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DATA / MACHine learning

Learn, Predict, and Adapt

Companies differentiate themselves with both their products and their ability to collect data and glean insights. Machine learning powers AI capabilities like recommendation systems and predictions. From increasing user satisfaction with personalized content to reducing costs with automation, machine learning leverages data science and modern data processing to make predictions and emulate human decision-making.

AE offers a unique blend of development expertise, domain knowledge, and quantitative savvy.

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Trusted by:

Artificial Intelligence

We help to identify the integration of blockchain technology by completing extensive market research, feasibility assessments, and thorough analysis of available platforms and tools.

Computer Vision

Concluding our discovery and research, we assist companies in creating an ideal roadmap, a comprehensive whitepaper and ultimately an efficient MVP.

Natural Language Processing

We build powerful applications that utilize underlying smart contracts to execute secure transactions on the blockchain. Our developers follow agile to ensure building an efficient MVP.

Predictive Analytics

Our team specializes in crafting immutable or upgradeable smart contracts through proxies to power the DApps we build.

Recommendation Systems

Our creative teams work together to craft the right strategy and marketing mix to engage, influence and gain credibility. Through these methods, we  form an engaging community and positive morale around your product.

Intelligent Automation

We straddle enterprise/web3 and understand how to manage projects with multiple stakeholders, tight timelines, high stakes, brand management responsibilities and we won't vape on zoom calls.

Web Scraping

We straddle enterprise/web3 and understand how to manage projects with multiple stakeholders, tight timelines, high stakes, brand management responsibilities and we won't vape on zoom calls.

Data Visualization

We straddle enterprise/web3 and understand how to manage projects with multiple stakeholders, tight timelines, high stakes, brand management responsibilities and we won't vape on zoom calls.

Chatbots

We straddle enterprise/web3 and understand how to manage projects with multiple stakeholders, tight timelines, high stakes, brand management responsibilities and we won't vape on zoom calls.

Helping our clients launch and scale.

We help our clients solve fascinating problems that allow them to move faster than the market using machine learning methodologies.

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Global Shop Solutions

SYNOPSIS
We built a custom API using GPT-4 Vision to parse the data Global Shop Solutions had been aggregating manually from invoices, vendor quotes and other documents. The API connects that data to the enterprise resource planning (ERP) software Global Shop Solutions provides for manufacturing enterprises. ERP users now retrieve the values extracted from the documents–including data like gross totals, date and vendor–automatically from the interface. Our custom AI model transcribes these documents with 95% accuracy, so team members now only have to review the values and save the documents, decreasing overhead cost by 90%.

KEY METRIC

90%
decrease in overhead costs

Outcome
In less than 10 weeks we developed and delivered a custom build, wrote detailed API documentation and collaborated closely with the GSS engineering team to ensure a smooth handover. AE Studio surpassed Global Shop Solutions' expectations – delivering two weeks sooner than the original goal, and building a model that was 15% more accurate than expected.

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Jupiter

SYNOPSIS
We delivered a secure AI-powered chatbot platform to query the Jupiter Intelligence climate database with natural language. With this platform, Jupiter’s vast storehouse of data is now democratized. Both power users and non-power users have access to accurate, sourced, intuitive and insightful answers.

As a global leader of actionable climate data, risk models, prediction and services, Jupiter Intelligence has 25,000 open-source data elements for every 90 square meters, across the planet–from Manhattan to Mongolia. AE Studios delivered a conversive way for Jupiter Intelligence’s global teams and clients to access and contextualize this data without needing to write raw queries.

The first challenge was to create a proof of concept (PoC) that proved out whether AI technology was mature enough to be able to handle the basic set of questions asked by the typical user. And make the platform’s responses consistent across multiple data sets.

With changes to AI technology evolving as the project progressed, we were able to use AI to generate SQL queries to access the correct data. And AE Studio’s team provided downloadable, domain-based context, graphs and tables. In seven weeks Jupiter had a stable product they could use to empower clients with access to their unique climate data.

Outcome
In seven weeks Jupiter had a stable product they could use to empower clients with access to their unique climate data.

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Recharge

SYNOPSIS
Human agency is enhanced when humans can enter, revise, and exit subscriptions seamlessly. We built Electric SMS to automate those processes. Though corporations fear that giving customers control will incur short-term costs (and they’re right!), our analytical efforts (MRR and LTV) verified that empowering customers builds longer, more robust relationships with brands (and we were right too!). Agency is good for customers and corporations alike—we’ve seen this firsthand, and we want everyone else to see it too. (Not like we’re biased or anything).

Outcome
When Recharge found Electric SMS’s subscription management a delectable morsel of technology, our instincts were validated—and now, 220,000 users manage their subscriptions and over $25M in revenue is being processed for 56 merchants. Increasing human agency doesn’t just make sense. It makes dollars.

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Neurophysiological Data

SYNOPSIS
Who doesn’t love playing games on their smartphones? What if a game assessed your level of impairment before you took the wheel of a vehicle? Increasing the agency of drivers (and the safety of everyone) is right up our alley. AE constructed a dashboard connecting the neurophysiological data game-players generated to self-reported responses to cannabis and other demographic indicators. Admins and public safety officers saw a picture of impairment that had never been available without noticing the erratic veering of a couple tons of steel! Safety, smartphone games, and sound decision-making! Win, win, win!

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Fan Data

SYNOPSIS
Ever look up the lyrics of a band whose concert you’ll attend? Of course you have—but the musicians aren’t looking you up! Artists crave insight about who attends their shows, and their marketing teams need it like plants need sunlight (photosynthetic marketing divisions are not yet an internal project, but give us time, and who knows!). Our dashboards help describe who came to the show without sharing too much (like that mirror performance of their hit you thought no one knew about).

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 Cal Tech in Experimental High Energy Particle Physics.
ED CHen, HEAD OF DATA SCIENCE
Mike
Experienced data scientist and avid problem solver. While earning his PhD in Computational Data Science from the University at Buffalo, he created new machine learning techniques that he applied to better understand brain activity in the moments before an epileptic seizure.

Has a proven track record of delivering end-to-end machine learning solutions for a Fortune 500 bank, including delivering state-of-the-art natural language processing models for monitoring customer feedback and an AI system for real-time fraud prevention among many others.
MIKE, SENIOR DATA SCIENTIST
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.