Floqer’s AI agents research sales prospects so teams don’t have to
The problem Floqer is trying to solve is familiar to anyone who has worked in sales or revenue operations.
Key points
- Floqer pitches its AI customer knowledge platform at TechCrunch Disrupt 2026 on Wednesday.
- The startup plans to open-source its autonomous customer knowledge database in early 2027.
- Floqer reports over $1.2 million in ARR and roughly tenfold revenue growth in a year.
Floqer, an autonomous customer knowledge platform for business-to-business sales and marketing teams, is pitching Wednesday on the Startup Battlefield stage at TechCrunch Disrupt 2026. The startup told TechCrunch it plans to open-source the technology behind its autonomous customer knowledge database, targeting early 2027 for the release, pending security reviews.
Floqer also says it has surpassed $1.2 million in annual recurring revenue and that its overall revenue has grown roughly tenfold over the past year. The company was founded in 2024 by Shivam Mahajan, the CEO, and Zaaheda Islam, who met at university.
From Chrome extension to CRM pivot
Floqer's first product was a Chrome extension called Super Chat, Mahajan told TechCrunch. The founders noticed enterprise companies were using the extension to clean up data in their customer relationship management systems.
Conversations with those companies showed that keeping CRM data clean was mostly manual work, with few established processes for keeping customer records up to date. Mahajan said that was insightful and the team pivoted from there to build Floqer.
Our autonomous customer knowledge database is only available to a limited audience, mostly due to how much demand our team can actually serve properly. But open-sourcing it will help us fix that.
— Shivam Mahajan
How the AI agents work
Floqer aims to automate sales prospecting. Users describe what they are looking for, and its AI agents search across different sources to build lists of relevant companies and contacts.
The company says its system can enrich accounts using more than 100 third-party data sources. When it needs a verified email address or phone number, Floqer uses a waterfall approach, checking one data provider after another until it finds usable information.
The system also continuously monitors the web for changes. If a prospect changes jobs, gets promoted, or works at a company that raises new funding, those updates can be reflected in the user's customer records. According to the company, customers have reported cutting prospecting time by as much as 70%.
Open-source plans and funding
Mahajan said the autonomous customer knowledge database is only available to a limited audience, mostly due to how much demand the team can serve properly. He said open-sourcing it will help fix that.
The decision comes partly in response to customer demand. Mahajan said some companies want to host their own data rather than keep it inside a vendor's proprietary platform, while others want to modify the technology or build on top of it. Before releasing the database publicly, Floqer is conducting security reviews because the database can contain sensitive customer information and large companies already use it.
Floqer has raised $2 million in pre-seed funding, with participation from investors such as Perplexity's F7 Fund, N49P, Tidal Venture Partners, and Perplexity co-founder Denis Yarats. It says it now has eight employees and more than 1,000 customers, including Perplexity, Wise, and AngelList.
