The End of Manual Prospecting
For sales and marketing professionals, the daily grind often involves hours of repetitive labor: scouring LinkedIn, navigating company websites, and monitoring job boards to identify the perfect leads. This process, while essential to revenue growth, is notoriously inefficient. Floqer, a rising startup emerging from the Startup Battlefield stage at TechCrunch Disrupt 2026, aims to eliminate this bottleneck with its autonomous customer knowledge platform. By leveraging a fleet of AI agents, the company automates the research, organization, and maintenance of customer data, effectively serving as a tireless research assistant for B2B teams.
Floqer’s core technology functions as an intelligent, self-updating database that continuously scans over 100 third-party data sources. When a user defines a specific prospect profile, Floqer’s agents initiate a deep search, aggregating relevant companies and verifying contact details through a sophisticated 'waterfall' process. This method checks multiple data providers sequentially until it secures a verified email or phone number. Furthermore, the system remains active, monitoring the web for critical triggers like job changes, promotions, or funding announcements, ensuring that the CRM remains a living, accurate reflection of the market landscape rather than a static graveyard of outdated contacts.
Why It Matters
- Efficiency Gains: Early adopters report reducing their prospecting time by up to 70%, allowing sales teams to shift focus from manual data entry to high-impact relationship building.
- Data Integrity: By automating updates, the platform solves the perennial issue of 'dirty' CRM data that plagues large enterprises.
- Strategic Transparency: The company’s commitment to open-sourcing its autonomous database technology by early 2027 reflects a trend toward giving enterprises greater control over their own data architecture.
- Proven Traction: Despite being founded in 2024, the startup has already secured over 1,000 customers, including high-growth companies like Perplexity, Wise, and AngelList.
Pivoting Toward Enterprise Intelligence
Floqer’s journey reflects the agility required to survive in the competitive AI landscape. Founded by Shivam Mahajan and Zaaheda Islam, the company originally launched with a Chrome extension named 'Super Chat,' designed to help users summarize notes via ChatGPT. However, user feedback quickly highlighted a more pressing pain point: enterprise organizations were struggling to manage their CRM systems, manually reconciling information across fragmented platforms. Recognizing the gap, the founders pivoted, channeling their expertise in software engineering and data science into the robust, agent-based platform that defines the company today.
The upcoming open-source release of its core database technology is a significant strategic move. Mahajan noted that many large-scale clients prefer to host their own data for security and sovereignty reasons, or wish to build proprietary features directly onto the platform. By opening its architecture, Floqer is positioning itself as the foundational layer for B2B growth. While the company is currently conducting rigorous security reviews—a necessity given the sensitive nature of enterprise customer data—the plan to democratize access suggests a long-term goal of setting a new standard for how companies interpret and utilize customer knowledge.
With $1.2 million in annual recurring revenue and a tenfold increase over the last year, Floqer is quickly evolving from a promising startup into a vital cog in the B2B sales machine. Backed by investors including Perplexity’s F7 Fund, the company is proving that the future of sales isn't just about human intuition—it’s about empowering that intuition with a persistent, autonomous engine of high-fidelity data.
