Sales teams often spend hours finding companies that fit their target profile, identifying the right contacts and keeping customer records current. Floqer is building an AI-powered database to take on much of that research, drawing information from multiple sources and updating records when it detects changes.
From a browser extension to customer research
Floqer began with a Chrome extension called “Super Chat.” Users could log in with a ChatGPT account to understand information and take notes. The founders, Shivam Mahajan and Zaaheda Islam, later heard from enterprise companies that were using the tool to clean up customer relationship management (CRM) data.
Those conversations revealed a broader operational problem: companies described CRM cleanup as highly manual, with few established processes for keeping customer records up to date. Floqer shifted its focus toward that need and developed an autonomous customer knowledge platform for business-to-business sales and marketing teams.
The product now helps users find potential customers by describing the companies and people they want to reach. Floqer’s AI agents search across different sources to assemble relevant company and contact lists, reducing the need for team members to conduct that research one site at a time.
Keeping account information current
Finding a prospect is only part of the work. Sales teams also need useful details about the companies they are targeting and reliable ways to contact the people there. Floqer says its system enriches accounts using more than 100 third-party data sources.
For verified email addresses or phone numbers, the platform uses a “waterfall” method: it checks one data provider after another until it finds usable information. The company also says its system monitors the web for changes that may matter to customer records, including when a prospect changes jobs or gets promoted, or when their company raises new funding.
That continuing research is intended to make customer records more useful over time, rather than leaving teams with information that may become outdated. Floqer describes its technology as a fleet of agents researching companies, people and customer interactions. According to the company, customers have reported cutting prospecting time by as much as 70%.
Why Floqer plans to open-source its database
Floqer says the database is currently available to a limited audience, partly because of the amount of demand its team can serve. Mahajan told TechCrunch that releasing the technology as open-source could help address that constraint.
Customer requests are also shaping the plan. Some companies want to host their own data instead of keeping it in a vendor’s proprietary platform. Others want the ability to modify Floqer’s technology or build on it. For those teams, open-source access could offer more control over where customer information is stored and how the underlying system is adapted.
The company is targeting early 2027 for the release, pending security reviews. Floqer says the database can contain sensitive customer information and is already used by large companies, making those reviews part of its preparation for a public release.
Growth and the next stage
Floqer was founded in 2024 by Mahajan, its CEO, and Islam, who met at university. Before starting the company, Mahajan worked as a software engineer at Kyndryl, while Islam was a senior data scientist at Axis Capital.
The startup says it has surpassed $1.2 million in annual recurring revenue (ARR), with overall revenue growing roughly tenfold over the past year. It has raised $2 million in pre-seed funding, has eight employees and reports more than 1,000 customers. The company names Perplexity, Wise and AngelList among them.
Floqer is pitching at the Startup Battlefield stage at TechCrunch Disrupt 2026. Its planned open-source release would extend the company’s approach beyond its current customer base, while giving organizations the option to host, adapt or build on the database themselves.