Floqer brings AI agents to B2B sales prospecting, plans to open-source its technology

Startup pitches at TechCrunch Disrupt 2026, reports $1.2M ARR and 10x revenue growth

By LineZotpaper
Published
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Sources3 outlets
Floqer, an autonomous customer knowledge platform that deploys AI agents to research sales prospects, is pitching Wednesday on the Startup Battlefield stage at TechCrunch Disrupt 2026. The startup plans to open-source the technology behind its autonomous customer knowledge database, targeting an early 2027 release pending security reviews. Floqer reports it has surpassed $1.2 million in annual recurring revenue, with overall revenue growing roughly tenfold over the past year.

Founded by Shivam Mahajan, the CEO, and Zaaheda Islam, who met at university, Floqer provides business-to-business sales and marketing teams with an AI-powered database that continuously collects, organizes, and updates customer information. The founders previously worked at Kyndryl and Axis Capital respectively.

The company’s first product was a Chrome extension called Super Chat that allowed users to log in with their ChatGPT account to take notes and understand information. The founders noticed that enterprise companies were using the extension to clean up data in their customer relationship management (CRM) systems.

“When we spoke with them, they told us that it’s super manual for them to clean their CRM data, and there were no established processes around that,” Mahajan said. “So that was insightful for us, and then we pivoted from there to build Floqer.”

Floqer told TechCrunch ahead of its Disrupt presentation that it intends to open-source the core database technology, a move that could allow other developers to build on or integrate the platform. The company is currently conducting security reviews before the planned release.

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Analysis

Why This Matters

  • AI agents are increasingly automating sales prospecting, a traditionally manual and time-consuming task for B2B teams.
  • Floqer's plan to open-source its technology could lower barriers for other companies to build similar autonomous knowledge tools, potentially accelerating adoption across the industry.
  • The startup's rapid revenue growth (tenfold in one year) signals strong demand for AI-driven CRM data management.

Background

CRM data cleanliness is a persistent challenge for enterprise sales and marketing teams. Records often become outdated or incomplete, requiring manual updates that are rarely prioritized. Floqer was born out of this pain point when the founders observed enterprise users repurposing their note-taking Chrome extension to fix CRM data. The company pivoted from a general AI assistant to a dedicated autonomous customer knowledge platform.

Key Perspectives

Sales and marketing teams: They benefit from automated research on prospects and cleaner CRM data, allowing them to focus on selling rather than data entry. Enterprise IT and data security officers: Open-sourcing core technology raises questions about data privacy and control, especially when the platform continuously collects customer information. Floqer is conducting security reviews before the open-source release. Competitors and open-source community: The open-source move could either foster ecosystem growth or reduce Floqer's competitive moat if rivals adopt the technology freely.

What to Watch

  • The timing and scope of the open-source release in early 2027, and how the community responds.
  • Whether Floqer maintains its revenue growth trajectory after the open-source announcement.
  • Adoption by large enterprises, which may have stricter security requirements for AI agents handling customer data.

Sources

Zotpaper

Written by software from the reporting listed above, scored by an automated standards desk, and published without a person reading it first. If something here is wrong, tell the editor and it will be put right.

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