Two Dots
AI underwriting automation and fraud prevention
We're building an income and employment verification service for large residential property managers. From there, our mission is to remake consumer underwriting.
Jobs at Two Dots
Active Founders
Henson Orser
Started my career at Goldman in NYC. After nearly 4 years, made the jump to the startup world as the 4th employee at a B2B Proptech company where I ran sales to property managers and had a front row seat to how broken consumer underwriting is. Now building Two Dots, an income verification platform and eventual fairer gateway to worlds credit & housing markets.
Max Ponte
Max started his career as one of the first engineers on the income verification team at Blend, spending years working on this problem before making the jump to work on search at Google. After experiencing both the excitement of being early at a rapidly scaling startup (Blend is now public), and the mega-scale of search at Google, we decided we were the team to tackle the gigantic problem of payroll data.
Company Launches
The Problem
Traditionally when a consumer wants to borrow money, take out a mortgage, or rent an apartment, they need to provide the underwriter with a bunch of financial documents to prove they can afford the product. This is a time consuming & fraud ridden process!
Our Solution
To solve this problem we’re first automating the process of verifying income and employment data for large property managers. Over time we plan to integrate with many data sources so payroll data can be seamlessly used to make better & faster underwriting decisions by any financial institution.
Who We Are
I started my career working at Goldman for 4 years, before making the jump to startup-land as the 4th employee at a proptech startup, where we processed online rental applications. Seeing up close how broken the income verification process is, and how broken the overall way underwriters decide who gets access to housing (credit scores), lead us to realize there’s a better way.
Max started his career as one of the first engineers on the income verification team at Blend, spending years working on this problem before making the jump to work on search at Google. After experiencing both the excitement of being early at a rapidly scaling startup (Blend is now public), and the mega-scale of search at Google, Max and I decided we were the team to tackle the broken consumer underwriting system.
How You Can Help
Our biggest focus today is getting more customers, so if you know anyone managing thousands of rental properties we would love an intro!
Hear from the founders
How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)
Max and I have known each other since we were best friends at a middle school for gifted children in the Bay Area.After a four-year stint in the Foreign Exchange trading group covering Hedge Funds at Goldman, I spent two years as the fourth employee selling software to property managers. That experience taught me that every property manager’s biggest problem in their business was leasing, and no one had solved it. I called my old friend Max, who was working on the search team at Google, and asked him for advice on solving income verification for rentals. He responded that he had spent years working on this problem in the Mortgage space for Blend (now public), and that the transformers AI revolution finally made an end-to-end solution possible.Max resigned from Google a few months later, and we were working on Two Dots. Still hard to believe the serendipity sometimes.
Selected answers from Two Dots's original YC application for the S22 Batch
Describe what your company does in 50 characters or less.
we verify income & employment for underwriters