Floqer's AI Agents Take Over B2B Prospect Research, and It Plans to Open-Source the Database

Floqer is using AI agents to automate one of the most tedious parts of B2B sales and marketing: finding prospects, verifying their contact details and keeping customer records current. The company pitched on the Startup Battlefield stage at TechCrunch Disrupt 2026.

As described to TechCrunch ahead of its presentation, Floqer calls itself an autonomous customer knowledge platform built around an AI-powered database that continuously collects, organizes and updates the information companies use to understand their customers. Users describe what they are looking for, and the agents search across multiple sources to assemble lists of relevant companies and contacts.

On data, Floqer says its system can enrich accounts using more than 100 third-party data sources. When it needs a verified email address or phone number, it uses a "waterfall" approach, checking one provider after another until it finds usable information. The system also monitors the web continuously, so job changes, promotions or new funding rounds at a target company can be reflected in the customer's records.

The most newsworthy item is an open-source plan. Floqer says it intends to open-source the technology behind its autonomous customer knowledge database, targeting early 2027 and pending security reviews.

On business metrics, the company says it has surpassed $1.2 million in annual recurring revenue and that its overall revenue grew roughly tenfold over the past year.

The company did not start here. Founders Shivam Mahajan, the CEO, and Zaaheda Islam met at university and previously worked at Kyndryl and Axis Capital respectively. Their first product was a Chrome extension called Super Chat that let users log in with a ChatGPT account to understand information and take notes, before enterprise customers began using it to clean up CRM data — the signal that led them to build Floqer.

The pitch is straightforward: CRM data maintenance has long been manual work with few established processes, while prospecting consumes hours spent on search engines, LinkedIn, company websites and job boards. Handing that to agents turns the sales team's research hours into a reusable database.

Two things to watch: whether the open-source release lands in early 2027 and clears security review, and how much enterprise share an agent-first product can take in a sales-data market already served by established vendors.