Convin vs Glean

Glean has a disclosed valuation of $4.6B, while Convin'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 Convin's $10M — a gap of $590M. Combined, the two companies have completed 5 known funding rounds.

Glean holds the higher Awaira Score at 82/100, compared to Convin's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 27-point gap that reflects meaningful differences in scale or traction.

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

Convin: Convin is a conversation intelligence platform that records, transcribes, and analyzes sales and support calls to generate automated coaching, compliance monitoring, and performance benchmarking for contact centers. The platform uses AI to identify winning conversation patterns, flag compliance violations, and auto-score agent performance without manual review.\n\nThe company raised approximately $10M in Series A funding and serves inside sales teams and contact centers in BFSI, edtech, and insurance sectors across India. Convin's auto-quality-assurance feature allows contact center managers to evaluate 100% of calls rather than the traditional 2-5% manual sampling rate.\n\nThe contact center AI market in India is substantial, driven by the country's large outsourced services industry. Convin competes with established players but differentiates through a focus on automated QA and real-time agent guidance, reducing the cost and delay of manual performance management in high-volume call environments. 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. Convin 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.

Convin has approximately 50-200 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, Convin 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.