Floqer passes $1.2M ARR and will open-source its AI prospecting database
Floqer, pitching at TechCrunch Disrupt 2026, has passed $1.2M ARR, serves 1,000+ customers, and plans to open-source its AI customer knowledge database in early 2027.

Updated
Why it matters
- Floqer has surpassed $1.2 million in ARR and grown overall revenue roughly tenfold over the past year.
- The company plans to open-source its autonomous customer knowledge database in early 2027, pending security reviews.
- Customers report cutting prospecting time by as much as 70%, according to the company.
- Floqer has raised $2 million in pre-seed funding and counts Perplexity, Wise, and AngelList among 1,000+ customers.
- The startup pitches at TechCrunch Disrupt 2026's Startup Battlefield on Wednesday.
Floqer says it has passed $1.2 million in annual recurring revenue, grown its overall revenue roughly tenfold over the past year, and will open-source the technology behind its autonomous customer knowledge database in early 2027. The startup announced the plan ahead of its pitch on the Startup Battlefield stage at TechCrunch Disrupt 2026 on Wednesday, pending security reviews.
The company, founded in 2024, has more than 1,000 customers including Perplexity, Wise, and AngelList, and says those customers have reported cutting prospecting time by as much as 70%. It has raised $2 million in pre-seed funding from investors including Perplexity's F7 Fund, N49P, Tidal Venture Partners, and Perplexity co-founder Denis Yarats. It employs eight people.
The stakes are straightforward. B2B sales and marketing teams spend hours every week searching Google, LinkedIn, company websites, and job boards to find companies that fit a profile, then tracking down the right people and their contact details. Floqer wants its AI agents to do that work instead.
What does the product actually do?
Floqer describes itself as an autonomous customer knowledge platform. Users describe what they're looking for, and AI agents search across sources to build lists of relevant companies and contacts.
The system enriches target accounts using more than 100 third-party data sources. When it needs a verified email address or phone number, it runs a "waterfall" approach: it checks one data provider after another until it finds usable information.
The database also keeps watching the web. If a prospect changes jobs, gets promoted, or joins a company that raises new funding, those updates flow into the user's customer records automatically.
Why did the founders pivot into this?
Floqer didn't start here. CEO Shivam Mahajan and co-founder Zaaheda Islam met at university. Before Floqer, Mahajan worked as a software engineer at Kyndryl, and Islam was a senior data scientist at Axis Capital.
Their first product was a Chrome extension called "Super Chat." "We started with a Chrome extension, which is called 'Super Chat,'" Mahajan told TechCrunch in an interview earlier this month. "Anybody can go and log in with their ChatGPT account and then understand [information] and take notes."
The founders noticed something unexpected: enterprise companies were using the extension to clean up data in their CRM systems. Conversations with those companies revealed that keeping CRM data clean was almost entirely manual work.
"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."
Why open-source the database?
Capacity is one reason. Floqer's database is currently available only to a limited audience, and open-sourcing is the company's answer to that constraint.
"Our autonomous customer knowledge database is only available to a limited audience, mostly due to how much demand our team can actually serve properly," Mahajan said. "But open-sourcing it will help us fix that."
Customer demand is another driver. 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.
"Our mission is to really enable every team to build their central source of growth," Mahajan said.
The security reviews come first. The database can contain sensitive customer information, and large companies already run on it, so Floqer is vetting the code before any public release.
What comes next?
The open-source release is targeted for early 2027. If Floqer delivers it, the company moves from selling a proprietary prospecting tool to seeding an open infrastructure layer that other teams can self-host and extend — a bet that distribution through open code will outpace what its eight-person team can serve alone.
Original: floqer.com
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Market editor covering technology and product news in artificial intelligence and machine learning at AI In Context.
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