分。
纯消费定价模型取决于波动的用户活跃度而非可预测的订阅续约,因此Glean收入的更准确表述应为年化收入运行率。
Glean未立即回应置评请求;若公司回复,本文将进行更新。
英文来源:
Glean, a company often described as the Google for enterprise, said it has reached $300 million in annual recurring revenue (ARR), a three-fold increase from the $100 million milestone it reached just 15 months ago.
While many AI startups are growing at a blistering pace, Glean’s progress is particularly remarkable. After years of essentially being the only player in the category, the seven-year-old startup is accelerating its growth as tech giants enter the enterprise AI search market with rival products.
“The first four or five years of our existence, we had no competition,” Glean CEO Arvind Jain told TechCrunch. “Given how important search is to make AI work in the enterprise, every single company in the world wants to be in this space.”
Tech heavyweights building Glean-like tools include Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian.
Jain maintains that there’s value in being a first mover in the space, but that it’s also equally important to offer a better product.
What Glean does better than its competition, according to Jain, comes down to the deep understanding that its AI tools have of customers’ business needs. Glean’s AI achieves this knowledge — a concept captured by the new, popular term “context graph” — by connecting to and learning from enterprises’ internal software systems.
Jain claims that Glean’s context graph also helps enterprises cut AI computing costs.
“If you connect your AI to Glean, it gives you all the information that you need to do your work, and that results in AI consuming far fewer tokens compared to if you unleash AI onto your systems directly,” Jain said. That’s because with Glean, AI ends up performing fewer operations, he added.
At a time when many companies are blowing through their AI budgets, those token cost savings have become a major selling point for the company.
“One of the things you know our customers really like about Glean is the fact that we can reduce your AI bill significantly,” he said.
The company, which was last valued at $7.2 billion when it raised a $150 million Series F last June, offers various pricing structures to its customers, which include Databricks, Reddit, Pinterest, and Samsung.
According to Jain, Glean offers both a consumption-based model, where clients pay per use, and a hybrid model that combines a fixed monthly fee for active users with separate usage fees for model consumption.
Glean is definitely not the first company to do this, but it’s worth pointing out that the company’s $300 million milestone cannot be fully described as traditional ARR, because a consumption model by definition doesn’t have a strictly recurring component.
Pure consumption pricing models depend on fluctuating user activity rather than predictable subscription renewals, therefore a portion of Glean’s topline is more accurately described as an annualized revenue run rate.
Glean did not immediately respond to a request for comment; this post will be updated if the company replies.
文章标题:Glean的年收入突破3亿美元,削减AI预算成为其主要卖点
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