ABEJA vs Cohere

Cohere has a disclosed valuation of $5.5B, while ABEJA's valuation is not publicly available, making a direct size comparison difficult. Cohere employs 500 people.

Cohere has raised more in total funding at $445M, compared to ABEJA's $50M — a gap of $395M. Combined, the two companies have completed 5 known funding rounds.

Cohere holds the higher Awaira Score at 83/100, compared to ABEJA's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 28-point gap that reflects meaningful differences in scale or traction.

ABEJA was founded by Shoichiro Aoyama in 2012. Cohere was founded by Aidan Gomez in 2019. Visit each company's profile on Awaira for a full founder biography.

ABEJA: ABEJA develops AI platform products for retail operations and manufacturing quality control, applying computer vision to analyse in-store customer behaviour and product performance in retail environments, and deploying visual inspection AI for defect detection in manufacturing production lines. The Tokyo company has built an enterprise software business serving Japanese retailers and manufacturers seeking to apply AI to operational problems without building internal AI engineering teams.\n\nThe company raised approximately $50 million in venture funding from investors including SBI Investment, SMBC Venture Capital, and KDDI Open Innovation Fund. ABEJA serves major Japanese retailers, convenience store chains, and manufacturing companies with AI analytics that derive insights from existing camera infrastructure in stores and factories. The company ABEJA Platform cloud product allows enterprise clients to build, deploy, and manage computer vision AI applications with managed infrastructure that reduces the AI operations burden.\n\nABEJA competes in the Japanese enterprise AI market alongside Retail AI (a Seven-Eleven Japan subsidiary) and international computer vision vendors. Japan large retail and manufacturing sectors, combined with limited English-language AI vendor support and preference for domestic supplier relationships in enterprise procurement, create a favourable environment for domestic AI platform companies with established enterprise relationships. The company participation in Japan government digital transformation initiatives has provided additional channels for deploying AI in public sector and infrastructure applications. Cohere: Cohere is a Canadian enterprise AI company founded in 2019 that develops large language models (LLMs) and generative AI solutions for business applications. The company provides API access to proprietary language models designed for tasks including text generation, semantic search, classification, and summarization. Cohere's platform enables enterprises to integrate advanced natural language processing capabilities into existing workflows without building AI infrastructure from scratch. The company positions itself in the competitive LLM market alongside OpenAI, Anthropic, and other model developers, differentiating through enterprise-focused features, customization options, and emphasis on responsible AI deployment. Cohere's models power applications across customer service, content generation, document analysis, and knowledge management sectors. As of its Series D funding round, Cohere has raised $445 million in total funding, achieving a valuation of $5.5 billion. The company operates primarily in the cloud-based AI services space, offering both API-based access and custom model fine-tuning for enterprise clients. Notable adoption has emerged from financial services, technology, and professional services sectors, though specific customer names remain largely undisclosed in public statements. The company competes on technical capability, deployment flexibility, and enterprise support infrastructure rather than consumer brand recognition, reflecting its B2B strategic focus and positioning within the rapidly expanding generative AI market for institutional buyers. Cohere focuses exclusively on enterprise applications of language models rather than consumer-facing products, emphasizing customization and responsible deployment for institutional clients.

ABEJA was founded first in 2012, giving it 7 years of additional market experience. Cohere 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.

ABEJA has approximately 100-500 employees, while Cohere 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, ABEJA and Cohere 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.