
AskElephant
Make your CRM self-updating
I relied on broken revenue data for 15 years.
So I fixed it.
I learned the same lesson every quarter for 15 years: the data was broken, not the reps. Some vendors build a feature for this. I built a whole company around it.
15 Years in
the trenches
Our founder, Woody Klemetson, started in sales at a young age and worked his way into revenue leadership. He closed deals, built teams, and managed pipelines. He experienced lost revenue firsthand when customer context didn't flow to the right people.
$2.5B Exit with Divvy
Woody was an early hire at Divvy and served as VP of Sales, scaling the team to hundreds of reps through the $2.5B acquisition by Bill.com.
AskElephant is born
After Divvy, companies kept asking Woody to coach their sales teams and build better revenue systems. He didn't have the time or data to help them all. So he launched AskElephant to fix their revenue data the way he wished someone had fixed his.
Early customers automate their CRM
Woody's first customers turned on self-updating mode in their HubSpot CRM. For the first time, the data stayed clean without anyone asking reps to do manual data entry.
The automation cascade commences
Once AskElephant customer's CRM data was clean, the rest of the platform came alive: AI coaching, forecasts, handoffs, and more. The cascade Woody had watched fail for years finally worked.
Millions in ARR
Hundreds of revenue teams trust AskElephant with their revenue data. They are evidence that once you fix your CRM data layer, the rest follows.
2nd Gen platform for revenue teams
Deeper signal extraction. Deeper HubSpot integration. A smarter automation cascade. The same vision Woody has been building all along.
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I relied on broken revenue data for 15 years. So I fixed it

1 Comment
The interesting opportunity isn't automating CRM updates—it's making clean revenue data the infrastructure that every sales decision can safely depend on. I'd keep validating whether customers adopt AskElephant to save manual work or because fixing the data layer unlocks forecasting, coaching, and execution they couldn't trust before. That's a much stronger position.