Haber vs Glean

Glean has a disclosed valuation of $4.6B, while Haber'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 Haber's $35M — a gap of $565M. Combined, the two companies have completed 5 known funding rounds.

Glean holds the higher Awaira Score at 82/100, compared to Haber's 60/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 22-point gap that reflects meaningful differences in scale or traction.

Haber was founded by Prateek Singhal in 2016. Glean was founded by Arvind Jain in 2019. Visit each company's profile on Awaira for a full founder biography.

Haber: Haber is an industrial water management AI company that combines IoT sensors, chemical dosing systems, and AI analytics to optimize water treatment, recycling, and consumption in industrial facilities including manufacturing plants, textile factories, hotels, and commercial buildings. The platform continuously monitors water quality parameters and automatically adjusts treatment processes to minimize chemical consumption, energy use, and water waste while maintaining regulatory compliance.\n\nThe company raised approximately $35M in Series B funding from investors including Tata Capital and Mistletoe, and has deployed its water intelligence systems at hundreds of industrial facilities across India, Southeast Asia, and Japan. Haber's autonomous water management approach has demonstrated measurable reductions in water consumption and treatment chemical costs at customer sites.\n\nWater scarcity is one of the most significant industrial and environmental challenges facing India and the broader Asian region, with industrial water consumption under increasing regulatory and social pressure. Haber's AI-driven approach to industrial water efficiency addresses a compliance and cost imperative for manufacturers that cannot reduce output but must demonstrably improve water stewardship. 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.

Haber was founded first in 2016, giving it 3 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.

Haber has approximately 100-500 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, Haber 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.