He wants you to run a SQL query on what your customers are feeling - and he built the machine to make it possible.
Ask a modern product team how their retention curve looks and they will quote it to the decimal. Ask which three things customers actually hate, and the room goes quiet. Varun Sharma heard that silence enough times to quit a comfortable job and build a company around it.
Enterpret, the company he co-founded in 2020 and runs as CEO, connects to every place customers talk - support tickets, sales calls, app reviews, community threads, survey replies - and turns that sprawl into a structured, searchable dataset. The promise is almost rude in its simplicity: customer feedback should be queryable like a database. Not summarized, not vibed, but indexed against a taxonomy built specifically for your product.
That conviction did not arrive in a vacuum. Varun was the 15th employee at Amplitude, the product analytics company, in the years when "do a little bit of everything" was the job description. He sat close enough to enterprise customers to watch the same gap open again and again: the numbers told you what was happening, never why. Then a stint running enterprise customer operations at Scale AI showed him the other half of the equation - that natural language processing had quietly become good enough to read feedback at scale. Problem, meet solution.
You should be able to write a SQL query on your customer feedback.- Varun Sharma, the one-sentence product spec
When Varun decided the problem was worth a decade of his life, he needed someone who could build the thing. He recruited Arnav Sharma - his brother, then three years into a software engineering role at Uber - to be the technical other half. Varun took the business, the selling, the customers. Arnav took the engineering. The division of labor was clean because the trust was already there.
What followed was patience that bordered on stubbornness. Rather than racing to a launch, the brothers kept Enterpret in stealth for roughly 20 months, interviewing prospects and rebuilding the product until it earned the right to ship. The discipline paid off in the most credible way possible: their first customer was Notion, whose Voice of Customer squad started bringing Enterpret's read-outs into product and executive meetings.
CEO. The story, the sales, the customers, the conviction that feedback is direction, not data.
The engineering half. Built the machinery behind the Customer Knowledge Graph.
Clean lines, total trust. Family as the original founding document.
His career opened at LinkedIn - a detail he reflected on publicly more than a decade later, a long way from the kid doing internships at AOL, FreshDirect and International Tractors Limited.
A B.Eng in Mechatronics from Manipal Institute of Technology, then a Master of Science in Operations Research from Columbia University. Robots and optimization before SaaS.
Rose to Head of Enterprise Customer Success for North America. Got close enough to the data gap to never forget it.
Head of Enterprise Customer Operations, working across NLP and emerging verticals. Saw firsthand that machines could finally read.
Leaves Scale mid-stride, recruits Arnav, and starts building the OS for customer centricity.
After ~20 months heads-down, the company steps into the light with Notion already aboard.
Led by Rayfe Gaspar-Asaoka at Canaan Partners, with Kleiner Perkins, Peak XV, Wing Ventures and Recall Capital. Contract value reportedly doubled over the prior year.
The engine under Enterpret is what the company calls a Customer Knowledge Graph: a proprietary AI system that ingests feedback from every channel and maps it onto a taxonomy custom-built for each customer. The difference from generic sentiment tools is the point Varun keeps returning to - every Enterpret customer gets a taxonomy that reflects their product, their customers, and their business, not a one-size-fits-all label set.
The output is meant to be transparent and inspectable, so a product manager can trace an insight back to the raw quote that produced it. In 2025 the company pushed past dashboards into agents, launching its first AI agent and marking five years of building with a public set of lessons learned. The throughline never moves: turn the noise of the crowd into something a team can actually act on.
The $20.8M Series A was led by Rayfe Gaspar-Asaoka at Canaan Partners, who joined the board. Around him sat a roster that reads like a who's-who of product-led software: Kleiner Perkins, Peak XV Partners, Wing Ventures and Recall Capital.
More telling is the angel list. Enterpret's individual backers come from the exact products that obsess over feedback - operators from Notion, Dropbox, Linear, Zapier and The Browser Company. When the people who live and die by customer signal write you a check, the thesis stops being a pitch and starts being a vote.
Led the Series A. Rayfe Gaspar-Asaoka took a board seat.
Among the institutional backers of the round.
Part of the syndicate, alongside Wing and Recall.
Operators from Notion, Dropbox, Linear, Zapier and The Browser Company.
The Voice of the Customer provides direction, not just data.- The Enterpret thesis, in one line
Profile compiled from public sources. Quotes verbatim where attributed.