We're making ML accessible to everyone

AutoML was founded in 2020 with a simple mission: democratize machine learning by removing the barriers between data and insights. No PhD required.

Democratizing machine learning for all

Machine learning shouldn't require a PhD or a team of data scientists. We believe every company, regardless of size or technical expertise, should be able to leverage AI to make better decisions.

AutoML automates the entire ML pipeline—from data preprocessing to model deployment—so you can focus on solving business problems, not tuning hyperparameters.

Team collaboration
10K+
Data Scientists
500+
Enterprise Customers
1M+
Models Trained
99.9%
Uptime SLA

What drives us

Accessibility First

We build for everyone, not just ML experts. Our platform should be as easy to use as a spreadsheet.

Speed & Reliability

Fast model training, real-time predictions, and 99.9% uptime. Your ML infrastructure should just work.

Security by Default

Enterprise-grade security, SOC 2 compliant, and GDPR ready. Your data never leaves your control.

Meet the team

Led by ML veterans from Google, Meta, and OpenAI

CEO

Sarah Chen

Co-Founder & CEO

Former ML lead at Google Brain. PhD in Computer Science from Stanford.

CTO

Marcus Johnson

Co-Founder & CTO

Built ML infrastructure at Meta. Previously at OpenAI research team.

VP Product

Emily Rodriguez

VP of Product

Led product at DataRobot. Former PM at AWS SageMaker.

Trusted investors

$50M Series B led by Sequoia Capital and a16z

Sequoia Capital
Andreessen Horowitz
Accel Partners
Y Combinator

Join our team

We're hiring talented engineers, designers, and data scientists who want to democratize ML.

View Open Positions