AI sales intelligence firm Floqer will release its CRM platform as open-source by 2027. The company reports $1.2 million in annual revenue and counts firms like Perplexity and Wise as clients. As a private startup, Floqer is not available for trading on any stock exchange, and its business model faces risks common to early-stage technology firms.
Floqer, a startup focused on artificial intelligence for sales prospecting, has announced plans to make its core customer knowledge platform open-source by 2027. This move marks a significant shift for the company, which currently operates as a proprietary, closed system. By opening its underlying technology to the public, Floqer aims to allow enterprises to host data locally and integrate the platform into their own custom systems, a feature increasingly requested by larger corporate clients.
Scaling the Autonomous Sales Platform
Founded in 2024 by Shivam Mahajan and Zaaheda Islam, Floqer acts as an automated system to replace manual labor in sales lead research. The platform uses AI agents to scour public data sources, such as job changes and corporate funding news, to keep customer relationship management (CRM) records updated automatically. The company claims this system reduces the time employees spend on manual lead research by up to 70%. Its current client list includes notable names like Perplexity, Wise, and AngelList.
Financial Growth and Funding
The company has reported a rapid growth phase, achieving $1.2 million in annual recurring revenue. This represents a tenfold increase over the past twelve months, highlighting a strong demand for tools that automate data entry and cleaning. Floqer is backed by $2 million in pre-seed funding, with support from investors including the F7 Fund—which is affiliated with Perplexity—and N49P.
Business Risks and Market Context
Investors should note that Floqer is a private company and is not listed on the NSE, BSE, or any other stock exchange. There is no ticker symbol, and the company’s shares are not available for public trading.
Operating in the sales intelligence and CRM automation space brings specific challenges. The market is crowded with many established and new AI competitors offering similar automation tools. Shifting to an open-source model carries its own risks, particularly regarding the protection of intellectual property and the challenge of building a sustainable revenue stream when the software is free to access. Additionally, as an early-stage startup, the company faces high execution pressure to maintain its growth rate while managing data security and privacy for its clients. The future success of this strategy will depend on the company's ability to maintain its technology advantage while converting open-source users into paying enterprise customers.