Ridge-i vs Glean

Glean has a disclosed valuation of $4.6B, while Ridge-i'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 Ridge-i's $30M — a gap of $570M. Combined, the two companies have completed 5 known funding rounds.

Glean holds the higher Awaira Score at 82/100, compared to Ridge-i's 50/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 32-point gap that reflects meaningful differences in scale or traction.

Ridge-i was founded by Shinya Sasaki in 2015. Glean was founded by Arvind Jain in 2019. Visit each company's profile on Awaira for a full founder biography.

Ridge-i: Ridge-i applies AI to social infrastructure inspection, public safety, and industrial monitoring, developing computer vision and AI analysis systems for inspecting power transmission lines, bridges, railways, and other critical infrastructure using drone imagery and sensor data. The Tokyo company provides AI-powered inspection services and software to utilities, government agencies, and infrastructure operators that need to maintain aging physical assets at lower cost and higher inspection frequency than manual inspection allows.\n\nThe company raised approximately $30 million in venture funding from Japanese investors including SBI Investment and Mitsui and Co. Venture Partners. Ridge-i has deployed AI inspection systems across Japan electricity transmission network, bridges under national highway authority management, and railway infrastructure, contributing to the broader Japanese government digital transformation initiative for aging infrastructure management. The company combines AI software development with technical domain expertise in infrastructure engineering.\n\nRidge-i competes in the Japanese infrastructure AI market alongside GeoCV, Bentley Systems, and the infrastructure inspection divisions of major Japanese engineering consultancies including Nippon Koei and Pasco. Japan aging infrastructure portfolio and the demographic reality of declining civil engineering workforce availability creates a structural demand for AI-assisted inspection that can extend the effective capacity of existing inspection personnel. Government contracts for infrastructure inspection AI represent a growing budget category as Japanese national and prefectural governments pursue digital transformation of maintenance operations. 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.

Ridge-i was founded first in 2015, giving it 4 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.

Ridge-i 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, Ridge-i 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.