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
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
DevRev is extending beyond its original support-and-product platform into a broader enterprise AI agent play, pitching Computer as a system that reasons across a company's live data through a shared-memory layer and publishing its own efficiency benchmark to argue the case against general-purpose assistants. What conversation exists centers on the company's own community events and regional meetups, occasional practitioner citations of its published token-efficiency numbers, and its position within the wider enterprise-agent category. It's a quieter footprint so far, consistent with a company still building out that broader positioning.
Qualified
1up
Supademo
Topo
Actively AIBILL, 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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