For SaaS companies, DevRev is an AI-native platform that connects product development and customer support in one system, giving product and support teams a shared view of customer issues and roadmap work.
Presence & Market Position
#62 of 74
AI-Native GTM Challengers
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
DevRev is building itself as an AI-native alternative to stitching together separate support, product, and engineering tools, centering the pitch on a single data graph and an AI agent, Computer, that carries shared memory across a team rather than starting fresh each session. Executive content pushes past the demo and into measurement, publishing an agent-autonomy benchmark that grades task complexity from basic to fully autonomous. Conversation around the brand leans toward community building as much as product debate: sponsorship of local operator meetups and city-chapter events across the SF, NYC, and Boston tech scenes appears alongside the product narrative, adding an in-person dimension to how the brand shows up.
Qualified
Nooks
Grain
Actively AI
EndgameBILL, Bajaj Finserv, ICICI Prudential Life Insurance, Bolt, Uniphore, Phenom, ActionIQ, Descope, Skedulo, 100ms
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Business Profile
DevRev was founded in 2020 by Dheeraj Pandey and Manoj Agarwal, coming off their run building and leading Nutanix through its 2016 IPO. The company raised a Series A in 2024 that valued it near $1.2 billion on about $100 million in ARR, and has grown to a team of roughly 800 across a dozen-plus offices spanning Palo Alto, India, Latin America, Europe, and Asia. It launched Computer, its enterprise AI agent platform, in late 2025 and spent 2026 taking it international, with regional launch events in India and the Netherlands. DevRev remains independent, built around its founders' original mission of pairing human and AI work in one shared system.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
DevRev's core product, Computer, is built around agents from the start: Agent Studio lets teams build and deploy agents that take action without writing code, backed by a shared-memory layer meant to keep those agents grounded in live enterprise data rather than static context. The platform exposes API, MCP, and SDK surfaces; the MCP layer today centers on using AI coding assistants like Claude Code to help configure the AirSync data-connector mappings that feed that shared memory.
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