Klarna

Magic AI

Klarna

Klarna makes money from merchant fees and consumer interest. Merchants pay Klarna 3-6% of each transaction — they're willing to pay because Klarna increases conversion rates by 30%+ and average order values by 45%.

On "Pay in 4" (interest-free installments), Klarna makes money purely from merchant fees. On longer financing (6-36 months), Klarna charges consumers interest up to 25% APR.

Klarna also earns revenue from its shopping app (affiliate commissions when users discover and buy from merchants), and from its Klarna Card.

Magic AI

Magic is building an AI that works like a software engineer, not a chatbot. The goal is a model you can hand a whole code base and a task, and it writes, reviews, and debugs like a teammate.

Their edge is memory. In 2024 they showed off LTM-2-mini, a model with a 100 million token context window.

To put that in perspective, that is about 10 million lines of code the model can look at in one shot, by far the biggest of any model at the time. The plan is to sell this as an AI coworker to companies that write a lot of software.

As of the 2024 rounds, the product was still not for sale.

Klarna

Sebastian Siemiatkowski, Niklas Adalberth, and Victor Jacobsson were students at the Stockholm School of Economics. In 2005, they entered a startup competition with an idea: let people buy things online and pay later.

At the time, online shopping was still new and most people were terrified of entering their credit card details on the internet. The idea was simple — Klarna would pay the merchant immediately, and the customer would get an invoice with 14-30 days to pay.

The competition judges hated it. The idea was dismissed as financially irresponsible and the team didn't win.

But Siemiatkowski pressed on. Swedish e-commerce was growing fast and merchants were desperate for any way to reduce cart abandonment.

Klarna's "pay after delivery" model was a hit because it shifted the risk — customers could receive the product, try it on, and only pay for what they kept.

The first customers were Swedish e-commerce merchants selling fashion and home goods. Klarna handled the invoicing, fraud detection, and collections.

Merchants saw conversion rates jump because customers were more willing to buy when they didn't have to pay immediately.

Magic AI

Eric Steinberger and Sebastian De Ro started Magic in 2022. Steinberger is an AI researcher who became convinced that the missing piece for a true AI software engineer was memory.

Chatbots forget what you told them a few thousand words ago. He wanted a model that could read your entire code base and remember all of it.

They raised a small seed in 2022, then a $23 million Series A in early 2023 led by Alphabet's growth fund CapitalG. From day one the pitch was not a chatbot.

It was an AI colleague that could handle real engineering work.

Klarna

Klarna grew by being embedded at checkout. The strategy was to sign up the biggest online retailers and become a payment option alongside Visa and PayPal.

Once Klarna was at checkout, consumers discovered it organically. The "Pay in 4" button became ubiquitous across fashion, electronics, and home goods retailers.

The Klarna app became a growth engine beyond checkout. By building a shopping app where users could browse products, discover deals, and track deliveries, Klarna turned from a payment method into a shopping destination.

The app has 35+ million monthly active users who start their shopping journey inside Klarna before even visiting a retailer.

International expansion was aggressive. Starting in Sweden, Klarna rolled out across Europe, then into the US, UK, and Australia.

The US became the biggest growth market — American consumers were especially receptive to Pay in 4 as an alternative to credit cards. By 2023, Klarna had 34 million US users.

Magic AI

Magic's strategy is research first, product later, which is both unusual and expensive. Instead of shipping an app and iterating in public, they raised huge sums to chase a technical breakthrough in model memory.

The headline move was the 100 million token context claim, which got the whole AI world talking. They also cut a deal with Google Cloud in 2024 to build two supercomputers, called Magic-G4 and Magic-G5, using NVIDIA chips, to train bigger models.

Star backers like Eric Schmidt served as validation. The bet is that if the tech is far enough ahead, the product and the customers follow.

Klarna

The valuation collapse was humiliating. Klarna raised at a $46 billion valuation from SoftBank in 2021.

One year later, they raised a down round at $6.7 billion — an 85% haircut. It was the most dramatic valuation drop in fintech history.

Employee stock options were underwater. Siemiatkowski had to lay off 10% of the workforce.

The entire BNPL category went from hot to radioactive in months.

Credit losses are the existential risk. Klarna is lending money to consumers who want to buy things they can't afford to pay for right now.

When the economy slows, defaults rise. Klarna's credit losses ran to roughly $600 million in 2022.

The company had to tighten underwriting significantly and pull back from riskier markets. The tension between growth (approve more loans) and profitability (reject risky borrowers) defines every quarter.

The IPO in 2025 was a comeback story but with caveats. Klarna went public at $15 billion — a major recovery from the $6.7 billion trough but still less than a third of its 2021 peak.

The company finally turned profitable by slashing costs with AI (replacing hundreds of customer service agents with AI chatbots) and tightening credit standards. But investors remain cautious about the BNPL model's long-term sustainability.

Magic AI

Magic has raised close to half a billion dollars and, years in, still has no product the public can buy. That is the whole problem in one sentence.

A giant context window is a great demo, but rivals like Cursor, GitHub Copilot, and Cognition's Devin already have real users and revenue. Magic has to prove that more memory actually makes a smarter engineer, not just a bigger number on a slide.

And it has to do that while burning enormous sums on compute against competitors who are already shipping. The clock and the cash both keep running.

Klarna

Pay in 4 is the signature product — split any purchase into four interest-free payments over six weeks. Pay in 30 lets customers receive the product first and pay within 30 days.

Financing offers longer-term payment plans with interest for larger purchases. The Klarna App is a shopping destination — browse deals, track orders, manage payments, and earn cashback.

The Klarna Card is a physical Visa card that lets users Pay in 4 anywhere. Klarna Creator is a platform for influencers to earn commissions sharing products.

Klarna AI is their customer service chatbot that handles two-thirds of support queries.

Magic AI

The centerpiece is Magic's LTM, or Long-Term Memory, model family. In 2024 they unveiled LTM-2-mini, a model with a 100 million token context window, pitched as the key to an AI that can understand an entire code base at once.

The broader product is an AI software engineer, or coworker, that can write and change code across a whole project. The company also announced Magic-G4 and Magic-G5, two supercomputers built with Google Cloud and NVIDIA to train these models.

Much of it is still research rather than a shipping product.

Klarna

Sequoia Capital, SoftBank, Silver Lake, GIC, Atomico, Commonwealth Bank of Australia, Heartland

Magic AI

Magic's backers are a murderers' row of AI insiders. It started with a $5 million seed round in 2022 and a $23 million Series A in early 2023 led by Alphabet's CapitalG.

Then in February 2024 came a $117 million round led by Nat Friedman and Daniel Gross, two of the most connected investors in AI. The blowout was August 2024.

Magic raised $320 million with checks from former Google CEO Eric Schmidt, CapitalG again, Atlassian, Jane Street, Sequoia, and Elad Gil. That pushed total funding to around $465 million, all for a company still building toward its first sellable product.