Overall Winner: ABEJA·55/ 100

ABEJA vs Arrowhead AI

In-depth comparison — valuation, funding, investors, founders & more

Winner
A
ABEJA

🇯🇵 Japan · Shoichiro Aoyama

Series CEnterprise AIEst. 2012

Valuation

N/A

Total Funding

$50M

55
Awaira Score55/100

100-500 employees

Full ABEJA Profile →
A
Arrowhead AI

🇮🇳 India · Suraj Sharma

SeedEnterprise AIEst. 2020

Valuation

N/A

Total Funding

N/A

35
Awaira Score35/100

10-50 employees

Full Arrowhead AI Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both ABEJA and Arrowhead AI compete directly in the Enterprise AI space, making this a head-to-head matchup within the same market segment. 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. Arrowhead AI is an early-stage industrial AI solutions company building machine learning applications for manufacturing and process industries, focusing on quality control automation, predictive maintenance, and production optimization use cases that reduce defect rates and unplanned downtime in industrial facilities.

Neither company has publicly disclosed a valuation at this time. ABEJA has raised $50M in disclosed funding.

ABEJA has 8 years more market experience, having been founded in 2012 compared to Arrowhead AI's 2020 founding. In terms of growth stage, ABEJA is at Series C while Arrowhead AI is at Seed — a meaningful difference for investors evaluating risk and upside.

ABEJA operates out of 🇯🇵 Japan while Arrowhead AI is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, ABEJA leads with a score of 55, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricABEJAArrowhead AI
💰Valuation
N/A
N/A
📈Total Funding
$50M
N/A
📅Founded
2012
2020WINS
🚀Stage
Series C
Seed
👥Employees
100-500
10-50
🌍Country
Japan
India
🏷️Category
Enterprise AI
Enterprise AI
Awaira Score
55WINS
35

Key Differences

📅

Market experience: ABEJA has 8 years more (founded 2012 vs 2020)

🚀

Growth stage: ABEJA is at Series C vs Arrowhead AI at Seed

👥

Team size: ABEJA has 100-500 employees vs Arrowhead AI's 10-50

🌍

Market base: 🇯🇵 ABEJA (Japan) vs 🇮🇳 Arrowhead AI (India)

⚔️

Direct competitors: Both operate in the Enterprise AI market segment

Awaira Score: ABEJA scores 55/100 vs Arrowhead AI's 35/100

Which Should You Choose?

Use these signals to make the right call

A

Choose ABEJA if…

Top Pick
  • Higher Awaira Score — 55/100 vs 35/100
  • Stronger investor backing — raised $50M
  • More market experience — founded in 2012
  • Japan-based for regional compliance or proximity
  • 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
A

Choose Arrowhead AI if…

  • India-based for regional compliance or proximity
  • Arrowhead AI is an early-stage industrial AI solutions company building machine learning applications for manufacturing and process industries, focusing on quality control automation, predictive maintenance, and production optimization use cases that reduce defect rates and unplanned downtime in industrial facilities

Users Also Compare

FAQ — ABEJA vs Arrowhead AI

Is ABEJA bigger than Arrowhead AI?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. ABEJA employs 100-500 people, while Arrowhead AI has 10-50 employees.
Which company raised more funding — ABEJA or Arrowhead AI?
ABEJA has raised $50M in disclosed funding across 0 known rounds. Arrowhead AI's funding history is not publicly available.
Which company has a higher Awaira Score?
ABEJA holds the higher Awaira Score at 55/100, compared to Arrowhead AI's 35/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 20-point gap that reflects meaningful differences in scale or traction.
Who founded ABEJA vs Arrowhead AI?
ABEJA was founded by Shoichiro Aoyama in 2012. Arrowhead AI was founded by Suraj Sharma in 2020. Visit each company's profile on Awaira for a full founder biography.
What does ABEJA do vs Arrowhead AI?
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. Arrowhead AI: Arrowhead AI is an early-stage industrial AI solutions company building machine learning applications for manufacturing and process industries, focusing on quality control automation, predictive maintenance, and production optimization use cases that reduce defect rates and unplanned downtime in industrial facilities. The company targets Indian manufacturing companies undergoing digital transformation who need practical AI applications rather than research-grade solutions.\n\nThe company is in Seed stage with limited disclosed funding and is in the process of building initial customer deployments and validating its AI models in real manufacturing environments. Arrowhead AI operates in the industrial AI category that has seen growing enterprise interest as manufacturers seek to use production data they have historically collected but not fully utilized.\n\nIndia's manufacturing sector is a significant AI adoption opportunity, with millions of production workers and substantial installed equipment base that generates rich operational data. Arrowhead AI is building at the intersection of industrial domain expertise and modern AI capabilities, targeting a market where the combination of local presence, domain knowledge, and technical capability is essential for successful deployment.
Which company was founded first?
ABEJA was founded first in 2012, giving it 8 years of additional market experience. Arrowhead AI 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.
Which company has more employees?
ABEJA has approximately 100-500 employees, while Arrowhead AI has approximately 10-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are ABEJA and Arrowhead AI competitors?
Yes, ABEJA and Arrowhead 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.