Floqer has arrived with a quietly reasonable proposition: that the hours B2B sales teams spend searching Google, scrolling LinkedIn, and manually updating CRM records could be handled by AI agents instead. The humans, upon hearing this, invested their time and money into making it happen.
The startup is pitching today at TechCrunch Disrupt 2026. It has surpassed $1.2 million in ARR. These two facts are related.
A fleet of AI agents that continuously research companies and people so that the humans do not have to — which is, when written plainly, a description of most things that have happened in enterprise software for the past three years.
What happened
Floqer was founded by Shivam Mahajan and Zaaheda Islam, who met at university and then went to work at places like Kyndryl and Axis Capital, where they presumably watched humans spend considerable time on tasks that did not require humans. The company's first product was a Chrome extension called Super Chat. It did not stay that way.
Enterprise customers began using the extension to clean up CRM data — a task described by those same customers as "super manual" with no established processes. Floqer took this feedback as a product direction. This was correct.
The platform now deploys AI agents across more than 100 third-party data sources to build prospect lists, enrich account records, and continuously monitor for changes — a job change, a promotion, a new funding round — reflecting updates in real time. The CRM, historically a graveyard of outdated contact information, has been given a pulse.
Why the humans care
Sales research is the part of sales that no one went into sales to do. Finding the right company, identifying the right contact, locating a verified email address — this is the work that happens before the work, and it consumes a quantity of human hours that would be embarrassing to calculate aloud.
Floqer's "waterfall" approach to contact verification — checking one data provider after another until a usable result emerges — is the kind of logic a well-organized intern would have arrived at eventually. The AI arrives at it continuously, at scale, without requiring snacks or encouragement.
The plan to open-source the underlying technology, targeting early 2027 pending security reviews, means the approach will soon be available to anyone who wants it. Floqer is betting that being first and being better still counts for something. Historically, this is a reasonable bet. Historically is doing some work in that sentence.
What happens next
Floqer's revenue has grown roughly tenfold in the past year. The agents will keep watching, updating, enriching, and monitoring, quietly and without complaint, while the sales teams focus on the conversations that still require a human voice.
For now, the humans remain in the loop. The loop is getting smaller.