ABEJA vs Convin

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. ABEJA employs 100-500 people, while Convin has 50-200 employees.

ABEJA has raised more in total funding at $50M, compared to Convin's $10M — a gap of $40M.

Both ABEJA and Convin share the same Awaira Score of 55/100. The Awaira Score is a composite metric that factors in valuation, total funding raised, company stage, employee count, and market category.

ABEJA was founded by Shoichiro Aoyama in 2012. Convin was founded by Bharat Patidar in 2020. 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. Convin: Convin is a conversation intelligence platform that records, transcribes, and analyzes sales and support calls to generate automated coaching, compliance monitoring, and performance benchmarking for contact centers. The platform uses AI to identify winning conversation patterns, flag compliance violations, and auto-score agent performance without manual review.\n\nThe company raised approximately $10M in Series A funding and serves inside sales teams and contact centers in BFSI, edtech, and insurance sectors across India. Convin's auto-quality-assurance feature allows contact center managers to evaluate 100% of calls rather than the traditional 2-5% manual sampling rate.\n\nThe contact center AI market in India is substantial, driven by the country's large outsourced services industry. Convin competes with established players but differentiates through a focus on automated QA and real-time agent guidance, reducing the cost and delay of manual performance management in high-volume call environments.

ABEJA was founded first in 2012, giving it 8 years of additional market experience. Convin was founded later in 2020. 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 Convin has approximately 50-200. 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 Convin 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.