Alex Svanevik and the value of a well-placed comma

Before Alex Svanevik built a business around making blockchain transactions readable, a bank client gave him a lesson in punctuation. As a young consultant, he had sent over a spreadsheet with figures running together in long, unbroken strings. The client called him over and demonstrated the number-formatting menu. Commas appeared. Currency symbols arrived. The numbers could finally be read without a small expedition through the digits.

Years later, Svanevik remembered the intensity of that feedback and the lasting effect on his standards. “Clear is kind,” he wrote. It is a modest anecdote for a crypto founder to preserve: a client, a spreadsheet and the discovery that a perfectly correct number can still be a nuisance. The lesson was small enough to apply the same afternoon and useful enough to remember years later.

That distinction offers a useful way into his career. Svanevik is the Norwegian co-founder and CEO of Nansen, based in Singapore. His work concerns information that is technically visible but difficult to use. The blockchain supplies the digits. Someone still has to make them mean something.

A lunchtime detour to Hong Kong

His education began well before the current enthusiasm for artificial intelligence. He earned a bachelor’s degree in cognitive science at the University of Bergen and a master’s in artificial intelligence at the University of Edinburgh. At Edinburgh, where he studied in 2009 and 2010, he graduated with distinction and received an Informatics Prize for his master’s project. The subjects put questions about minds and machines in the same academic neighbourhood.

Consulting and data science followed. His career took him through Schibsted, the Scandinavian media and marketplaces group, and to Barcelona. The route into crypto was less ceremonial. In the summer of 2017, engineers at work were talking about Ethereum over lunch. Their enthusiasm made him curious. Within months, he had left his data science management job and moved to Hong Kong to work in the industry.

Ethereum appealed to the part of him trained to think about computation. Smart contracts suggested a wider field of applications than he had associated with Bitcoin. At CoinFi, he became chief data scientist, entering crypto around the end of the initial coin offering boom. His first encounter with the sector’s economics was hardly a gentle induction: the startup he joined ran out of money.

He later worked on analytics for 0x and Aragon. The appeal was partly intellectual and partly practical. Data and blockchains formed an intersection in which relatively few people had deep experience. He already knew one half. Learning the other gave him somewhere specific to stand. A career change can look reckless from a distance and rather methodical when you inspect the qualifications.

The question behind the address

In 2019, Svanevik began building Nansen with Evgeny Medvedev and Lars Bakke Krogvig. Medvedev had created Blockchain ETL, an open-source project for extracting blockchain data. The founders brought different pieces of the machinery: leadership, data extraction and data engineering. The recurring question around them was simple enough. Who, or what, was behind the wallets making these transactions?

A public blockchain makes activity inspectable. An address, however, does not arrive with a helpful introduction. An investor looking through transfers can see movement while struggling to understand whether an exchange, a trading firm or another kind of participant is involved. Nansen’s business was to add context through wallet labels, categories and tools for following activity.

Svanevik’s public coding history shows how naturally he approached this world as something to build with. His GitHub includes token recommendations based on Ethereum transactions and a tool examining the DAI-USDC order book. Another project, HKDai, explored a Hong Kong dollar denomination backed by Dai. These are specific experiments, the sort that leave repositories rather than merely opinions.

His writing from the same period has a similarly practical texture. He published instructions for bringing Ethereum smart contracts into BigQuery, examined empty Ethereum blocks and described keeping a learning journal in Notion. In that archive, crypto analysis sits beside notes about learning and software. Curiosity had a filing system.

A paying customer on day one

Nansen’s product went live in April 2020 and found a paying customer on its first day. The first month brought a few hundred dollars in revenue. That is an unusually useful opening figure: small enough to make the beginning tangible. Somebody had moved beyond liking the idea and agreed to pay for it.

By October, Nansen had announced a $1.2 million seed round led by Mechanism Capital and Skyfall Ventures. It sold subscriptions and offered institutional customers access to a research desk. The early team already worked across cities including Bangkok, Barcelona, Hamburg, Hong Kong, Los Angeles, Oslo and Singapore. The company’s geography was dispersed from the outset.

A $12 million Series A led by Andreessen Horowitz followed in June 2021. Nansen reported that revenue had risen more than 1,000 times over its first year and that the team had grown from three co-founders to 30 people. The starting base was tiny, which matters when reading the multiplier. Still, customers were arriving fast enough to change the scale of the job.

In December 2021, Accel led a $75 million Series B, with investors including GIC, a16z and Tiger Global participating. Nansen planned more hiring, broader blockchain coverage and products for both individual and institutional users. The analyst had become an employer. A dataset can grow by adding rows; a company has rather more complicated formatting requirements.

When the market marked the homework

The next cycle made those requirements painfully concrete. Nansen announced a 30 percent staff reduction in May 2023. The company had expanded rapidly, and the crypto downturn proved more severe than Svanevik had expected. The collapses of Terra and FTX formed part of the backdrop to a narrower, more disciplined operation.

“We hired too fast,” he said later that year. Nansen paused Connect, a product that allowed users to message other wallets, and concentrated on fewer priorities. The admission belongs in his story alongside the funding rounds. He was running a company that helped others interpret activity, while having to revise his own reading of the market.

“We hired too fast.”Alex Svanevik, September 2023

For a business selling information, a difficult market presents an awkward combination. Customers may have more urgent questions and less money to spend answering them. Svanevik continued to argue that downturns could produce useful new products. His own company had begun in 2019, when building in crypto carried less social glamour than it would two years later.

That history gives his optimism some texture. He has experienced a startup running out of cash, a subscription product finding its first buyer, venture capital arriving and a workforce being reduced. Each stage asks something different of the founder. Conviction is easiest to admire before the invoices arrive; operating a business gives it regular examinations.

The penguin in the analytical room

Svanevik’s interests extend beyond Nansen. Public biographies identify him as an early DAO member of Lido Finance and PleasrDAO. A DAO is a community organised around shared decisions and assets, with governance often carried out through tokens. These affiliations place him inside the networks whose activity his company helps people understand.

He is also an adviser to Pudgy Penguins, an NFT brand whose cartoon birds occupy a conspicuous corner of his public identity. In a 2024 conversation, he explained its appeal through four Cs: cuteness, community, content and its CEO, Luca Netz. For someone whose work often involves rows of transactions, it is a pleasantly sociable framework.

The penguin helps explain a feature of his outlook that spreadsheets alone cannot capture. He pays attention to people gathering around products, their shared references and the operator giving that energy direction. A community’s enthusiasm is observable, even when its appeal refuses to fit neatly into a valuation model. Sometimes a bird gets there before the spreadsheet.

From reading the market to acting in it

By September 2025, Nansen had launched an AI chatbot drawing on its crypto data. The interface offered a different way to investigate a market: ask a question rather than find the right dashboard. The company was also testing agents that could eventually make trades. The distance between looking at information and doing something with it was shrinking.

In July 2026, Svanevik described a broader ambition: trading across asset classes on chain through agents. He said Nansen had processed a little over $500 million in trading volume after adding execution. He also expected trading agents to outnumber human traders within roughly two years. That remains his prediction, rather than an accomplished fact.

It is a consequential change for the person who built the company around interpretation. A label helps a human decide what to examine. An agent may turn an interpretation into an action. The standard for clear context becomes more demanding when the next step involves moving money. Svanevik has discussed the danger of contaminated inputs steering agents, a practical complication inside the ambition.

His academic background now meets his operating work more directly. Artificial intelligence, data infrastructure and blockchains are the three subjects converging in Nansen’s current direction. The lunchtime detour has led him back toward the subject he studied in Edinburgh, though with customers and a company attached.

A team, a cake, another place to build

In September 2026, Svanevik led the opening of Nansen’s office in Thimphu, Bhutan. The company had recruited four Bhutanese employees and launched an AI talent programme with three interns. Its collaboration with Gelephu Mindfulness City included establishing a local operational presence. His stated hope was to become a desirable private-sector employer in Bhutan.

The photograph from the opening has bouquets, ceremonial scarves and a cake on the table. It is an agreeable counterweight to the language of autonomous agents. A company expanding into a new country still involves people meeting in a room, welcoming colleagues and figuring out where the next hires will come from.

Svanevik’s career has repeatedly returned to the work between raw possibility and practical use: readable figures, identifiable activity, a product someone buys, a team that can deliver it. His next wager asks how much of that work a machine can carry out. The old spreadsheet lesson survives the change in tools. Clarity has consequences, especially when someone is about to act on what they see.