We are building an asset backed credit card backed by your home equity (check out aven.com). Our team is a combination of technology (Microsoft, Facebook, Square), and finance (Goldman, Affirm, SoFi, LendingClub) executives. We are a Series B company. We are backed by Vinod Khosla, Keith Rabois, and Max Levchin. They are the most elite fintech backers in the valley. I would love to connect and see if there are opportunities to work together. Our work involves building the world’s first completely autonomous asset-securing process, world-class risk & underwriting models, and a beautifully smooth product experience for consumers to apply, activate, and manage their credit cards.
We are funded by Vinod Khosla (KV), Keith Rabois (Paypal, Square, OpenDoor) @ Founders Fund, Max Levchin (Affirm, Paypal), Mike Vernal @ Sequoia, Elad Gil (Color), Avichal Garg (Electric Capital) and Raymond Tonsing (Caffeinated Capital)
Our founding/exec team is the who's who of technology and finance world. Our founders include 1. CEO (ex Product Director Facebook, Microsoft) 2. CTO (ex Founder of Autonomous Vehicles Company Scotty Labs, ex Zenefits and Microsoft Azure) 3. Chief Risk Officer (JPL, Morgan Stanley, Goldman Sachs, Earnest) 4. Head of Design (First Designer at Square and inventor of Cash App)
We have a unique business idea powered by powerful technology that has already gotten the backing of the best in the fintech world.
Current engineering team is 5 IC engineers, CEO, CTO, COO, Head of Design, Chief Risk Officer. Everyone on the team codes. We are all current or former engineers including our CEO & COO.
The key of our system is using current advances in Machine Learning incl. Computer Vision and better risk and prediction models to build a platform for securing any asset. This allows us to offer collateralized debt and credit cards at a rate 2x cheaper than anyone else.
Risk modeling. We are building an in house asset and consumer risk processing system that looks at signals from bank accounts, credit bureaus and other public and private data sources to continuously score a person and associated assets. This is used to determine the price (interest rate) and credit limits offered to a person in real time as they continue to use the available credit. As things change about their behavior or the pricing of the asset, the price and limits automatically adjust.
Document data extraction and data aggregation. We use computer vision to extract information from uploaded documents like licenses, insurances documents, etc. We also use data from multiple sources to figure out asset prices and consumer behavior. Its a very interesting data aggregation and modeling challenge.
Complex Financial Workflows. We build complex financial workflows as it comes to offering credit lines and recovering payments from people.
We are a consumer company and are engineering and experimentation driven. We believe in moving with extremely high velocity. We believe that high velocity execution with reasonable strategy beats great strategy with slow execution any day of the week.
Cultural Values: Depth and rigor of thought. Speed of execution with reasonable strategy. Done is better than perfect.
Most of our engineers are in the office from 10 AM until 5 or 6 PM, but we don't have any hard rules around this. If you need a work-from-home day, feel free to take one! We care about productivity, not hours.
We provide full medical, dental and vision coverage.
Interested in this company?
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