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, from tech, 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 our Jobs 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
Ranking labs-of-origin for genetically engineered DNA using Metric Learning
With the constant advancements of genetic engineering, a common concern is to be able to identify the lab-of-origin of genetically engineered DNA sequences. For that reason, AltLabs has hosted the Genetic Engineering Attribution Challenge to gather many teams to propose new tools to solve this problem. Here we show our proposed method that aims to rank the most likely labs-of-origin and generate embeddings for DNA sequences and labs. These embeddings can also be used to perform various other tas
Fernando Camargo
7 common mistakes of a machine learning beginner
In recent years, the term Artificial Intelligence has gained strength and together with it have emerged some professions such as Data Scientist and Machine Learning Engineer. Knowing and applying machine learning is attractive and appears to be the path to success. However this path can be troubled and especially discouraging for those who are just starting out. Over the years working as a Data Scientist and Machine Learning Researcher, I have witnessed several common mistakes that made life di
Igor Muniz
AI Infrastructure Alternatives for your Business
With cloud offerings becoming more abundant and diverse, cloud infrastructure seems to offer a much cheaper and simpler alternative to an on-premises data center. Many organizations, that need Artificial Intelligence to help with decision-making, problem-solving, etc. face a complicated decision: what is the best infrastructure deployment for AI workloads? Generally speaking, there are three possible deployment options. You can run your AI on-premises in your own datacenter, rent some space at
Adriano Marques