EvolutionIQ

Applying the world’s most advanced AI to Claims Fraud Detection

< 10 employees

< 10 engineers

$2m - $5m funding

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DeepFraud provides a fraud detection and investigation platform for the world’s most innovative insurance companies. We’re delivering cognition and reasoning to one of the most data-rich but analytics-poor industries, and looking for people excited to join the founding team of this critically important application of deep learning and AI. Our mission is simple and audacious: Train a large-scale model to understand the world and find bad actors.

We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We’re not looking for employees. We’re looking for partners in work, partners in culture-building, and partners in the future of digital forensics.

Our investors include First Round Capital (seed investors in Uber, Square, Looker), FirstMark (Airbnb, Pinterest, Shopify) and Foundation Capital (Lending Club, CoverWallet, Netflix).

Why join us?

We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We’re not looking for employees. We’re looking for partners in work, partners in culture-building, and partners in the future of digital forensics.
The product is the world’s most sophisticated digital forensics platform. We are the first deep learning startup to get access to full claims files, so we’ve got a huge wealth of extremely rare training data.
Our investors include First Round Capital (seed investors in Uber, Square, Looker), FirstMark (Airbnb, Pinterest, Shopify) and Foundation Capital (Lending Club, CoverWallet, Netflix).
When we succeed, the insurance industry will be faster, fairer and cheaper for everyone (except the fraudsters). To save time, just think of us as a cross between hackers and superheroes building a real-life Minority Report.

Engineering at EvolutionIQ

Engineering team and processes

At DeepFraud, you will:

• Work with researchers in our AI group on live data • Write, test and maintain production-quality code • Design, experiment and evaluate models • Publish research findings in leading academic venues and represent DeepFraud at industry conferences • Advance into leadership roles at an accelerated rate • Work directly with the founders to build a company from the ground floor

Tech stack

Tensorflow

PostgreSQL

React

GraphQL

Python

Pandas

Apache Spark