Euphonic AI is the growth acceleration platform for revenue operations and GTM teams. It continuously monitors the data handoffs across complex revenue stacks—finding the silent failures no one can see, fixing them with root-cause analysis and step-by-step remediation, and adapting as the stack evolves.
To deliver this value across complex enterprise environments, Euphonic needs reliable access to customer data across CRM, marketing automation, sales engagement, and database systems. By embedding CData, Euphonic standardized connectivity across systems such as Salesforce, HubSpot, Marketo, Eloqua, Salesloft, and PostgreSQL—reducing integration overhead, simplifying access to source data, and freeing up at R&D time for core product development.
The challenge: Scaling across complex RevTech stack
Euphonic’s customers rely on complex RevTech stacks, often consisting of 60+ tools such as Salesforce, HubSpot, Marketo, Eloqua, and PostgreSQL. While each system performs well individually, the handoffs between them break constantly, causing data drift, silent failures, and missed revenue.
To power its platform, Euphonic needed reliable access to data across all of these systems. Initially, the team built custom connectors for each integration. This approach introduced significant overhead, requiring ongoing maintenance and deep system-specific expertise.
As a result, engineering resources were diverted away from Euphonic’s core focus—building the self-healing engine that finds and fixes what's breaking between systems. Integration work alone accounted for an estimated 25% of R&D effort, slowing product development and impacting roadmap velocity.
“Connecting to each customer system requires careful thought and effort, and each system brings its own nuances and quirks—making this work highly resource- and time-consuming.”
— Asa Whillock, Co-Founder & CEO, Euphonic AI
The solution: Standardized connectivity to accelerate development
Euphonic AI turned to CData to simplify and standardize connectivity across its platform. By embedding CData’s connectivity, the team gained a consistent way to access data across a wide range of systems, reducing the need for custom integration work.
CData stood out for the breadth and depth of its connectivity. Euphonic valued the ODBC interface as a common access layer across many APIs, helping keep internal interfaces low in complexity. The team also cited connector coverage, metadata discovery, stability, and advanced options for fine-tuning performance as key reasons for choosing CData over open-source alternatives and other vendors.
Implementation was smooth—Euphonic was querying systems like HubSpot and Salesforce within days.
“CData gave us a common interface for accessing many APIs, along with advanced options to fine-tune performance where it matters most.”
— Dylan Sherry, Co-Founder & CTO, Euphonic AI
The outcome: Accelerating development while enabling continuous AI-driven diagnostics
With CData Embed, Euphonic AI reduced the engineering effort required to support connectivity across complex RevTech environments. The team estimates that relying on CData’s connectivity has saved at least 25% of its R&D time—time that would otherwise have gone toward building and maintaining custom connectors.
That shift allowed Euphonic to focus more on its core product: continuously monitoring every data hand-off across revenue systems—finding what's breaking, fixing it with root-cause analysis and dollar-value impact, and adapting as the stack evolves.
With reliable connectivity in place, Euphonic's AI agents run 100+ diagnostic scenarios continuously across the customer's revenue stack—identifying sync failures, data drift, field mapping errors, routing breakdowns, and attribution gaps. Each finding includes root-cause analysis in plain language, step-by-step remediation, and a dollar-value impact so teams can prioritize what matters most. The diagnostics are autonomous. The fixes are human-approved, delivered as reports that admins can execute immediately.
With CData, Euphonic AI has built a more stable and consistent connectivity foundation, replacing custom-built and open-source integrations with standardized connectivity. This has reduced variability across integrations and given Euphonic greater confidence in the reliability of its data access—an important factor for enterprise customers. With a common interface in place, Euphonic is better positioned to scale across customer environments without repeating the same custom integration work for every system.
"Relying on stable CData connectivity to each of our integrated systems has saved us at least 25% of our R&D time."
— Dylan Sherry, Co-Founder and CTO, Euphonic AI
With CData Embed, Euphonic turned connectivity from a development burden into a scalable foundation. With integration complexity handled, the team can focus on what it does best—finding and fixing the silent failures that cost enterprises millions across their revenue stacks.
Learn how CData can help you simplify customer data connectivity and accelerate your product development.
