Bernstein analysts view Figure Technology Solutions as a standout in the evolving world of blockchain-based markets, noting that the company’s first-quarter results underscore a deliberate pivot from a traditional fintech model toward a blockchain-native capital markets platform. Figure reported May 11 that its top-line and EBITDA beat Wall Street expectations, as the company continues to tokenize real-world credit assets for trading, funding, and financing on-chain.
As Figure builds out a full blockchain-native ecosystem for credit, Bernstein contends the company could surprise investors with how its approach differs from balance-sheet fintech lenders. In a May 15 client note, the team highlighted that Figure’s live blockchain data might deliver a real-time read on blockchain loan activity, potentially signaling a stronger Q2 than the market currently anticipates.
Figure has been pitching Wall Street and the DeFi world on a broader thesis: it is not merely a fast-growing home equity line of credit lender wrapped in crypto branding, but a comprehensive blockchain capital markets platform capable of handling tokenized loans and, eventually, tokenized equity.
Key takeaways
- Figure’s Q1 results beat revenue and EBITDA expectations, reinforcing its strategy to tokenize real-world credit assets for on-chain markets.
- Bernstein projects that Figure’s on-chain data could make FIGR a live barometer of blockchain loan volumes, potentially driving a stronger Q2 than traditional metrics alone would imply.
- Management aims to create a complete on-chain marketplace for real-world assets, with Forge acting as the mechanism to convert whole loans into liquid, fractional participation units.
- The broader tokenized-credit landscape remains small today, but the potential market, as outlined by Bernstein, runs in the trillions of dollars, underscoring a large long-term growth horizon for platforms like Figure.
Figure’s blueprint: from loans to a blockchain-driven marketplace
During Figure’s May 12 earnings call, executive chairman and co-founder Mike Cagney explained the practical challenge of bringing real-world assets (RWAs) to DeFi. He noted that DeFi is asset-based lending by design: collateral backing loans must be liquid for on-chain trading, but when a loan is a whole asset, questions arise about how lenders would take a fractional interest and where such positions could be sold. Figure’s Forge platform is designed to address this by converting whole loans into small, dollar-denominated liquid participation units, enabling more flexible on-chain handling of diversified portfolios.
Bernstein’s takeaway is that Figure could evolve into a full-fledged marketplace where real-world assets—both loans and, in time, equities—help underpin borrowing and lending liquidity. In that view, FIGR would essentially capture a fee from the broader blockchain economy as it scales its asset-backed financing activities across multiple asset classes.
Operational edge: AI, data, and the underwriting advantage
Figure’s leadership has long argued that the combination of AI and on-chain data infrastructure offers a practical path to automate underwriting, compliance, and loan verification for RWAs. CEO Michael Tannenbaum stressed in the May 12 call that AI serves as the brain, while blockchain functions as the nervous system—providing structured data to streamline processes that are traditionally manual or siloed. This data-centric approach is intended to reduce friction in onboarding real-world assets to blockchain-native financing rails and to improve risk assessment as tokenization expands beyond core offerings like autos loans into broader credit categories.
As institutional investors remain cautious about blockchain-for-finance narratives, the management emphasis on operational leverage—data-driven underwriting, automated verification, and scalable tokenization—appeals to stakeholders seeking tangible capabilities that bridge traditional finance and DeFi liquidity.
Tokenized credit: a market still in early stages but with clear potential
In its research, Bernstein highlighted an expansive addressable market for on-chain credit origination that could span multiple loan categories, including mortgages, auto loans, home equity lines of credit (HELOCs), and small-business lending. The firm has put a rough estimate of up to $4 trillion in annual origination within reach as tokenization and on-chain settlement mature across asset classes.
By comparison, current on-chain tokenized credit activity remains relatively modest. Industry data tracked by RWA.xyz places the current tokenized credit market at about $5.14 billion, illustrating the gap between today’s adoption and the scale Bernstein envisions for the long term. The market’s evolution will likely hinge on how quickly tokenized assets can reliably bridging traditional credit with DeFi liquidity, as well as regulatory clarity that accelerates institutional participation.
Figure has already been expanding beyond its core HELOC-style lending, venturing into auto loans via the Hastra DeFi protocol. Hastra, launched by the Provenance Blockchain Foundation, aims to tokenize auto loan yields and other credit instruments, with Hastra recently extending its reach onto the Morpho protocol on Ethereum to widen access to DeFi liquidity. This trajectory illustrates how tokenized credit products can plug into broader blockchain markets and liquidity pools.
Beyond Figure, other blockchain projects are actively experimenting with on-chain credit. Centrifuge, for example, has broadened its DeFi platform to include tokenized credit and treasury products on new networks, seeking to connect institutional-grade assets with DeFi liquidity. The overall trajectory suggests a developing ecosystem where tokenized RWAs, including loans and potentially equities, could play a growing role in on-chain funding and risk transfer.
For readers tracking the regulatory and adoption curve, these developments come amid a wider conversation about how much of traditional credit can be credibly and efficiently tokenized, and what kind of data and infrastructure are required to scale such markets safely.
Related coverage notes that tokenized RWAs are an area of increasing interest as markets seek to align innovation with risk controls, transparency, and compliance. The broader crypto and DeFi community watches how players like Figure demonstrate the practical steps of moving real-world credit onto blockchain rails, including how data-driven underwriting and automated verification can support scalable, compliant issuance and trading.
As this space evolves, the key questions for investors and builders remain: Will live on-chain data translate into meaningful price signals for tokenized assets? Can platforms harmonize the needs of traditional financial participants with DeFi liquidity, without compromising risk management? And how quickly will regulatory clarity unlock broader institutional participation?
Next up for Figure will be monitoring Q2 performance, along with continued progress on Forge’s loan-participation model and any expansion into additional asset classes. The convergence of AI-enabled underwriting and blockchain-native data infrastructure could redefine how real-world credit moves through digital markets, but the pace and direction will depend on data quality, risk controls, and the evolving regulatory backdrop.