As published on hex.tech, February 2026. Checked by usedby on Oct 15, 2026.
What happened
Ramp's data team uses Hex notebooks and the Notebook Agent to prototype and iterate on data products, track the performance of a new AI auto-routing feature, and build a sentiment analysis app. Hex dashboards are embedded in tools such as Salesforce and Notion so teams can use them in their daily work.
Summary written by usedby from the source page, in English. The figures are those of Hex and Ramp, not ours.
In traditional analytics engineering, a simple data question can bounce between teams for days. At Ramp, it could at times take two full days to deliver an answer; with Hex, those feedback loops shrink to hours.
The number of iterations you can get in per day is extremely high,
Hex lets us prove what works before we fully commit.
Our machine learning engineers are building the coolest stuff imaginable. What I am equally excited about, however, is what we can enable an junior analytics engineer to do,
The person who built this wasn’t our most crafted machine-learning engineer. It was an analytics engineer expanding the surface area of what they could build.
Being able to scale decisions is not just about having a great data product, but putting it into places where people are actually looking and working every single day.
What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Ramp.
- The publication dateCheckedRead from the page’s own metadata, never guessed.
- Ramp uses HexCheckedConfirmed line.
- The result itselfNot checkedWe quote it; we did not measure it.
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