Overall Winner: Recko·55/ 100
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ReckoWinner

LayerX vs Recko

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

L
LayerX

🇯🇵 Japan · Fukushima Yo

Series CAI FinanceEst. 2018

Valuation

N/A

Total Funding

$40M

50
Awaira Score50/100

100-500 employees

Full LayerX Profile →
Winner
R
Recko

🇮🇳 India · Saurya Prakash Sinha

AcquiredAI FinanceEst. 2017

Valuation

N/A

Total Funding

$16M

55
Awaira Score55/100

50-200 employees

Full Recko Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both LayerX and Recko compete directly in the AI Finance space, making this a head-to-head matchup within the same market segment. LayerX builds AI-powered business automation software for finance and procurement operations in Japanese enterprises, developing AI document processing tools that digitise, extract, and reconcile data from invoices, expense receipts, and procurement documents, integrating with Japanese accounting and ERP systems to automate approval workflows that currently rely on manual document review and physical stamp approval processes. Recko built a revenue reconciliation and financial operations platform that used AI to automate the complex process of matching transactions across payment gateways, banking systems, marketplaces, and internal ledgers for high-volume digital businesses.

Neither company has publicly disclosed a valuation at this time. On the funding side, LayerX has raised $40M in total — $24M more than Recko's $16M.

Recko has 1 year more market experience, having been founded in 2017 compared to LayerX's 2018 founding. In terms of growth stage, LayerX is at Series C while Recko is at Acquired — a meaningful difference for investors evaluating risk and upside.

LayerX operates out of 🇯🇵 Japan while Recko is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, both companies are closely matched — LayerX scores 50 and Recko scores 55.

Metrics Comparison

MetricLayerXRecko
💰Valuation
N/A
N/A
📈Total Funding
$40MWINS
$16M
📅Founded
2018WINS
2017
🚀Stage
Series C
Acquired
👥Employees
100-500
50-200
🌍Country
Japan
India
🏷️Category
AI Finance
AI Finance
Awaira Score
50
55WINS

Key Differences

📈

Funding gap: LayerX has raised $24M more ($40M vs $16M)

📅

Market experience: Recko has 1 year more (founded 2017 vs 2018)

🚀

Growth stage: LayerX is at Series C vs Recko at Acquired

👥

Team size: LayerX has 100-500 employees vs Recko's 50-200

🌍

Market base: 🇯🇵 LayerX (Japan) vs 🇮🇳 Recko (India)

⚔️

Direct competitors: Both operate in the AI Finance market segment

Awaira Score: Recko scores 55/100 vs LayerX's 50/100

Which Should You Choose?

Use these signals to make the right call

L

Choose LayerX if…

  • Stronger investor backing — raised $40M
  • Japan-based for regional compliance or proximity
  • LayerX builds AI-powered business automation software for finance and procurement operations in Japanese enterprises, developing AI document processing tools that digitise, extract, and reconcile data from invoices, expense receipts, and procurement documents, integrating with Japanese accounting and ERP systems to automate approval workflows that currently rely on manual document review and physical stamp approval processes
R

Choose Recko if…

Top Pick
  • Higher Awaira Score — 55/100 vs 50/100
  • More market experience — founded in 2017
  • India-based for regional compliance or proximity
  • Recko built a revenue reconciliation and financial operations platform that used AI to automate the complex process of matching transactions across payment gateways, banking systems, marketplaces, and internal ledgers for high-volume digital businesses

Users Also Compare

FAQ — LayerX vs Recko

Is LayerX bigger than Recko?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. LayerX employs 100-500 people, while Recko has 50-200 employees.
Which company raised more funding — LayerX or Recko?
LayerX has raised more in total funding at $40M, compared to Recko's $16M — a gap of $24M.
Which company has a higher Awaira Score?
Recko holds the higher Awaira Score at 55/100, compared to LayerX's 50/100. 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 LayerX vs Recko?
LayerX was founded by Fukushima Yo in 2018. Recko was founded by Saurya Prakash Sinha in 2017. Visit each company's profile on Awaira for a full founder biography.
What does LayerX do vs Recko?
LayerX: LayerX builds AI-powered business automation software for finance and procurement operations in Japanese enterprises, developing AI document processing tools that digitise, extract, and reconcile data from invoices, expense receipts, and procurement documents, integrating with Japanese accounting and ERP systems to automate approval workflows that currently rely on manual document review and physical stamp approval processes.\n\nThe company raised approximately $40 million in venture funding from investors including Z Venture Capital and Mitsui and Co. Digital Asset Management. LayerX Banban Receipt product automates receipt and expense management in a Japanese corporate context where physical receipts and stamp-based approval processes remain prevalent despite digital transformation efforts. The company also operates a financial AI research team publishing on privacy-preserving machine learning and financial AI applications.\n\nLayerX competes in the Japanese document AI and finance automation market against Sansan, Money Forward, and international AP automation vendors including Coupa and Basware that offer Japanese market versions. Japan large corporate sector, characterised by complex hierarchical approval processes and persistent paper-based workflows, creates substantial demand for AI automation that can replace manual document handling while integrating with legacy enterprise systems. The company focus on Japan-specific workflow requirements, including integration with Japanese accounting standards and stamp-based approval culture, gives it localisation depth that international vendors building Japan-specific versions of global products often lack. Recko: Recko built a revenue reconciliation and financial operations platform that used AI to automate the complex process of matching transactions across payment gateways, banking systems, marketplaces, and internal ledgers for high-volume digital businesses. The platform reduced manual reconciliation effort by automating exception identification, partner settlement calculations, and revenue recognition workflows.\n\nThe company raised approximately $16M in venture funding before being acquired by Stripe in 2022, marking a successful exit that validated the strategic importance of automated financial reconciliation infrastructure for global payment platforms. Prior to acquisition, Recko had built a customer base of major Indian fintech companies and digital commerce platforms managing large daily transaction volumes.\n\nThe acquisition by Stripe reflected the growing importance of financial operations automation as digital payment volumes scale beyond the capacity of manual reconciliation processes. Recko's technology is expected to enhance Stripe's financial management products for large enterprise customers globally, continuing the pattern of India-headquartered fintech infrastructure companies achieving exits to global payment leaders.
Which company was founded first?
Recko was founded first in 2017, giving it 1 year of additional market experience. LayerX was founded later in 2018. 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?
LayerX has approximately 100-500 employees, while Recko 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.
Are LayerX and Recko competitors?
Yes, LayerX and Recko are direct competitors — both operate in the AI Finance space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.