In short
Floqer says its AI agents can automate prospect research and customer data upkeep for B2B teams. The startup also plans to open-source its core database technology in early 2027.
- Floqer says it has topped $1.2 million in ARR and grown revenue about 10x in a year.
- The startup uses AI agents to research prospects, enrich accounts, and track changes in real time.
- It plans to open-source its autonomous customer knowledge database in early 2027 after security reviews.
- Floqer reports more than 1,000 customers, including Perplexity, Wise, and AngelList.
Floqer is building an AI-powered customer knowledge platform that can continuously research prospects for sales and marketing teams, and the startup says it will open-source the core technology in early 2027 if security reviews go as planned. The company, which is pitching at TechCrunch Disrupt 2026 on Wednesday, says annual recurring revenue has passed $1.2 million and that revenue has increased roughly tenfold over the last year.
The pitch matters because Floqer is aiming at one of the most tedious parts of B2B selling: assembling and maintaining accurate customer records. Instead of making revenue teams comb through Google, LinkedIn, company websites, and job boards by hand, Floqer uses AI agents to gather, enrich, and refresh prospect data automatically.
That promise has helped the startup attract more than 1,000 customers, including companies such as Perplexity, Wise, and AngelList, even though Floqer is still a small team with eight employees and only began in 2024. Now it is also signaling something unusual for a young SaaS business: a plan to make its core database technology publicly available.
What Floqer actually does
Floqer describes itself as an autonomous customer knowledge platform. In practical terms, it acts like a research engine for sales and revenue operations teams, gathering information about companies and people so those teams can spend less time doing manual prospecting work.
Users tell the system what kind of prospects they want, and Floqer’s AI agents search across a wide range of sources to build target lists of companies and contacts. The platform then adds context to those records, using more than 100 third-party data sources to enrich accounts and keep them current.
When a team needs a verified email address or phone number, Floqer uses a waterfall method, trying one provider after another until it finds usable contact details. The company says the system also keeps watching the web for changes, such as job moves, promotions, or new funding rounds that could make a prospect more relevant to a sales team.
Why sales teams are paying attention
Floqer is targeting a problem that most business-to-business teams know well: prospecting is slow, fragmented, and easy to get wrong. Revenue teams often bounce between search engines, social networks, corporate sites, and data vendors to identify which companies fit a target profile and then find the right person to contact.
That work is usually repetitive and time-consuming, especially when CRM data drifts out of date. A contact leaves a company, a decision-maker gets promoted, or a target account raises funding, and the sales record needs to be updated. In many organizations, those updates still depend on manual checks or inconsistent internal processes.
Floqer says its AI-driven system can reduce prospecting time by as much as 70%, a figure that underscores why the company is positioning its product as a productivity tool rather than just another data vendor.
Mahajan said the company realized early on that enterprise teams were using its tools to clean and maintain CRM information, and that those conversations revealed how manual customer data work remained inside large organizations.
That insight pushed the founders to change direction. The startup’s first product was a Chrome extension called Super Chat, which let users log in with a ChatGPT account, understand information, and take notes. Over time, customer behavior showed the founders that the bigger pain point was not note-taking but the upkeep of business records.
According to co-founder and CEO Shivam Mahajan, speaking with companies made the problem clear: CRM hygiene was being handled largely by hand, with no strong system in place to keep records fresh. That realization led Floqer to pivot from a simple browser tool into a broader autonomous database for revenue teams.
How Floqer’s AI agents work
Floqer’s product is built around a fleet of AI agents that continuously collect and update information about companies, individuals, and customer interactions. The idea is to automate the research layer that usually sits between raw internet data and a usable sales pipeline.
How does the platform find prospects?
It starts by searching across public and third-party sources for companies and people that match a user’s criteria. That can include business directories, social platforms, company sites, job listings, and other signals that reveal whether an account may be worth pursuing.
How does it keep records current?
It constantly monitors the web for changes that matter to sales teams. If a target contact changes jobs, gets promoted, or works at a company that recently raised money, Floqer can reflect those updates in the customer record without waiting for a human rep to discover them.
How does it enrich contact data?
Floqer says it combines information from more than 100 external data providers. When a verified email or phone number is needed, the system checks source after source until it finds a match, which is the kind of workflow commonly known in sales technology as a waterfall.
That mix of discovery, enrichment, and upkeep is designed to create a single living profile for each account or contact. In a crowded B2B software market, that approach gives Floqer a straightforward pitch: let machines do the investigative work so humans can spend more time selling.
Why is Floqer open-sourcing its technology?
Floqer says customer demand is one reason it wants to release the technology behind its autonomous database. Some companies want to host the system themselves rather than keep sensitive records inside a vendor-managed platform. Others want the option to modify the software or build their own tools on top of it.
Mahajan said the mission is to help every team create its own central source of growth, and open-sourcing the database could make that easier for organizations that need control, flexibility, or a more transparent architecture.
There is also a scaling angle. The company says demand for its limited-access system is already greater than the team can fully serve, and publishing the technology could broaden adoption without forcing Floqer to manage every deployment as a fully hosted proprietary product.
The company says open-sourcing will help it serve more customers, including organizations that want to run the system themselves or customize it for their own workflows.
Floqer is not treating the release lightly. Before making the code public, it is conducting security reviews because the database can contain sensitive customer information and is already used by larger companies.
What do we know about Floqer’s business so far?
Floqer was founded in 2024 by Shivam Mahajan and Zaaheda Islam, who met at university. Mahajan previously worked as a software engineer at Kyndryl, while Islam was a senior data scientist at Axis Capital.
The company 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 says the business now has eight employees.
The startup’s customer count is already above 1,000, and its named users include Perplexity, Wise, and AngelList. For a company this young, that combination of revenue growth and customer traction is notable, especially in a market where many AI startups are still trying to convert interest into repeatable business outcomes.
Floqer’s growth snapshot
Floqer’s latest update offers a useful look at how the company has evolved from an experimental browser add-on into an AI infrastructure play for revenue teams. The numbers below summarize its current position.
| Metric | Current status | Why it matters |
|---|---|---|
| Founded | 2024 | Shows the company is still in its early growth stage |
| Team size | 8 employees | Highlights how much traction it has gained with a small staff |
| Annual recurring revenue | More than $1.2 million | Signals meaningful commercial adoption |
| Revenue growth | Roughly 10x in one year | Indicates rapid momentum |
| Customers | More than 1,000 | Shows broad usage beyond a handful of pilot accounts |
| Funding raised | $2 million pre-seed | Suggests the startup has remained relatively capital-efficient |
| Open-source timeline | Targeting early 2027 | Explains when the broader public may gain access |
Why the open-source move is unusual
Most young software companies guard their core technology closely, especially if it sits near the center of the product and drives recurring revenue. Floqer is taking a more open route, which could expand trust and adoption among technical customers but also raises the bar on execution.
Open source can make a product easier to inspect, adapt, and self-host, but it can also reduce the exclusivity of the technology if competitors build similar offerings on top of it. For Floqer, that trade-off appears intentional. The company is betting that distribution, customer relationships, and managed services will matter as much as code ownership.
There is also a strategic layer to the decision. In enterprise software, particularly in areas touching customer data, privacy-sensitive companies often prefer systems they can audit or host themselves. By promising a public release after security checks, Floqer is trying to align with those expectations rather than force every customer into a fully managed black box.
How does Floqer compare with traditional sales tools?
Floqer is different from conventional CRM hygiene tools because it is not merely organizing existing data. It is attempting to perform ongoing research and enrichment that would normally require several separate tools, manual prospecting, and periodic human review.
Traditional sales platforms often depend on reps to enter notes, update fields, and make sense of account information. Data enrichment services fill some of the gaps, but they frequently stop at static contact lookups. Floqer’s pitch is broader: use agents to keep the entire customer knowledge layer alive.
That approach places the startup at the intersection of AI agents, revenue operations, and customer data infrastructure. If it works at scale, it could become a foundational layer for how go-to-market teams discover, prioritize, and track leads.
What happens next?
Floqer’s immediate milestone is its Startup Battlefield appearance at TechCrunch Disrupt 2026. The event gives the company a high-profile stage to present its platform and its open-source plans to investors, potential customers, and the broader startup ecosystem.
The bigger test comes later. The company will need to complete security reviews, finalize the open-source release timeline, and prove that teams will trust an AI system to manage sensitive customer intelligence at enterprise scale.
If Floqer succeeds, it could help define a new category of revenue software: autonomous customer knowledge systems that do much of the research work before a human seller ever opens a CRM record.
For now, the company’s rapid growth, modest headcount, and aggressive open-source strategy make it one of the more interesting examples of how AI agents are moving from buzzword to business workflow.
Key facts about Floqer
- Floqer was founded in 2024 by Shivam Mahajan and Zaaheda Islam.
- The startup says it has passed $1.2 million in ARR and grown revenue about tenfold in a year.
- Its platform uses AI agents to research prospects, enrich accounts, and monitor changes in real time.
- The company plans to open-source its autonomous customer knowledge database in early 2027, pending security checks.
- Floqer says it has more than 1,000 customers, including Perplexity, Wise, and AngelList.
As B2B sales teams look for faster ways to keep customer data accurate, Floqer is betting that autonomous research systems will become as essential as CRM software itself. The next year will show whether that bet can scale from promising startup story to lasting category leader.
Frequently asked questions
What does Floqer do?
Floqer builds an autonomous customer knowledge platform for B2B sales and marketing teams. It uses AI agents to research companies and contacts, enrich account data from multiple sources, and keep records updated as job changes, promotions, and funding events occur.
Why is Floqer open-sourcing its technology?
Floqer says the open-source plan is driven by customer demand and by the needs of companies that want to self-host, customize, or build on top of the system. The company also believes it can serve more users by making the core technology broadly available.
How much revenue has Floqer reached?
Floqer says it has passed $1.2 million in annual recurring revenue. The company also says overall revenue has grown roughly tenfold over the past year, suggesting strong early adoption among revenue teams.
Who founded Floqer?
Floqer was founded by Shivam Mahajan and Zaaheda Islam, who met at university. Mahajan previously worked as a software engineer at Kyndryl, while Islam was a senior data scientist at Axis Capital.
When will Floqer’s open-source release happen?
Floqer is targeting early 2027 for the release of its autonomous customer knowledge database. That timeline depends on security reviews because the system handles sensitive customer information and is already used by larger companies.
