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DATA / DATA SCIENCE

Superpowers
for any product

When your product needs a high-performing algorithm, powerful computer vision, or intelligent machine-learning AI, we can help develop or improve your offering.

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Organized data is the key to the future.

We help you turn messy, unstructured information into clear, actionable insights.

Our data science team builds pipelines, models, and dashboards that drive smarter decisions.

From predictive analytics to real-time data infrastructure, we unlock the full value of your data with a team who is academically trained in the discipline.

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Helping our clients launch and scale.

Building with AE is a partnership centered around collaboration and long-term value.

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Bloom

SYNOPSIS
Bloom is revolutionizing health tech with daily urinalysis to track your 15+ important medical bio-markers: Ketones, Vitamin-C, Hydration, etc. The Bloom computer vision algorithm wasn’t performing where the team needed to reach their next inflection point, raise follow-on funding, and launch to the masses. Our team worked with them to dramatically improve their technology, add additional functionality, and get to the next level.

KEY METRIC

190%
Improvement to existing platform

OUTCOME
5k+ pre-orders of 40k+ products. Raised multiple rounds of venture capital.

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Best Apps

SYNOPSIS
Best Apps is a custom apparel platform, where fans can partner with their biggest stars - whether celebrities, brands or athletes - to create custom clothing. Best Apps needed our help developing a moderation system to monitor and approve images and custom text being added by fans. Uploading your own image next to famous Muhammed Ali was a huge innovation, and they needed our help to execute it. Our team developed their entire machine learning moderation strategy and built it scalably.

KEY METRIC

96%
moderation accuracy (4% elevated to human review)

OUTCOME
Major launch with A-list celebrity. 4m visits in 3 days over $1m in revenue. Raised large Series A.

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Streamoid

SYNOPSIS
Streamoid is a fashion-tech company who’s super-intelligent fashion AI acts as a highly trained stylists and shop-assistants while providing the largest fashion retailers with an in-depth knowledge of their product catalogue. Streamoid needed help training their machine learning models, including building the models from scratch and sourcing training data. Our team built the scraping engine to source and label training data and then trained a recursive neural network to power Streamoid’s AI.

KEY METRIC

95%
garment classifier across 100+ categories

OUTCOME
Partnership with Target. Raised multiple rounds of venture capital

A team full of experience.

Our data scientists - from places like Stanford, CalTech and MIT - are highly collaborative, efficient and pragmatic.

Ed Chen
25+ years of experience using statistics and machine learning to analyze datasets in physics, finance, and online petitions. Expert in machine learning, deep learning, and distributed computing as a means of processing and analyzing large datasets. A.B. Magna Cum Laude in Chemistry & Physics from Harvard College and PhD from CalTech in Experimental High Energy Particle Physics.
Ed Chen, Head of data science
Fabio
Fabio is a senior data scientist and deep learning engineer with 8+ years of industry experience and a software engineering background. In his master's degree, he applied artificial intelligence to assist physicians in diagnosing skin lesions. Using deep learning, computer vision, and NLP, Fabio has created banking, healthcare, e-commerce, and consumer tech products, impacting millions of users. He has developed unique solutions for early-stage startups, tech unicorns, and large enterprises. His research publications have won awards and spawned international patents. His current challenge involves employing large language models to solve real-world problems.

In his spare time (surprisingly, he has some), he loves reading thought-provoking AI research papers and pondering how they might soon influence our daily lives.
FABIO, DATA SCIENCE TECHNICAL DIRECTOR
Francisco
Senior data scientist with a passion for developing creative solutions to complex problems. Over the past 7+ years, he has demonstrated this by utilizing supercomputers to solve partial differential equations during his PhD at Princeton, as well as spearheading the integration of machine learning into a health-tech startup, starting from the ground up and reaching millions of users.

At AE, Francisco is thrilled to apply his expertise in Natural Language Processing, Large Language Models, and Deep Learning to solve challenging problems. He is dedicated to fostering genuine relationships with all individuals involved, as he believes in the power of collaboration and shared success. During his free time, he enjoys hosting BBQ cookouts, having spontaneous dance parties with his kids, and reading historical biographies.
FRANCISCO, SENIOR DATA SCIENTIST

We implement agency-increasing technology around the world.

More about us.

Learn more about all the members of our team and why we do what we do.