Founded a decade ago, Lendbuzz specializes in serving borrowers with limited credit history by using alternative data and machine learning to assess risk.
Founded a decade ago, Lendbuzz specializes in serving borrowers with limited credit history by using alternative data and machine learning to assess risk. Its lending operations are funded through asset-backed securitizations, warehouse facilities from traditional banks, and portfolio sales to institutional investors—particularly insurance firms seeking yield in a higher-rate environment.
The move comes amid a wave of fintech listings. Both Chime and Klarna have gone public in the last three months, with mixed early performances: Chime trading below its debut price while Klarna is modestly above. Lendbuzz will test whether investor appetite extends to niche, data-driven lenders in the fintech ecosystem.
Goldman Sachs and JPMorgan are leading the deal, though none of the parties have publicly commented.
If successful, the offering could spotlight how alternative underwriting models and structured financing vehicles are maturing from venture-backed experiments into public-market stories.
TechEchelon Staff bylines are produced collectively by the newsroom for short, breaking, and wire-style coverage. Longer-form reporting is published under the responsible reporter's name.
More from the Staff →SK Hynix fell more than 10% and Samsung dropped 7.1% as Asian chip stocks extended a Wall Street sell-off driven by fears of further Federal Reserve rate hikes and mounting concerns over the cost of financing AI infrastructure projects.
BlackRock CEO Larry Fink warned Wednesday that any moratorium on data center construction in the United States would trigger a recession, citing the central role AI infrastructure investment now plays in the broader economy.
Semiconductor stocks fell for a sixth straight session as AI bubble fears and rising oil prices dragged on markets, even as analysts and commentators point to strong underlying chip demand heading into a critical stretch of earnings and inflation data.
Written for readers who already know the basics — markets, AI, and the policy decisions that shape both.