Pagaya vs Sardine AI

Sardine AI has a disclosed valuation of $660M, while Pagaya's valuation is not publicly available, making a direct size comparison difficult. Sardine AI employs 150 people.

Pagaya has raised more in total funding at $600M, compared to Sardine AI's $145M — a gap of $455M. Combined, the two companies have completed 4 known funding rounds.

Pagaya leads with an Awaira Score of 70/100, while Sardine AI sits at 63/100. That 7-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Pagaya was founded by Gal Krubiner in 2016. Sardine AI was founded by Soups Ranjan in 2020. Visit each company's profile on Awaira for a full founder biography.

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. Sardine AI: Sardine AI is a fraud detection and prevention platform founded in 2020 that uses artificial intelligence and machine learning to identify and mitigate financial fraud in real time. The company operates in the AI Finance category, providing risk intelligence solutions primarily for financial services, fintech, and payment companies. Sardine's core technology applies behavioral biometrics, device intelligence, and transaction analysis to detect fraudulent activities across digital channels including mobile and web platforms. The platform integrates with payment processors and financial institutions to monitor transactions and user behavior patterns, flagging suspicious activities before fraud occurs. Sardine has secured $145M in total funding and achieved a valuation of $700M as of its Series C funding round, indicating significant investor confidence in its market opportunity. The company competes within the crowded fraud prevention landscape against established players and emerging fintech security solutions. Sardine's approach combines rule-based systems with machine learning models to adapt to evolving fraud tactics. The company serves financial institutions, payment networks, and digital banks seeking to reduce fraud losses while maintaining user experience. Notable adoption includes implementations across multiple major financial services organizations, though specific customer counts remain undisclosed. Sardine's growth trajectory reflects broader demand for AI-driven fraud prevention as digital transactions and sophisticated fraud schemes proliferate globally. Sardine AI combines behavioral biometrics with transaction intelligence to deliver real-time fraud detection specifically optimized for fintech and digital banking environments.

Pagaya got there first, launching in 2016 — that's 4 years of extra runway. Sardine AI didn't arrive until 2020. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Pagaya has about 500-1000 employees; Sardine AI has about 150. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Pagaya and Sardine AI compete in AI Finance, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.