Editorial illustration for Floqer's AI agents research sales prospects so teams don't have to
AI Agents Research Sales Prospects for You
Floqer's AI agents research sales prospects so teams don't have to
Floqer will take the stage Wednesday at TechCrunch Disrupt 2026 to pitch an idea that sounds almost too simple: let AI agents do the grunt work of researching sales prospects, so humans don't have to. The startup's pitch is an autonomous customer knowledge platform built for B2B sales and marketing teams, one that continuously collects, organizes, and updates the data those teams rely on to understand who they're selling to. Ahead of the Startup Battlefield session, the company told TechCrunch it plans to open-source the technology behind that database, targeting an early 2027 release pending security reviews.
The numbers behind the pitch are notable on their own. Floqer says it has crossed $1.2 million in annual recurring revenue, with overall revenue up roughly tenfold over the past year. Founders Shivam Mahajan and Zaaheda Islam, who met at university, didn't start out building a CRM data tool.
Mahajan previously worked as a software engineer at Kyndryl, and Islam as a senior data scientist at Axis Capital. Their path to Floqer's current product began somewhere else entirely, with a Chrome extension that revealed a problem enterprise companies hadn't quite solved.
Floqer describes the technology as a fleet of AI agents that continuously research companies, people, and customer interactions, so team members don’t have to perform that work manually. According to the company, customers have reported cutting prospecting time by as much as 70%.
Why this matters
Sales research has long been a drag on go-to-market teams, and Floqer's bet is that an autonomous agent can do the grunt work of scraping LinkedIn, job boards, and company sites better than a human with ten browser tabs open. The open-source plan is the part worth watching. If Floqer actually releases the underlying technology rather than keeping it locked behind a SaaS wall, it changes the calculus for founders building competing tools, since the barrier to entry for "AI that researches your customers" just got lower.
For RevOps teams, the pitch is familiar: less manual prospecting, more time closing. But Disrupt pitches are built on momentum, not maturity, and we've seen plenty of "continuously updating customer database" ideas stall once real data quality and compliance questions hit. Worth tracking: whether Floqer's open-source release actually ships, and whether teams trust an autonomous agent to keep sensitive prospect data current without human review.
That's the gap between a good demo and a tool people actually run in production.
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Common Questions Answered
How much time can B2B sales teams save by using Floqer's AI agents for prospect research?
According to Floqer, customers have reported cutting prospecting time by as much as 70% when using the platform's fleet of AI agents. This significant time savings allows sales and marketing teams to focus on higher-value activities rather than manual research work.
What specific sources do Floqer's AI agents research when gathering customer data?
Floqer's AI agents continuously scrape and research information from LinkedIn, job boards, and company websites to gather comprehensive prospect data. The agents automatically collect, organize, and update this information so sales teams have current knowledge about the companies and people they're selling to.
What is Floqer's autonomous customer knowledge platform designed to do for B2B teams?
Floqer's platform is built to continuously collect, organize, and update customer and prospect data that B2B sales and marketing teams need to understand their target buyers. The autonomous system eliminates the manual grunt work of researching prospects, allowing teams to work more efficiently and strategically.
Why is Floqer's open-source plan significant for the competitive landscape?
If Floqer releases its underlying technology as open-source rather than keeping it behind a SaaS paywall, it would lower the barrier to entry for founders building competing AI research tools. This approach could fundamentally change how the market develops around autonomous prospect research technology.
Further Reading
- The Productivity Gap: New Survey Shows 9 in 10 Sellers Are Betting on AI and Agents To Help - Salesforce
- AI in Sales 2026: What Actually Works and What's Overhyped - Amplemarket
- 8 Best AI Sales Agents and AI SDR Tools in 2026, Compared - Amplemarket
- Sales 2026: Future Trends, Tech & Strategy Guide - Outreach
- AI for Sales Prospecting to Identify High-Value Leads - Salesforce
