From Two Brothers to Industry Titans: Enterpret’s Journey

This how Enterpret started, 2 brothers. Now it has Notion and Figma as customers.

Here’s the story:

For a complete breakdown of Enterpret, including interviews with Arnav and Varun, check out the deep dive.

Chapter 1 — Formed by Work Experiences

It started when Varun Sharma was working at Amplitude, the product analytics company. As the 15th employee, he got to do a little bit of everything.

He learned was that all product teams track retention. But even when they knew something negative was happening in the trend, they didn’t know why it was happening.

All the data was in a variety of customer support interactions, and no one could parse and categorize that.

So when Varun moved on to Scale.Ai — the AI company which just raised a $1B valuation — he saw the power of AI and NLP to solve that problem.

With the combination of a clear problem and solution, Varun decided to make the jump from his role at Scale to building his own thing.

He recruited his brother, Arnav Sharma, who was working as a SWE at Uber to join him. And Enterpret was born.

Chapter 2 — Nailing the Notion POC

Their vision? “You should be able to write a SQL query on your customer feedback.”

Varun led the sales process, and Arnav led the engineering process.

Right away, Varun was to pull off a heist of a first client: Notion. In the meetings with Notion, they committed to a date.

This put pressure on Arnav, who worked nights and weekends to get it done.

The team used the OpenAI APIs to train the base model with fine-tuning data from Notion. It resulted in an even more powerful model than would be possible in a general purpose LLM.

Notion liked what they saw. Notion’s VOC squad picked up the tool and used it for meetings with the product & exec teams.

For Enterpret, it was a huge win. They were well on their way to success.

Chapter 3 — Keeping their Ear Close to the Ground

But they didn’t just go for general access right away. Enterpret would remain in stealth for a full 20 months.

In that time, they interviewed countless prospects. What they learned helped them shape the product:

• Customers really wanted to understand why they were losing prospects
• Prospects wanted metadata from their data warehouse

So Enterpret connected to Gong and Snowflake. The result was that by the time Enterpret was exiting stealth, it could unify data across support and sales channels and tie that to customer’s metadata in their warehouse.

Chapter 4 — Expanding Footprint

The first few months after going public were a reality check. But the team rose to the challenge.

They continued to improve the charting and analysis features behind the core vision of being able to query your qualitative data.

They also partnered with creators like John Cutler for several promotions.

The result? Snagging name-brand paying clients like Canva and Apollo, along with a growing team to match.