We Solve Today's BiggestProblems With The Power ofExponential Technologies
We are
Exponential Ventures

Founded by Adriano Marques, Exponential Ventures is a Startup Studio focused in creating solutions empowered by Exponential Technologies such as Artificial Intelligence, Quantum Computing, Digital Fabrication, Blockchains, Human-Machine Interaction, and Robotics.

In order to achieve that, we've put together a team of highly qualified multidisciplinary professionals ready to solve the hardest problems in virtually any industry, fromtech, to defense, to finance, to health, to legal,and beyond.

On top of having built an amazing team, we also have put together an amazing infrastructure that allows us to build any kind of prototype as well as conduct massive processing tasks on-premise.

Startup Studio.

Different from Incubators and Accelerators, a Startup Studio is a company that creates Startups from its own ideas while using only internal human and financial resources. This setup allows for quickly testing out ideas, reusing technology, and sharing resources, giving our Startups the best chances of finding product-market fit.

We draw upon many years of experience launching and running Startups in different industries to continually improve our ideation and product development processes.

We're always hiring. If you're a talented professional looking to make a dent in the universe by taking part in one or several of our innovative ideas, checkout ourJobs Board and send us your resume!

Innovation Factory

We're in it for the long run, and there are a few things going for us.

Compounding Effect

As a parent company, Exponential Ventures benefits from exclusive licensing deals with its child companies to accelerate the development of new ideas. With this strategy, we're able to speed up the process of launching new startups further increasing our capabilities and chances of finding product-market fit.

Integrated Teams

By investing in people, we're able to retain a highly qualified multidisciplinary teams ready to start a new project at any moment. We're continually improving our skills and stretching ourselves out of our comfortable zones while delivering high quality results.

Our capabilities

The foundation upon which great Startups are being built

Dedicated cluster

On-premise High-Performance Cluster for Artificial Intelligence and Data Processing.

Multi-disciplinary team

Ready to take on new challenges

Our lab

3D Printers, CNC, Laser Cutter, and tools to build Prototypes and test out ideas.

When it comes to track records

And the Open Source Projects we launched:

Latest News
Porto Seguro Challenge - 2nd Place Solution
We are pleased to announce that we got second place in the Porto Seguro Challenge, a competition organized by the largest insurance company in Brazil. Porto Seguro challenged us to build an algorithm to identify potential buyers of their products. If you are interested in knowing how to do the same and still discover the secrets that led us to second place, read on below! Introduction In this problem, Porto Seguro provided us with data of users who bought or did not buy one of its products. T
Igor Muniz
Predicting Reading Level of Texts - A Kaggle NLP Competition
Introduction: One of the main fields of AI is Natural Language Processing and its applications in the real world. Here on Amalgam.ai [https://amalgam.ai/] we are building different models to solve some of the problems around the NLP world, and by consequence, trying to make the world a better place. The Competition: Can machine learning identify the appropriate reading level of a passage of text, and help inspire learning? Reading is an essential skill for academic success. When students have a
João Paulo Martins
Porto Seguro Challenge
Introduction: In the modern world the competition for marketing space is fierce, nowadays every company that wants the slight advantage needs AI to select the best customers and increase the ROI of marketing campaigns. And of course, our team at Amalgam.ai is developing solutions to this field. The Challenge: In this competition we were challenged to build a model that predicts the probability of a customer purchasing a product. The score chosen to measure the quality of the prediction was the
João Paulo Martins