AI Creative Optimization

Optimize your creatives with generative modeling AI:

Emotion
Age
Gender
Race
Learn More

Optimize Your Creatives

Improve ROI
Bloom optimizes your campaign for your CPA or CPI goals
Photorealistic
Personalize human faces across emotion, age, and identity
Save time
No need to do another photo shoot or find different photos

Technology

1
Generative modeling

Bloom uses generative modeling to create images that look like they were taken by a human photographer.

Recent advancements in AI have allowed us to develop an elaborate algorithm with dozens of neural networks trained on real images.

2
Reinforcement learning

Used in self-driving cars, robotics, and beating humans at Go, deep reinforcement learning explores actions and scenarios, searching over space optimally.

This enables Bloom to search through the output of the generative models to personalize the creatives for your campaign.

Team

We are computer scientists from Yale and MIT with decades of experience in e-commerce, ad tech, and AI.

Investors include AI entrepreneurs from Microsoft, Bonsai, and Amobee, and photo industry executives from EyeEm.
Aarlo Stone Fish

Automated over $10m of ad spend, Yale computer science

Vanessa Lam

‍MIT Sloan