The company he actually runs
Nova Credit is, on paper, a consumer reporting agency. What that means in practice is that Misha Esipov spends a lot of his week talking to bank compliance officers about the Fair Credit Reporting Act. The company sits between lenders and two kinds of data those lenders would like to underwrite on but historically couldn't: international credit files from bureaus in twenty-plus countries, and real-time bank-transaction data from the consumer's own account. Nova Credit takes both, normalizes them, wraps them in FCRA compliance, and hands the lender something it can actually decision on. HSBC uses it. American Express uses it. Verizon uses it. The company has raised roughly $159 million across four rounds, most recently a $35 million Series D announced in October 2025 led by Socium Ventures, the venture arm of Cox Enterprises.
The pitch has expanded but not really changed. In 2016 it was: immigrants can't get a credit card. In 2025 it is: anyone whose file is thin, stale, or nonexistent should be underwritable from the data they already generate. Esipov calls the underlying idea the Credit Passport. The newer surface is cash-flow underwriting, which is exactly what it sounds like - underwriting a borrower on the money going in and out of their bank account rather than the tradelines Equifax happens to have on them. The Series D is earmarked for pushing that product into auto and personal loans, categories where the traditional bureau file is the tightest gate.
Where he came from
Esipov was born in the Soviet Union and arrived in the United States in 1990 with his parents, as part of the post-Soviet academic exodus that dropped a generation of physicists, mathematicians and engineers into American graduate schools. He was three. He studied mathematics and finance at NYU, then spent about three years at Goldman Sachs on M&A and corporate finance - the résumé line he most often trims to fit - then joined Apollo Global Management as a private equity investor. Two years at Apollo, then Stanford GSB, then a brief stop at Google, and then Nova Credit, founded with two Stanford classmates the year they graduated.
The founding story that Esipov tells is unusually specific about the moment. At Stanford, his international classmates - people the American immigration system had already vetted at a very high bar - could not get a US credit card. Not because they were risky. Because the American credit system had never seen them before, and had no infrastructure for looking. The founding insight was that the data existed. It just lived on the wrong side of a border.
The chart
Approximate rounds, per public disclosures. Cumulative: ~$159M.
Why the boring part is the whole thing
The interesting technical claim inside Nova Credit is that consumer-permissioned data - the data your bank has on you, that you can hand to a third party if you want to - can be as reliable as a bureau file, provided somebody handles the compliance and the plumbing. The interesting business claim is that the compliance and the plumbing are the moat. Anyone can call a data-aggregation API. Fewer companies want to file adverse-action notices, run permissible-purpose checks, and register as a consumer reporting agency. Esipov has been quietly assembling that side of the company since 2018.
This is the part of the story that does not fit on a slide. It is also the part that made HSBC, American Express and Verizon sign multi-year contracts.
On staying
A striking thing about Esipov is that he is still there. Fintech is a category littered with founders who ran the seed round, took the acquisition, or quietly rolled off after the Series B. Esipov is nine years in, still CEO, and still writing the Series D founder letter himself. When Nova Credit hires a general counsel or a chief customer officer, he still posts the LinkedIn announcement personally, and the announcements have the slightly-too-long, slightly-too-earnest cadence of somebody who cares more about the hire than about the post. The company is roughly ninety-six people and, per the technology fingerprint, runs on the boring good stack - AWS, Datadog, Postgres, Python, React, Node, SageMaker for the ML work. Nothing exotic. Which is very on-brand.
The quotes he keeps giving
Fun facts, filed
Arrived in the US in 1990, at age three, from the Soviet Union.
Started at Goldman Sachs, then Apollo, before starting a YC company.
Took a 48-hour trip to Manila in 2017 to sign an early bureau partnership.
Splits time between Nova Credit's San Francisco HQ and New York.
Company name is a nod to novae - new stars, new arrivals.
Named American Banker Innovator of the Year. Kept the LinkedIn banner subtle.
What he's aiming at
Esipov's public writing - the Medium posts, the Series D reflections, the podcast circuit - keeps returning to a single, patient idea. The credit bureau, as an institution, is a 120-year-old workflow that runs on data lenders volunteer to hand back to a central utility. It is slow, sparse, and structurally blind to anyone who has not yet borrowed. He would like to replace it with something real-time, consumer-permissioned, and portable across borders. He has been saying so for nine years, in more or less the same words, while quietly signing the customers that would have to be present for it to work. The Series D announcement was framed, in his blog post, as “building the credit bureau of the future.” He has been building it the whole time.
The thing worth noticing about Esipov is not that he is the son of Soviet immigrants who built a credit company for immigrants, though that is true and he tells the story well. The thing worth noticing is the flatness of the through-line. He said in 2016 what he is saying in 2025. He raised money on it, hired against it, and then did the work.