Ridge-i vs yellow.ai

yellow.ai has a disclosed valuation of $1B, while Ridge-i's valuation is not publicly available, making a direct size comparison difficult. yellow.ai employs 800 people.

yellow.ai has raised more in total funding at $102M, compared to Ridge-i's $30M — a gap of $72M. Combined, the two companies have completed 4 known funding rounds.

yellow.ai holds the higher Awaira Score at 73/100, 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 23-point gap that reflects meaningful differences in scale or traction.

Ridge-i was founded by Shinya Sasaki in 2015. yellow.ai was founded by Raghu Ravinutala in 2016. 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. yellow.ai: yellow.ai is an India-based enterprise AI platform founded in 2016 that specializes in conversational AI and automation solutions for businesses. The company develops a cloud-based platform enabling organizations to build, deploy, and manage AI-powered chatbots and virtual assistants across multiple channels including voice, chat, and messaging applications. Its core technology focuses on natural language processing and machine learning to handle customer service, sales, and operational automation workflows. The platform serves enterprise clients across industries including banking, retail, telecommunications, and hospitality. yellow.ai's solution addresses customer engagement, lead qualification, complaint resolution, and internal process automation. The company operates in the competitive conversational AI market alongside players like Intercom, Drift, and others, differentiating through its multilingual capabilities and focus on emerging markets. As of its last funding round, yellow.ai achieved unicorn status with a $1.0 billion valuation and has raised $102 million across multiple funding rounds through Series C stage. The company has expanded its customer base and product capabilities, including sentiment analysis, intent recognition, and omnichannel deployment. Its growth trajectory reflects increasing enterprise demand for AI-driven customer experience automation and operational efficiency solutions in Asia-Pacific markets. yellow.ai combines conversational AI with omnichannel deployment specifically optimized for enterprises in emerging markets, particularly Asia.

Ridge-i was founded first in 2015, giving it 1 year of additional market experience. yellow.ai was founded later in 2016. 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 yellow.ai has approximately 800. 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 yellow.ai 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.