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Informed Inc.

Informed Inc.

Turning documents into decisions for banks to automate loan origination

11 - 25 Employees

11 - 25 Engineers

Private Funding

Series A

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Informed (https://informed.iq) helps banks accelerate their digital transformation with turn-key robotic process automation capable of performing real-time income verification, identity verification, residence verification, and insurance verification tasks. Banks use Informed to reduce their manual costs associated with reviewing documents, catch fraud, and cut down on errors when originating loans and opening accounts.

Informed processes 4% of the auto loans originated in the United States and works with 4 of the Top 10 auto lenders in the country. Come help us continue to grow in Auto and expand into Mortgage, Student Lending, and beyond!

Active Roles

Data Scientist San Francisco, CA, United States

Lead Data Engineer San Francisco, CA, United States

Senior Software Engineer - Backend San Francisco, CA, United States

Senior Software Engineer - DevSecOps San Francisco, CA, United States

Why join us?

We have real paying customers who's names you've heard of. Our customers play an active role in guiding our product development. They are multi-billion dollar corporations (some of which are publicly-traded), so we immediately see how our product delivers to them revenue increases that the financial markets reward with meaningful multipliers.
Our founding team is diverse — one founders was the first investor and founding Board member of Salesforce.com. This is her fourth start-up, and she has had over a decade of VC experience! Read more at: https://informed.iq/about
Our engineering team comes out of Google, Salesforce, Redfin, and Zynga. We promote a culture that encourages learning.

Engineering at Informed Inc.

Engineering team and processes

We operate on two-week sprints in the context of broader release milestones. Engineers work together to define the stories, chores, and bugs needing to be fixed to support a release milestone that aligns with our customers' requests. Stories may undergo architectural reviews, otherwise they are prioritized by a product owner and slated for upcoming sprints. We use sprint planning meetings to estimate our workloads and daily stand-ups to stay in sync throughout the sprint. We encourage pull requests with code reviews, and we accept stories throughout our sprints so that we can deploy daily, multiple times a day, provided that our builds pass our automated test suite.

Technical Challenges

Every second, we receive a request from a national bank asking us to analyze driver's licenses, paystubs, bank statements, utility bills, tax returns, etc... to validate application data. Our software has to respond in less than a minute with >98% precision and an incredibly high degree of recall. We deal with endless variation of document types, formats, and scan qualities. Our team of annotators is always expanding our ground truth dataset, enabling us to validate our software's output and re-train our machine learning models to improve performance.

Projects you might work on

Analyzing documents to automate much of the loan funding process.
Use the latest ML tools available for OCR, text classification, and entity extraction to turn documents into data.
Manage a live REST API with an eye for scalability, availability, and quality of service.

Tech stack

Ruby on Rails

React

PostgreSQL

Cloud

Heroku

AWS

Python

CircleCI

Containerization

Docker

OpenCV

TensorFlow

PyTorch

Scikit-Learn

Working at Informed Inc.

We're family. We deeply value collaboration, yet promote bias towards individual action. We all work hard and are vested in each others success. We trust each other and look for individuals who want to take ownership and are great communicators.