Overall Winner: Pagaya·70/ 100
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PagayaWinner
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Pagaya vs Recko

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

Winner
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Pagaya

🇮🇱 Israel · Gal Krubiner

PublicAI FinanceEst. 2016

Valuation

N/A

Total Funding

$600M

70
Awaira Score70/100

500-1000 employees

Full Pagaya Profile →
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 Pagaya and Recko compete directly in the AI Finance space, making this a head-to-head matchup within the same market segment. Pagaya operates an AI financial underwriting network that processes consumer loan applications on behalf of lenders, using machine learning models that evaluate creditworthiness across a broader set of data signals than traditional credit bureau scores, enabling lenders to approve more applicants while maintaining or improving default rates. 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, Pagaya has raised $600M in total — $584M more than Recko's $16M.

Pagaya has 1 year more market experience, having been founded in 2016 compared to Recko's 2017 founding. In terms of growth stage, Pagaya is at Public while Recko is at Acquired — a meaningful difference for investors evaluating risk and upside.

Pagaya operates out of 🇮🇱 Israel while Recko is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Pagaya leads with a score of 70, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricPagayaRecko
💰Valuation
N/A
N/A
📈Total Funding
$600MWINS
$16M
📅Founded
2016
2017WINS
🚀Stage
Public
Acquired
👥Employees
500-1000
50-200
🌍Country
Israel
India
🏷️Category
AI Finance
AI Finance
Awaira Score
70WINS
55

Key Differences

📈

Funding gap: Pagaya has raised $584M more ($600M vs $16M)

📅

Market experience: Pagaya has 1 year more (founded 2016 vs 2017)

🚀

Growth stage: Pagaya is at Public vs Recko at Acquired

👥

Team size: Pagaya has 500-1000 employees vs Recko's 50-200

🌍

Market base: 🇮🇱 Pagaya (Israel) vs 🇮🇳 Recko (India)

⚔️

Direct competitors: Both operate in the AI Finance market segment

Awaira Score: Pagaya scores 70/100 vs Recko's 55/100

Which Should You Choose?

Use these signals to make the right call

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Choose Pagaya if…

Top Pick
  • Higher Awaira Score — 70/100 vs 55/100
  • Stronger investor backing — raised $600M
  • More market experience — founded in 2016
  • Israel-based for regional compliance or proximity
  • Pagaya operates an AI financial underwriting network that processes consumer loan applications on behalf of lenders, using machine learning models that evaluate creditworthiness across a broader set of data signals than traditional credit bureau scores, enabling lenders to approve more applicants while maintaining or improving default rates
R

Choose Recko if…

  • 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 — Pagaya vs Recko

Is Pagaya bigger than Recko?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Pagaya employs 500-1000 people, while Recko has 50-200 employees.
Which company raised more funding — Pagaya or Recko?
Pagaya has raised more in total funding at $600M, compared to Recko's $16M — a gap of $584M.
Which company has a higher Awaira Score?
Pagaya holds the higher Awaira Score at 70/100, compared to Recko's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 15-point gap that reflects meaningful differences in scale or traction.
Who founded Pagaya vs Recko?
Pagaya was founded by Gal Krubiner in 2016. Recko was founded by Saurya Prakash Sinha in 2017. Visit each company's profile on Awaira for a full founder biography.
What does Pagaya do vs Recko?
Pagaya: Pagaya operates an AI financial underwriting network that processes consumer loan applications on behalf of lenders, using machine learning models that evaluate creditworthiness across a broader set of data signals than traditional credit bureau scores, enabling lenders to approve more applicants while maintaining or improving default rates. The Tel Aviv and New York company monetises by taking a network fee on loan volume processed through its AI underwriting system, funded by institutional investors who purchase the approved loan pools.\n\nThe company went public on NASDAQ via SPAC merger, having raised over $600 million in combined public and private funding from investors including Oak HC/FT and Viola Growth. Pagaya reports processing hundreds of billions of dollars in loan applications annually across personal loans, auto loans, and mortgage products, with network partners including SoFi, Ally Financial, and US Bank embedded in its origination technology. The business model operates as an AI network sitting between lenders who originate applications and institutional investors who fund approved loans.\n\nPageya competes in the AI credit underwriting market against ZestFinance, Upstart, and traditional credit bureau scoring models from Fair Isaac. Its network model, where multiple lenders access the same AI infrastructure and their collective data improves model performance over time, creates compounding advantages compared to single-lender AI implementations. The company has navigated regulatory scrutiny around AI lending decisions and disparate impact as financial regulators increase oversight of alternative data use in credit decisions. 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?
Pagaya was founded first in 2016, giving it 1 year of additional market experience. Recko was founded later in 2017. 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?
Pagaya has approximately 500-1000 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 Pagaya and Recko competitors?
Yes, Pagaya 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.