How TomoCredit built a credit system for immigrants from scratch

Executive overview

Immigrants and international students arriving in the US face a structural credit trap: no credit history means no approvals, not because they are risky borrowers but because the system never gave them a starting point. Kristy Kim founded TomoCredit to replace FICO-based approvals with a bank-data model that scores affordability, sustainability, and willingness to pay.

The result: 10,000 sign-ups on launch day with zero paid marketing, growing to 4 million customers.

Ignorance of how hard it would be was a feature — clarity of mission drove execution where industry knowledge would have created hesitation.

The credit score trap for immigrants

• FICO is heavily weighted by age of credit history — a factor immigrants start with at zero
• An immigrant at 29 has the same credit age as a teenager who just opened their first card
• Most immigrants don't know they need to start building credit early — the disadvantage is structural, not behavioral
• Banks treat no-credit-score applicants as high-risk by default; they will never be first movers without proof

How TomoCredit's underwriting works

• Customers connect bank accounts (checking, brokerage, 401k) — no credit score required
• The Tomo score analyzes three dimensions: affordability, sustainability, willingness to pay
• Affordability alone is insufficient — sustainable, stable income patterns over 1–2 years matter more than a high current balance
• Willingness to pay is the hardest to model; customers with strong cash flow still default if unwilling
• No raw customer data is shared with lending partners — only aggregated signals used to train the model
• The underwriting team was the highest-paid team: senior hires from Amex, Citi, and Wells Fargo who had seen full market cycles

Early execution and growth

• Founding insight came from lived experience: Kim and her co-founders all faced visa and credit rejections
• First moves were industry coffee meetings — no banking background, just persistence with contacts at Wells Fargo, Amex, and Barclays
• Barclays invested early; that credibility unlocked access to more bank relationships
• Wanted to be an API provider to banks — banks refused, so TomoCredit had to do the lending itself
• Launched with a basic website and two engineers; initial product-market fit held from 2019 to present
• Grew 400% during COVID, 200% the following year; no paid marketing until year five

Building a risk-first fintech

• First-mover innovation requires balancing speed with proven risk management frameworks
• Senior risk hires were critical — models must hold across market cycles, not just favorable conditions
• Portfolio data matures over time: four-year trended data is now a competitive moat
• Bringing more people into the credit system is net positive — defaults generate data that improves models for all lenders

Founder advice

• Turn weakness into a superpower: stop trying to fix what you lack, find who is great at it
• Hire for your gaps; let everyone operate in their zone of strength
• Mission clarity ("no credit score, no problem") drove every product decision before the technical answer was known