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Floqer to Launch Its AI Client Base in Early 2027

🛠️ AI Tools·Tom Levy·

Floqer to Launch Its AI Client Base in Early 2027

Floqer to Launch Its AI Client Base in Early 2027
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Key Takeaways
1Floqer plans to open its customer knowledge base technology in early 2027, following security reviews
2The startup claims over 1,000 clients, 8 employees, and $1.2M in ARR, with an annual growth of about x10
3Its AI agent platform automates prospecting, account enrichment through 100+ sources, and continuous record updates; clients report up to 70% time saved
💡Why it matters — Floqer combines prospecting automation and technological openness, addressing both the demand for data control and the need for efficiency for sales teams.

Floqer aims to release its customer knowledge base technology as open source, targeting a launch in early 2027 after security reviews. The startup, which claims over 1,000 clients and $2 million raised in pre-seed funding, automates prospecting through AI agents and reports having surpassed $1.2 million in ARR. It is preparing a presentation for the Startup Battlefield at TechCrunch Disrupt 2026.

Traction, Funding, and Limited Access

Floqer has raised $2 million in pre-seed funding, with participation from the F7 Fund of Perplexity, N49P, Tidal Venture Partners, and Denis Yarats. The company claims to have over 1,000 clients, including Perplexity, Wise, and AngelList, and employs eight people. It also states that it has crossed $1.2 million in ARR and achieved approximately tenfold revenue growth over the past year. Despite this traction, access to its customer knowledge base remains limited, with the startup explaining that it is managing demand with its current capabilities. Before any broader access, security reviews are underway, as the database may contain sensitive information and is already being used by large companies.

What Floqer's AI Agents Do

Floqer provides a platform equipped with an AI-based database designed to centralize, structure, and continuously update customer information for B2B teams. Users specify their criteria, and AI agents explore multiple sources to generate lists of suitable companies and contacts. The system enriches accounts from over 100 third-party sources. To verify emails or phone numbers, a cascading approach queries several providers in succession until a usable piece of data is found. The platform also continuously monitors the web to reflect events such as job changes, promotions, or new company funding in customer records. Floqer presents this setup as a fleet of agents operating in the background to spare teams from manual work.

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Reported Usage Gains and Prospecting Context

Prospecting typically requires long hours of research scattered across Google, LinkedIn, company websites, job platforms, and other databases to select relevant companies, identify the right contacts, and obtain their information. According to the company, some clients have reported time savings of up to 70% in prospecting.

Moving to Open Source in Early 2027, Driven by Clients

Floqer plans to open the code for the technology that supports its customer knowledge base, with a targeted launch in early 2027 pending security reviews. Shivam Mahajan believes this openness will help overcome the current access limitations. He notes that some companies wish to host their own data rather than entrust it to a proprietary platform, while others want to modify the technology or build upon it. The startup is also set to present on Wednesday at the Startup Battlefield stage during TechCrunch Disrupt 2026.

Product Origins and Founding Team

Founded in 2024 by Shivam Mahajan and Zaaheda Islam, the company formed after their meeting at university. Mahajan was previously a software engineer at Kyndryl, and Islam was a senior data scientist at Axis Capital. Their first product, a Chrome extension named Super Chat, allowed users to connect with a ChatGPT account to understand information and take notes. They observed that companies were using it to clean their CRM data. Conversations with these users showed, according to Mahajan, that this cleaning remained largely manual and poorly guided by processes, leading to the pivot to the current platform. Mahajan summarizes the company's mission as helping every team build its central source of growth.

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