Floqer 是一个自主客户知识平台，为企业对企业的销售和营销团队提供一个由人工智能驱动的数据库，旨在持续收集、组织和更新用于了解客户的信息。
Floqer is an autonomous customer knowledge platform that provides business-to-business sales and marketing teams with an AI-powered database designed to continuously collect, organize, and update the information used to understand their customers.
Floqer 将于周三在 TechCrunch Disrupt 2026 的 Startup Battlefield 舞台上进行路演。该初创公司在演讲前告诉 TechCrunch，它计划开源其自主客户知识数据库背后的技术。它瞄准 2027 年初发布，前提是通过安全审查。
Floqer is pitching Wednesday on the Startup Battlefield stage at TechCrunch Disrupt 2026. The startup told TechCrunch ahead of the presentation that it plans to open-source the technology behind its autonomous customer knowledge database. It’s targeting early 2027 for the release, pending security reviews.
Floqer 还表示，其年经常性收入（ARR）已超过 120 万美元，且其总收入在过去一年里大约增长了十倍。
Floqer also says it has surpassed $1.2 million in annual recurring revenue (ARR), and that its overall revenue has grown roughly tenfold over the past year.
该初创公司由首席执行官 Shivam Mahajan 和在大学相识的 Zaaheda Islam 共同创立。在创立 Floqer 之前，Mahajan 在 Kyndryl 担任软件工程师，而 Islam 在 Axis Capital 担任高级数据科学家。
The startup was founded by Shivam Mahajan, the CEO, and Zaaheda Islam, who met at university. Before Floqer, Mahajan worked as a software engineer at Kyndryl, and Islam as a senior data scientist at Axis Capital.
Floqer 的第一款产品与当前产品完全不同。“我们最初是从一个 Chrome 扩展开始的，名为 ‘Super Chat’，”Mahajan 在本月早些时候接受 TechCrunch 采访时表示。“任何人都可以使用他们的 ChatGPT 账户访问该扩展，然后理解[信息]并做笔记。”创始人很快发现，企业公司正在使用该扩展来清理其客户关系管理（CRM）系统中的数据。与这些公司的交流表明，保持 CRM 数据清洁主要是手动工作，且鲜有成熟的流程来保持客户记录的及时更新。
Floqer’s first product looked nothing like its current one. “We started with a Chrome extension, which is called ‘Super Chat,’” Mahajan told TechCrunch in an interview earlier this month. “Anybody can go and with their ChatGPT account and then understand [information] and take notes.”The founders soon noticed that enterprise companies were using the extension to clean up data in their customer relationship management (CRM) systems. Conversations with those companies showed that keeping CRM data clean was mostly manual work, with few established processes for keeping customer records up to date.
“当我们与他们交谈时，他们告诉我们，对他们来说，手动清理CRM数据非常麻烦，而且围绕这件事没有建立的流程，”马哈詹说。“因此，这对我们很有启发，随后我们从那里转向，开始构建Floqer。”Floqer试图解决的问题，对任何曾在销售或收入运营领域工作过的人来说都很熟悉。寻找潜在客户需要花费数小时在谷歌、领英、公司网站、招聘网站以及其他来源上搜索，以确定符合特定画像的公司，然后追踪到合适的人及其联系方式。
“When we spoke with them, they told us that it’s super manual for them to clean their CRM data, and there were no established processes around that,” Mahajan said. “So that was insightful for us, and then we pivoted from there to build Floqer.”The problem Floqer is trying to solve is familiar to anyone who has worked in sales or revenue operations. Finding potential customers takes hours of searching Google, LinkedIn, company websites, job boards, and other sources to identify companies that fit a particular profile, then tracking down the right people and their contact information.
Floqer旨在自动化其中的大部分研究工作。用户可以描述他们想要什么，其AI代理会在不同来源之间搜索，以构建相关公司和联系人的名单。
Floqer aims to automate much of that research. Users can describe what they are looking for, and its AI agents search across different sources to build lists of relevant companies and contacts.
该公司表示，其系统可以通过超过100个第三方数据源来丰富账户信息，即为销售团队所瞄准的公司添加更多细节。当需要验证的电子邮件地址或电话号码时，Floqer采用“瀑布”方式，依次检查一个又一个数据提供商，直到找到可用信息。
The company says its system can enrich accounts, or add detail about the companies a sales team is targeting, using more than 100 third-party data sources. When it needs a verified email address or phone number, Floqer uses a “waterfall” approach, checking one data provider after another until it finds usable information.
该系统还会持续监控网络上的变化。如果潜在客户换了工作、获得晋升，或所在公司获得新一轮融资，这些更新都可以反映在用户的客户记录中。
The system also continuously monitors the web for changes. If a prospect changes jobs, gets promoted, or works at a company that raises new funding, those updates can be reflected in the user’s customer records.
Floqer将其技术描述为一支AI代理舰队，该舰队持续研究公司、人员和客户互动，从而让团队成员无需手动执行这些工作。根据公司说法，客户报告称，潜在客户开发时间最多可减少70%。
Floqer describes the technology as a fleet of AI agents that continuously research companies, people, and customer interactions, so team members don’t have to perform that work manually. According to the company, customers have reported cutting prospecting time by as much as 70%.
“我们的自主客户知识数据库仅对有限受众开放，主要原因在于我们团队能够妥善服务的需求量有限，”马哈詹说。“但开源它将帮助我们解决这个问题。”这一决定部分是为了回应客户需求。马哈詹表示，一些公司希望自行托管数据，而不是将其保留在供应商的专有平台内。还有些公司希望修改该技术或在此基础上进行开发。
“Our autonomous customer knowledge database is only available to a limited audience, mostly due to how much demand our team can actually serve properly,” Mahajan said. “But open-sourcing it will help us fix that.”The decision comes partly in response to customer demand. Mahajan said some companies want to host their own data rather than keep it inside a vendor’s proprietary platform. Others want to modify the technology or build on top of it.
“我们的使命是真正使每个团队能够构建其增长的核心来源，”马哈詹说。
“Our mission is to really enable every team to build their central source of growth,” Mahajan said.
在公开发布数据库之前，Floqer正在进行安全审查，因为该数据库可能包含敏感客户信息，且已有大型企业在使用它。
Before releasing the database publicly, Floqer is conducting security reviews because the database can contain sensitive customer information and large companies already use it.
Floqer成立于2024年，已获得200万美元的Pre-Seed轮融资，参与投资者包括Perplexity的F7基金、N49P、Tidal Venture Partners以及Perplexity联合创始人Denis Yarats。该公司表示目前拥有八名员工和超过1000名客户，其中包括Perplexity、Wise和AngelList。
Floqer was founded in 2024 and has raised $2 million in pre-seed funding, with participation from investors such as Perplexity’s F7 Fund, N49P, Tidal Venture Partners, and Perplexity co-founder Denis Yarats. It says it now has eight employees and more than 1,000 customers, including Perplexity, Wise, and AngelList.