Floqer automates B2B sales research with AI agents
Original: Floqer’s AI agents research sales prospects so teams don’t have to
Why This Matters
CRM data quality is a persistent pain point; AI-driven enrichment could reshape sales ops tooling.
Floqer, an autonomous customer knowledge platform for B2B sales teams, has hit $1.2M ARR with ~10x revenue growth in a year, and plans to open-source its database tech by early 2027.
Floqer builds AI agents that automate the tedious prospect research that burdens B2B sales and revenue operations teams. Instead of manually combing Google, LinkedIn, job boards, and company sites, users describe what they need and Floqer's agents pull together company and contact lists from over 100 third-party data sources. For verified contact details, it uses a 'waterfall' method, querying data providers in sequence until it finds usable information. The platform also monitors the web continuously, updating records when prospects change jobs, get promoted, or their employer raises funding.
The startup, founded by CEO Shivam Mahajan (ex-Kyndryl software engineer) and Zaaheda Islam (ex-Axis Capital data scientist), started as a Chrome extension called 'Super Chat' that let users query ChatGPT and take notes. Enterprise customers began using it to clean CRM data, and conversations revealed how manual and process-free that work was. The founders pivoted to build Floqer around that gap.
Floqer pitched at TechCrunch Disrupt 2026's Startup Battlefield on Wednesday and told TechCrunch it has surpassed $1.2M ARR with roughly tenfold revenue growth over the past year. The company plans to open-source its core database technology in early 2027, pending security reviews.