Overall Winner: Captions·67/ 100
VS
C
CaptionsWinner

ABEJA vs Captions

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
C
Captions

🇺🇸 United States · Gaurav Misra

Series CEnterprise AIEst. 2021

Valuation

$500M

Total Funding

$100M

67
Awaira Score67/100

150 employees

Full Captions Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both ABEJA and Captions 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. Captions is an enterprise AI company founded in 2021 that develops video understanding and analysis technology.

Captions carries a known valuation of $500M, while ABEJA's valuation has not been publicly disclosed. On the funding side, Captions has raised $100M in total — $50M more than ABEJA's $50M.

ABEJA has 9 years more market experience, having been founded in 2012 compared to Captions's 2021 founding. Both companies are currently at the Series C stage of their journey.

ABEJA operates out of 🇯🇵 Japan while Captions is based in 🇺🇸 United States, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Captions leads with a score of 67, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricABEJACaptions
💰Valuation
N/A
$500M
📈Total Funding
$50M
$100MWINS
📅Founded
2012
2021WINS
🚀Stage
Series C
Series C
👥Employees
100-500
150
🌍Country
Japan
United States
🏷️Category
Enterprise AI
Enterprise AI
Awaira Score
55
67WINS

Key Differences

📈

Funding gap: Captions has raised $50M more ($100M vs $50M)

📅

Market experience: ABEJA has 9 years more (founded 2012 vs 2021)

👥

Team size: ABEJA has 100-500 employees vs Captions's 150

🌍

Market base: 🇯🇵 ABEJA (Japan) vs 🇺🇸 Captions (United States)

⚔️

Direct competitors: Both operate in the Enterprise AI market segment

Awaira Score: Captions scores 67/100 vs ABEJA's 55/100

Which Should You Choose?

Use these signals to make the right call

A

Choose ABEJA if…

  • 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
C

Choose Captions if…

Top Pick
  • Higher Awaira Score — 67/100 vs 55/100
  • More established by valuation ($500M)
  • Stronger investor backing — raised $100M
  • United States-based for regional compliance or proximity
  • Captions is an enterprise AI company founded in 2021 that develops video understanding and analysis technology

Users Also Compare

FAQ — ABEJA vs Captions

Is ABEJA bigger than Captions?
Captions has a disclosed valuation of $500M, while ABEJA's valuation is not publicly available, making a direct size comparison difficult. Captions employs 150 people.
Which company raised more funding — ABEJA or Captions?
Captions has raised more in total funding at $100M, compared to ABEJA's $50M — a gap of $50M.
Which company has a higher Awaira Score?
Captions holds the higher Awaira Score at 67/100, compared to ABEJA's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.
Who founded ABEJA vs Captions?
ABEJA was founded by Shoichiro Aoyama in 2012. Captions was founded by Gaurav Misra in 2021. Visit each company's profile on Awaira for a full founder biography.
What does ABEJA do vs Captions?
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. Captions: Captions is an enterprise AI company founded in 2021 that develops video understanding and analysis technology. The platform uses computer vision and machine learning to automatically generate captions, transcripts, and metadata from video content at scale. Captions serves organizations across media, enterprise communications, and compliance-heavy industries that need to process large volumes of video efficiently. The company's core technology focuses on speech-to-text conversion, speaker identification, and content indexing to make video searchable and accessible. Its platform integrates with existing video infrastructure and content management systems, enabling automated compliance, accessibility, and discoverability workflows. Notable applications include internal communications, training video management, and regulatory compliance documentation. Captions has raised $100 million in total funding and achieved a $500 million valuation as of Series C stage. The company competes in the growing market for enterprise video AI alongside providers like Rev and other transcription platforms, while differentiating through video-specific capabilities and enterprise-grade infrastructure. The funding trajectory reflects investor confidence in the video accessibility and searchability market, though Not disclosed regarding specific customer counts or revenue metrics. Growth appears tied to increasing enterprise demand for automated video processing and compliance documentation. Captions addresses the enterprise need to make video content machine-readable and searchable through automated AI analysis rather than manual workflows.
Which company was founded first?
ABEJA was founded first in 2012, giving it 9 years of additional market experience. Captions was founded later in 2021. 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 Captions has approximately 150. 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 Captions competitors?
Yes, ABEJA and Captions 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.