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Meet the first AI-powered multi-vendor data enrichment solution
Get the highest quality data on the market. If you feel let down by your data vendors, you’ve come to the right place.
The only data enrichment solution you need
Meet our multi-vendor data enrichment waterfall
Our unique waterfall approach layers the best data from top providers to cover your entire market. Why settle for a single data vendor when you can have the best from them all?
Data to power your go-to-market
Up to 40% better match rates than the leading data vendor
Say goodbye to underperforming, complicated, and impossible-to-measure data solutions.
High quality data and ROI you can actually measure
Our data marketplace
All the best data providers. Easy to use. One contract.
Get enrichment data from top vendors that’s complete, accurate, and carefully curated to help you respond to buying signals faster, and connect buyers with sellers.
Map your entire market with global company data. Target buyers using intent and technographic data, plus detailed contact info and top mobile numbers—all in one place.
Targeted data for every use case
Full data transparency
When was the last time your data vendors proved their worth?
What stands out is the ability to run all these processes within Openprise, without needing to push data back into the system to see the results. The ability to move data in and out of Openprise—and manage that data within Openprise as a sandbox simulation—is really where the value of the platform lies.”
Roberto Fernández Madero
Manager of marketing operations, Zendesk
End-to-end data enrichment automation
No more manual tasks means you can scale even faster
Automate data cleansing and enrichment with a seamless, AI-powered data supply chain from all your sources. Enjoy easy sourcing, ongoing data updates, and automatic CRM enrichment—no more manual list management or file transfers.
Easily integrate third-party data into your systems, and level-up your GTM strategy. Our data enrichment solution will help you scale faster, eliminate errors, and improve data quality.
