Overall Winner: Faculty AI·60/ 100
VS
F
Faculty AIWinner

ABEJA vs Faculty AI

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

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 →
Winner
F
Faculty AI

🇬🇧 United Kingdom · Marc Warner

Series BEnterprise AIEst. 2014

Valuation

N/A

Total Funding

$42M

60
Awaira Score60/100

100-500 employees

Full Faculty AI Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both ABEJA and Faculty 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. Faculty AI provides applied AI consulting, products, and platform services to government agencies and enterprise clients across the United Kingdom and beyond.

Neither company has publicly disclosed a valuation at this time. On the funding side, ABEJA has raised $50M in total — $8M more than Faculty AI's $42M.

ABEJA has 2 years more market experience, having been founded in 2012 compared to Faculty AI's 2014 founding. In terms of growth stage, ABEJA is at Series C while Faculty AI is at Series B — a meaningful difference for investors evaluating risk and upside.

ABEJA operates out of 🇯🇵 Japan while Faculty AI is based in 🇬🇧 United Kingdom, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, both companies are closely matched — ABEJA scores 55 and Faculty AI scores 60.

Metrics Comparison

MetricABEJAFaculty AI
💰Valuation
N/A
N/A
📈Total Funding
$50MWINS
$42M
📅Founded
2012
2014WINS
🚀Stage
Series C
Series B
👥Employees
100-500
100-500
🌍Country
Japan
United Kingdom
🏷️Category
Enterprise AI
Enterprise AI
Awaira Score
55
60WINS

Key Differences

📈

Funding gap: ABEJA has raised $8M more ($50M vs $42M)

📅

Market experience: ABEJA has 2 years more (founded 2012 vs 2014)

🚀

Growth stage: ABEJA is at Series C vs Faculty AI at Series B

🌍

Market base: 🇯🇵 ABEJA (Japan) vs 🇬🇧 Faculty AI (United Kingdom)

⚔️

Direct competitors: Both operate in the Enterprise AI market segment

Awaira Score: Faculty AI scores 60/100 vs ABEJA's 55/100

Which Should You Choose?

Use these signals to make the right call

A

Choose ABEJA if…

  • 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
F

Choose Faculty AI if…

Top Pick
  • Higher Awaira Score — 60/100 vs 55/100
  • United Kingdom-based for regional compliance or proximity
  • Faculty AI provides applied AI consulting, products, and platform services to government agencies and enterprise clients across the United Kingdom and beyond

Users Also Compare

FAQ — ABEJA vs Faculty AI

Is ABEJA bigger than Faculty AI?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. ABEJA employs 100-500 people, while Faculty AI has 100-500 employees.
Which company raised more funding — ABEJA or Faculty AI?
ABEJA has raised more in total funding at $50M, compared to Faculty AI's $42M — a gap of $8M.
Which company has a higher Awaira Score?
Faculty AI holds the higher Awaira Score at 60/100, compared to ABEJA's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.
Who founded ABEJA vs Faculty AI?
ABEJA was founded by Shoichiro Aoyama in 2012. Faculty AI was founded by Marc Warner in 2014. Visit each company's profile on Awaira for a full founder biography.
What does ABEJA do vs Faculty 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. Faculty AI: Faculty AI provides applied AI consulting, products, and platform services to government agencies and enterprise clients across the United Kingdom and beyond. The company builds custom machine learning models, deploys AI decision-support tools, and offers its Frontier data science platform for teams that need to build, deploy, and monitor models at scale.\n\nFaculty has raised approximately $42 million in venture funding and counts the UK National Health Service, the Cabinet Office, and major private sector firms among its clients. The company gained significant visibility for its work supporting the UK government COVID-19 response, supplying data analytics and epidemiological modelling capabilities. It maintains a team of AI researchers and engineers drawn from academic institutions including Oxford and Cambridge.\n\nThe company occupies a distinctive position in the UK AI services market, combining a commercial consulting practice with proprietary software products. Faculty competes with large consultancies such as McKinsey and Accenture as well as boutique AI firms for government and enterprise contracts. Its proximity to policymakers and its record of sensitive public-sector engagements give it a reputational edge in regulated-industry deployments where trust and UK data sovereignty are primary buying criteria.
Which company was founded first?
ABEJA was founded first in 2012, giving it 2 years of additional market experience. Faculty AI was founded later in 2014. 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?
Both ABEJA and Faculty AI report similar employee counts of approximately 100-500. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.
Are ABEJA and Faculty AI competitors?
Yes, ABEJA and Faculty 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.