Breaking pattern Six startups · two exits · one public listing · a career spent deleting manual work

Person / Founder / Fintech

Kate Hiscox Keeps Turning Other People’s Spreadsheets Into Companies

Before Sivo made debt programmable, Kate Hiscox spent two decades learning an unfashionable founder skill: paying attention to the ugly manual work everyone else accepts.

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The first clue arrived in a box of lights. In 2004, when online shopping still required a short argument with anyone who distrusted the “World Wide Web,” Kate Hiscox opened an e-commerce store for home lighting. The difficult part was not persuading people to buy a lamp through a screen. It was persuading thousands of lamps to exist coherently inside a database.

Suppliers sent product names, descriptions, inventory and prices in spreadsheets and printed catalogues. The formats disagreed with one another, as spreadsheets tend to do when left unsupervised. Hiscox’s team expected to launch. Instead, it spent eight months loading roughly 10,000 products. The future of retail had arrived carrying paperwork.

She sold that business, Lunawarehouse.com, for a reported $1.2 million. Then she kept building. There was TinyMassive, which became publicly traded in Canada; Spudaroo, a crowdsourcing platform for business and legal content that was acquired; and Bablingo, aimed at improving how news and events were distributed through semantic search. By 2014, she was on company number six by her own count. The sixth was not Sivo. It was Venzee, and it began when the lamps came back to haunt her.

A mistake with excellent timing

In 2013, Hiscox started another e-commerce venture. She assumed a decade of software progress had surely cured the supplier-data mess. It had not. Retailers and manufacturers were still passing around mismatched files, manually reformatting the same information for different sales channels, and refunding customers when inventory records fell behind reality.

Hiscox had now made the same assumption twice, which is a discouraging personal statistic and a promising market signal. This time she researched before building. She called people across her e-commerce network in Europe, Asia and Latin America and asked what they used, what arrived from suppliers, and what happened to the spreadsheets. Their answers became Venzee: a cloud platform that translated product data into the formats retailers and marketplaces could use.

“Have customers literally in place before you even write a line of code.”Kate Hiscox on what two e-commerce launches taught her

The lesson is sharper than the usual instruction to talk to customers. Hiscox had been a customer. She knew the pain intimately. She still checked whether other people felt it, how they described it, and whether they would adopt a solution. Experience provided the suspicion. Research provided permission.

Venzee became a translator between suppliers and retailers. Its software cleaned and transformed product information for systems such as Amazon, Walmart and Shopify. Later, the company applied the same data-transformation logic to blockchain systems. Immutable records, Hiscox observed, are not terribly useful when the information entering them is a mess.

In January 2018, she stood with TMX executives to open the market after Venzee began trading on the TSX Venture Exchange. A problem she had first encountered while copying lamp specifications had become public-company software. The ceremony supplied a bell. The real milestone was that no one had to retype the bell’s product description.

The same machine, filled with money

Sivo appears to be a different species of company. Co-founded by Hiscox and Daniela Conejo Rico in 2020, it provides debt as a service. Fintechs, neobanks and gig platforms need capital behind the lending products they offer customers. Arranging that capital traditionally means long diligence, bespoke legal work, negotiations and reporting systems. Small facilities can demand nearly as much institutional effort as enormous ones.

Hiscox saw another translation problem. On one side were institutions with money to deploy. On the other were companies with lending products and data. Sivo would qualify originators, help structure facilities, monitor performance and report back to capital providers. The line could begin secured, then expand as performance data built confidence. Her shorthand was memorable: Stripe for debt.

$4BDemand reported in roughly the first 90 days
$1.5BSigned term sheets reported in 2021
600+Originators and lenders in the early onboarding pipeline

Sivo entered Y Combinator’s Winter 2021 batch. Its team brought experience from risk, debt and enterprise software, including work at Goldman Sachs, Revolut, NASA, McKinsey and Citigroup. A reported $5 million seed investment valued the young company at $100 million post-money. Within roughly three months of launch, Sivo said it had received about $4 billion in demand and signed $1.5 billion in term sheets.

Those are historical company figures, snapshots of a launch rather than permanent vital signs. What matters to the Hiscox story is the range. She said Sivo’s smallest line at the time was $250,000; another term sheet covered half a billion dollars. Packaging multiple fintechs under institutional parameters gave capital providers a portfolio of opportunities too small to justify one-by-one negotiations.

Podcast artwork showing Kate Hiscox and Ravi Sattuluri for episode 68 of PitchIt
Pitch, please. Hiscox and Ravi Sattuluri joined the PitchIt podcast after Sivo won the show’s 2022 competition, turning debt capital into unusually lively audio.

In 2022, as Sivo shifted from building and launching toward scaling, Hiscox moved into a chief growth role and Ravi Sattuluri became CEO. She described the decision as a responsibility to investors and employees: different stages demanded different operators. Current public profiles again list her as Sivo’s co-founder and CEO. The title changed; the founder’s subject remained capital, risk and the removal of delay.

The product vocabulary kept growing around that subject. Sivo described revolving, interest-only facilities whose available leverage could increase as a lender supplied performance data. It introduced Quantum as a marketplace for trading loans, giving originators a way to unlock capital and recognize revenue earlier. The mechanics vary, but the ambition is consistent: replace the dramatic, occasional capital negotiation with a quieter system that reacts to evidence.

That evidence matters because lending infrastructure lives where software confidence meets financial caution. A cheerful interface cannot redeem a poor risk model. A clever model cannot persuade an institution if reporting arrives late or in the wrong form. Hiscox’s old obsession with translation is useful here. Capital providers and originators do not merely need an introduction. They need shared definitions, timely data and rules both sides can inspect.

The anti-mystique of repetition

Hiscox calls herself a serial entrepreneur without making serial entrepreneurship sound mystical. She likes meeting people and new challenges. She has also supplied a domestic image of the habit: she tells herself each startup will be the last; her wife is relieved; then an idea arrives in the middle of the night and relief departs.

There is mischief elsewhere in the record. Her school activities are listed as snowball throwing, lots of sport and leg warmers. She can juggle and say the alphabet backwards. She says she can do the worm, though her wife apparently serves as an independent auditor. She prefers feedback in person and constructive. Asked which animal she would be, she chose a bird. The woman trying to make institutional debt move faster would, given the option, simply leave the ground.

Her inspirations are an equally mixed committee: Nancy Pelosi, Dwayne Johnson and Robert Iger. Politics, professional wrestling and entertainment management do not form an obvious syllabus. They do suggest that Hiscox notices people who operate on large stages, survive scrutiny and understand the force of a well-managed public story. Her own work is largely backstage. The systems are meant to make somebody else’s product possible.

The jokes soften a demanding operating philosophy. Hiscox defines success as a return on her investment or her investors’ money. She has spoken plainly about the one venture that did not deliver that return, and just as plainly about mistakes made during the others. Her useful stories are not polished into inevitability. They retain the months lost to data entry and the embarrassing realization that she had failed to check the same assumption twice.

2004

Launches Lunawarehouse.com and meets the supplier spreadsheet problem.

2014

Co-founds Venzee after validating that product-data work remains painfully manual.

2018

Venzee commences trading on the TSX Venture Exchange.

2020

Co-founds Sivo with Daniela Conejo Rico.

2021

Sivo joins YC W21 and launches debt as a service.

Look for the accepted inconvenience

The founder lesson to steal is not persistence in the abstract. Persistence is cheap advice because it leaves out what deserves persistence. Hiscox’s career suggests a more selective method: look for an expensive manual process; experience it closely enough to understand its absurdities; verify that the pain travels beyond your desk; then build the connective layer.

At Venzee, the layer sat between a supplier’s spreadsheet and a retailer’s database. At Sivo, it sits between institutional capital and a fintech’s loan book. Both businesses care about clean information, transparent rules and fewer bespoke conversations. Both turn a relationship maintained by documents into a system maintained by software.

Hiscox’s newer public writing points toward predictable payment flows: gig platforms paying drivers, processors settling balances, creator platforms distributing earnings. Her argument is that capital can be embedded where repayment is connected to those structured flows, reducing dependence on discretionary borrower behavior. It is another version of the same question she has asked for two decades: where does information already move, and what becomes possible if the infrastructure can finally keep up?

Her biography makes a neat case for operational scar tissue. The first encounter with a bad process is irritation. The second is evidence. The third, if you are paying attention, ought to be software. Hiscox has spent her career paying attention.