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Feedzai vs Pagaya

Side-by-side on valuation, funding, investors, founders & more

Comparison updated: April 2026

Feedzai is valued at $2B — more than 3x Pagaya's N/A.

Head-to-Head Verdict

Feedzai leads on 2 of 4 metrics

Feedzai

2 wins

-Funding
=Awaira Score
+Team Size
+Experience

Pagaya

1 win

+Funding
=Awaira Score
-Team Size
-Experience

Key Numbers

Valuation
$2B
N/A
Total Funding
$352M
$600M
Awaira Score
70/100
70/100
Employees
600
500-1000
Founded
2011
2016
Stage
Series D
Public
FeedzaiPagaya
Winner
Feedzai logo
Feedzai

🇵🇹 Portugal · Nuno Sebastiao

Series DAI FinanceEst. 2011

Valuation

$2B

Total Funding

$352M

Awaira Score70/100

600 employees

Full Feedzai Profile →
Pagaya logo
Pagaya

🇮🇱 Israel · Gal Krubiner

PublicAI FinanceEst. 2016

Valuation

N/A

Total Funding

$600M

Awaira Score70/100

500-1000 employees

Full Pagaya Profile →
Market Context

Both companies compete in the AI Finance space, though from different geographies — Feedzai in Portugal and Pagaya in Israel. Different stages (Series D vs Public) mean these companies face fundamentally different operational priorities.

🔬

Analyst Summary

Built from real data · Updated April 2026

Companies

Feedzai and Pagaya are direct competitors in AI Finance. Feedzai is a Portuguese AI company founded in 2011 that specializes in financial crime prevention and risk management solutions. 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.

Funding & Valuation

Only Feedzai has a public valuation on record ($2B); Pagaya's has not been disclosed. Both have attracted significant capital — Pagaya with $600M and Feedzai with $352M.

Growth Stage

Pagaya is the younger company by 5 years, having launched in 2016 compared to Feedzai's 2011 founding. Stage-wise, Feedzai is classified as Series D and Pagaya as Public, reflecting divergent fundraising histories. Team sizes also differ: Feedzai employs 600 people versus Pagaya's 500-1000.

Geography & Outlook

Geography separates them: Feedzai in 🇵🇹 Portugal and Pagaya in 🇮🇱 Israel, each benefiting from local ecosystems. Awaira's composite score rates them neck-and-neck: Feedzai at 70 and Pagaya at 70 out of 100. Under Nuno Sebastiao and Gal Krubiner respectively, both companies continue to chart aggressive growth paths.

Funding Velocity

Feedzai

Total Rounds4
Avg. Round Size$70.6M
Funding Span8.2 yrs

Pagaya

Total Rounds1
Avg. Round Size$102M

Funding History

Feedzai has completed 4 funding rounds, while Pagaya has gone through 1. Feedzai's most recent round was a Series D of $200M, compared to Pagaya's Series D ($102M). Feedzai is at Series D while Pagaya is at Public — different points in their growth trajectory.

Team & Scale

Team sizes are in the same ballpark: Feedzai has about 600 people and Pagaya has around 500-1000. Feedzai has a 5-year head start, founded in 2011 vs Pagaya's 2016. Geographically, they're in different markets — Feedzai operates out of Portugal and Pagaya from Israel.

Metrics Comparison

MetricFeedzaiPagaya
💰Valuation
$2B
N/A
📈Total Funding
$352M
$600MWINS
📅Founded
2011
2016WINS
🚀Stage
Series D
Public
👥Employees
600
500-1000
🌍Country
Portugal
Israel
🏷️Category
AI Finance
AI Finance
Awaira Score
70
70

Key Differences

📈

Funding gap: Pagaya has raised $248M more ($600M vs $352M)

📅

Market experience: Feedzai has 5 years more (founded 2011 vs 2016)

🚀

Growth stage: Feedzai is at Series D vs Pagaya at Public

👥

Team size: Feedzai has 600 employees vs Pagaya's 500-1000

🌍

Market base: 🇵🇹 Feedzai (Portugal) vs 🇮🇱 Pagaya (Israel)

⚔️

Direct competitors: Both operate in the AI Finance market segment

Which Should You Choose?

Use these signals to make the right call

Feedzai logo

Choose Feedzai if…

Top Pick
  • More established by valuation ($2B)
  • More market experience — founded in 2011
  • Portugal-based for regional compliance or proximity
  • Feedzai is a Portuguese AI company founded in 2011 that specializes in financial crime prevention and risk management solutions
Pagaya logo

Choose Pagaya if…

  • Stronger investor backing — raised $600M
  • 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

Funding History

Feedzai raised $352M across 4 rounds. Pagaya raised $600M across 1 round.

Feedzai

Series D

Mar 2021

$200M

Series C

Jan 2018

$50M

Series B

Jan 2015

$30M

Series A

Jan 2013

$2.4M

Pagaya

Series D

Jul 2021

Lead: Oak HC/FT

$102M

Investor Comparison

No shared investors detected between these two companies.

Unique to Feedzai

BenchmarkGreycroft

Unique to Pagaya

Oak HC/FTGICAflac Global Ventures

Users Also Compare

FAQ — Feedzai vs Pagaya

Is Feedzai bigger than Pagaya?
Feedzai has a disclosed valuation of $2B, while Pagaya's valuation is not publicly available, making a direct size comparison difficult. Feedzai employs 600 people.
Which company raised more funding — Feedzai or Pagaya?
Pagaya has raised more in total funding at $600M, compared to Feedzai's $352M — a gap of $248M. Combined, the two companies have completed 5 known funding rounds.
Which company has a higher Awaira Score?
It's a dead heat — both Feedzai and Pagaya sit at 70/100 on the Awaira Score. That score factors in valuation, funding, stage, headcount, and category.
Who founded Feedzai vs Pagaya?
Feedzai was founded by Nuno Sebastiao in 2011. Pagaya was founded by Gal Krubiner in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Feedzai do vs Pagaya?
Feedzai: Feedzai is a Portuguese AI company founded in 2011 that specializes in financial crime prevention and risk management solutions. The company develops machine learning and artificial intelligence platforms designed to detect and prevent fraud, money laundering, and other financial crimes across banking, payments, and fintech sectors. Feedzai's core technology utilizes advanced analytics and behavioral modeling to identify suspicious transactions and patterns in real-time, enabling financial institutions to mitigate risk while reducing false positives that impact customer experience. The platform serves global financial institutions, including major banks and payment processors. Feedzai operates in the competitive financial crime technology space, competing against established vendors and newer fintech startups. The company's approach combines graph-based analytics, machine learning, and domain expertise in financial crime detection. Its solution suite covers fraud prevention, anti-money laundering (AML), and sanctions screening, addressing regulatory compliance requirements across multiple jurisdictions. Feedzai has achieved a $2.0 billion valuation following Series D funding rounds totaling $277 million. The company operates globally with significant market presence in Europe, North America, and Asia-Pacific regions. Its growth trajectory reflects increasing demand for AI-driven financial crime prevention as regulatory pressures intensify and transaction volumes expand. The company remains privately held and continues expanding its product capabilities and customer base. Feedzai combines behavioral AI with financial crime expertise to serve the compliance-critical banking sector at scale. 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.
Which company was founded first?
Feedzai got there first, launching in 2011 — that's 5 years of extra runway. Pagaya didn't arrive until 2016. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.
Which company has more employees?
Feedzai has about 600 employees; Pagaya has about 500-1000. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are Feedzai and Pagaya competitors?
Yes — they're direct rivals. Both Feedzai and Pagaya compete in AI Finance, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.

Bottom Line

It's close. Both Feedzai and Pagaya are strong players, and picking a winner depends on what you're looking for. Check each profile for the full picture.

Who Should You Watch?

This one's genuinely too close to call. Both companies are competitive, and the winner will likely come down to execution over the next 12-18 months. Follow both profiles on Awaira to track funding rounds, team changes, and score updates.

Deep Dive