DevRev vs Glean

Glean has a disclosed valuation of $4.6B, while DevRev's valuation is not publicly available, making a direct size comparison difficult. Glean employs 500 people.

Glean has raised more in total funding at $600M, compared to DevRev's $100M — a gap of $500M. Combined, the two companies have completed 5 known funding rounds.

Glean holds the higher Awaira Score at 82/100, compared to DevRev's 63/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 19-point gap that reflects meaningful differences in scale or traction.

DevRev was founded by Dhruv Jain in 2020. Glean was founded by Arvind Jain in 2019. Visit each company's profile on Awaira for a full founder biography.

DevRev: DevRev is an AI-powered platform that connects product development and customer success workflows, enabling companies to link customer issues, feature requests, and support tickets directly to engineering work items, creating a continuous feedback loop between what customers experience and what developers build. The platform combines CRM, issue tracking, and AI-powered customer insight synthesis into a unified product-led growth tool.\n\nThe company raised approximately $100M from investors including Khosla Ventures and Mayfield Fund, with a founding team that includes veterans from Nutanix with a track record of building enterprise infrastructure companies. DevRev has attracted customers among SaaS companies seeking tighter alignment between go-to-market and product development organizations.\n\nThe traditional separation of CRM and engineering tools creates significant information loss as customer feedback fails to systematically inform product prioritization. DevRev's integrated approach addresses this alignment problem with AI that surfaces customer-validated priorities for engineering teams, targeting a workflow integration gap that has been underserved by both CRM vendors and project management tools. Glean: Glean is an enterprise AI search and discovery platform founded in 2019 that helps organizations extract actionable insights from internal data. The company operates in the enterprise AI category, providing AI-powered search capabilities across fragmented corporate information systems including documents, emails, chat messages, and databases. Glean's core technology uses machine learning to understand context and intent, enabling employees to find relevant information and answers across previously disconnected data sources. The platform serves large enterprises seeking to improve productivity and knowledge accessibility. Glean competes in the growing enterprise search and generative AI market alongside companies like Perplexity and traditional search providers adapting to AI. The company has raised $600 million across multiple funding rounds, reaching a valuation of $4.6 billion as of its Series E stage. This funding positions Glean among well-capitalized AI startups addressing enterprise information retrieval challenges. The company targets mid-to-large organizations where data silos and information discovery present operational inefficiencies. Glean's growth trajectory reflects broader enterprise adoption of AI-powered search solutions as organizations increasingly prioritize knowledge worker productivity and unified information access across their technology stacks. Glean specializes in enterprise-specific AI search that unifies fragmented internal data sources rather than external web indexing.

Glean was founded first in 2019, giving it 1 year of additional market experience. DevRev was founded later in 2020. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

DevRev has approximately 200-500 employees, while Glean has approximately 500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, DevRev and Glean are direct competitors — both operate in the Enterprise AI space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.