Floqer Plans Open-Source Release for Customer Knowledge Database
Floqer, an autonomous customer knowledge platform for business-to-business sales and marketing teams, says it has passed $1.2 million in annual recurring revenue and intends to open-source the technology behind its customer knowledge database in early 2027. The release remains subject to security reviews. The company is presenting at TechCrunch Disrupt 2026’s Startup Battlefield.
Founded in 2024 by CEO Shivam Mahajan and Zaaheda Islam, Floqer says its revenue has grown roughly tenfold over the past year. It has raised $2 million in pre-seed funding, employs eight people and reports more than 1,000 customers, including Perplexity, Wise and AngelList.
AI agents automate prospect research
Floqer is designed to reduce the manual work involved in maintaining customer relationship management records and researching prospective accounts. Sales and revenue operations teams commonly search company websites, job boards, LinkedIn, Google and other sources before identifying relevant people and contact details.
Users describe the type of prospect they want to find, and Floqer’s AI agents search multiple sources to assemble lists of companies and contacts. The company says the system enriches target accounts with information drawn from more than 100 third-party data sources.
For verified email addresses and phone numbers, Floqer uses a waterfall process that checks data providers one after another until it finds usable information. Its system also monitors the web for changes that may affect a customer record, such as a job move, promotion or new funding round.
Open source plan follows customer requests
Floqer says its autonomous customer knowledge database is currently available to a limited audience because of the demand its team can properly serve. Mahajan said the planned open-source release is intended to address that constraint while allowing more teams to use the technology.
The company said some customers want to host their data themselves rather than keep it in a vendor-operated proprietary platform. Others want to modify the technology or build products on top of it. Security reviews are planned before any public release because the database can contain sensitive customer information and is already used by large companies.
From Chrome extension to enterprise data workflow
Floqer initially developed a Chrome extension called Super Chat, which allowed users to sign in with a ChatGPT account, understand information and take notes. The founders found that enterprise users were applying the extension to CRM data cleanup, revealing how manually maintained many customer records remained.
Floqer says customers have reported reducing prospecting time by as much as 70%. For businesses evaluating autonomous research systems, the practical implication is to weigh time savings against the controls needed for source quality, contact verification, sensitive customer data and internal CRM processes.