The platform for
monetizing usage data
Our platform was designed to simplify consumption-based commerce. We help you connect and monetize usage data to enable new business models.
See product overview
What you can do with our Usage Data Platform
Usage-based monetization
Increase revenue with usage-based subscriptions and pricing.
Finance system consolidation
Quickly and securely consolidate multiple billing systems.
Quote-to-cash automation
Simplify your Q2C process with a fully automated solution.
Telecom mediation
Get a high-performance solution for 5G data and connectivity.
“The Usage Data Platform is filling a major gap in existing architectures”
Unlike generic data integration tools, the Usage Data Platform was developed specifically to monetize usage data. It’s the only platform purpose built for converting raw usage data into billable items in order to enable usage-based business models.
The platform interacts with the most critical revenue systems, ensuring accurate billing to your customers and no loss of revenue in the process.
Emiliano Sorrenti
CIO Rome Airports
Trusted by industry leaders.
Some of the world’s most well-known brands use our platform to deliver usage-based services. We also partner with industry leaders to minimize revenue leakage in billing processes.
$28 million saved
From zero revenue leakage
for travel booking company
5 million
Transactions per second
for tier one telecom operator
300 BSS
To just a few for a
tier one telecom operator
90% reduction
In revenue leakage for
DigitalRoute customers
85% less
Time spent on manual
processes with our platform
400 billion events
Handled every day for
one telecom company
DigitalRoute has been helping companies automate complex billing processes for more than 20 years. Our platform was purpose built to process millions of transactions per second.
Analyst webinar:
Taking on the data challenges in Quote to Cash
Learn from MGI Research how what they coin Mediation 2.0 is becoming the system of record for managing data in the Quote to Cash stack and how the old way of dealing with data management through homegrown solutions, manual processes or generic integration tools is becoming obsolete, as companies want to innovate and modernize their business models.