We're early enough that this page can't lean on logos or a launch story. Here's what's true instead: why we're building EngineFresh, who's behind it, and exactly where things stand.
None of this started as a market opportunity. It started as three specific frustrations with how product analytics tools normally work.
Every tool we'd used wanted its own copy of our event data, which meant a second place for it to go stale, disagree with the warehouse, or need its own pipeline to maintain. Once your data already lives in BigQuery or Databricks, that copy stops making sense.
Alerting in most tools means picking between noise and nothing: either every metric fires constantly, or nobody sets up alerts at all. We wanted the middle option, thresholds specific enough that an alert actually means something.
Pricing that scales with tracked users or events ingested charges you more as your product succeeds, for a cost structure that has nothing to do with what you're actually using. That felt backwards, so we built around the warehouse instead.
This isn't just our opinion, see the outside research that convinced us these problems were real.
We're not publishing individual bios yet, we'd rather point you to a real profile once there's more to show than a placeholder headshot. What we can say: everyone working on EngineFresh has spent real time on the buying side of product analytics tools, not just the building side.
The frustrations on this page, a second copy of your data, alert fatigue, per-user pricing, aren't hypothetical to us. We ran into them as practitioners first, which is a large part of why EngineFresh is built the way it is.
Every design partner works directly with the team building the product, there's no support layer between you and the people who can actually change something.
When something isn't true yet, like SOC 2 or a finished rate card, we say so on the page instead of implying it. You'll see "in progress" here more than you'll see a polished claim.
Forms on this site go to a real inbox, not a queue. We reply from a real person, usually within a few business days.
Scoped the problem, picked BigQuery and Databricks as the first warehouses to support.
Onboarding a small first group, shaping the product and pricing directly with them.
Opening up in batches as the product holds up under more, and more varied, warehouses.
Published pricing, a finished compliance program, and a public trust portal.
Design partners get direct access to the team, a say in what gets built next, and early, favorable pricing terms.
Request early access