FarEye vs Glean

Glean has a disclosed valuation of $4.6B, while FarEye'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 FarEye'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 FarEye's 68/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 14-point gap that reflects meaningful differences in scale or traction.

FarEye was founded by Kushal Nahata in 2013. Glean was founded by Arvind Jain in 2019. Visit each company's profile on Awaira for a full founder biography.

FarEye: FarEye is an AI-powered intelligent delivery management platform that helps enterprises, 3PLs, and retailers optimize last-mile delivery operations through real-time visibility, dynamic route optimization, carrier management, and customer experience orchestration. The platform processes delivery data across owned fleets and third-party carriers to predict delivery windows, reduce failed deliveries, and minimize operational costs.\n\nThe company raised approximately $100M in Series E funding from investors including Fundamentum, Eight Roads Ventures, and Saif Partners, and serves major global retailers, logistics providers, and courier companies across North America, Europe, and Asia. FarEye's customer list includes DHL, Walmart, and other top-tier enterprises with large-scale delivery operations.\n\nLast-mile delivery is the most expensive and complex segment of the supply chain, accounting for over 50% of total logistics costs for e-commerce operations. FarEye's AI platform addresses this cost and complexity challenge at scale, and its enterprise customer penetration across geographies demonstrates the global applicability of its delivery intelligence capabilities. 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.

FarEye was founded first in 2013, giving it 6 years of additional market experience. Glean was founded later in 2019. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

FarEye has approximately 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, FarEye 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.