Companies that use DevRev

Source: Analysis of Linkedin bios of 42 companies that use DevRev

I noticed that DevRev's customers are predominantly B2B software and technology companies building platforms, infrastructure, or tools for other businesses. These aren't consumer apps. They're creating customer engagement platforms, voice AI APIs, identity management systems, shipping automation software, workforce management tools, and development security products. Many are selling to enterprises or developers, with several explicitly mentioning that they serve "developers" or are "trusted by" large enterprise customers.

These are primarily growth-stage companies, not early startups or mature corporations. My analysis shows most have between 50 and 500 employees, with funding stages concentrated in Series A, B, and Seed rounds. The funding amounts range from $2.8M to over $100M, suggesting companies that have proven product-market fit and are now scaling. They're past the scrappy startup phase but not yet massive enterprises. They have real customers, real revenue, and are in that critical scaling moment where operations, support, and customer success become make-or-break.

Source: Analysis of tech stacks from 42 companies that use DevRev

I noticed that DevRev users are growth-stage B2B SaaS companies with sophisticated revenue operations and a strong emphasis on team alignment. The combination of sales enablement tools, employee management platforms, and modern infrastructure tells me these are scaling companies that need to coordinate complex customer-facing operations while managing rapid team expansion.

The pairing of Clari and Outreach is particularly revealing. These companies are running enterprise sales motions with forecasting needs important enough to justify dedicated revenue intelligence software. When I see Factors.ai alongside these tools, it suggests they're trying to connect product usage signals and customer data back to their sales processes. They want attribution and they want to understand the full customer journey. MongoDB Atlas appearing so frequently indicates these are technology companies building their own products, likely with complex data needs that require flexible, scalable databases.

My analysis shows these are definitively sales-led organizations, probably in that critical phase between Series B and pre-IPO where operational efficiency becomes paramount. Lattice and Expensify appearing together suggests companies with 100-500 employees who are formalizing people operations and expense management. They've moved past startup chaos but haven't yet become enterprise bureaucracies. The full stack reveals companies investing heavily in understanding and optimizing their revenue engine while simultaneously building the operational infrastructure to support a growing team.