CREATING INSIGHTS WITH REAL DATA
An Enterprise AI platform that enables companies with limited machine learning expertise to build scalable and robust demand forecasting models. Our customers are proactively managing the future in the energy, logistics, manufacturing, smart city, and healthcare industries.
01 / ACCURATE
We smartly search through all available data to find the most relevant information for your models (including internal company data and external influences like the weather).
02 / FAST
Your forecasts are trained and put into production in hours, not months, using our automated machine learning tools.
03 / SCALABLE
Building on recent advances in transfer learning, our models can be trained using small data by learning from your prior projects - enabling rapid scaling across all of your projects.
Building Energy Forecasting
EXAMPLE USE CASE
WHO WE ARE
We are a team of MIT engineers with deep expertise in machine learning and prescriptive analytics. Our mission is to enable AI for social good, providing scalable and robust machine learning models to companies in the clean energy, healthcare and sustainability industries.
The potential impact of machine learning on businesses is undeniable, but has only reached a fraction of its potential. Difficulties around data usability, a lack of scalable models, and a shortage of engineers are constraining its impact on companies' bottom lines.
Building on our experience at MIT, Google and Facebook, we are developing a new way of deploying AI models, based on transfer learning. Inspired by how humans learn new tasks faster when they've worked on similar tasks before, we train AI models that mimic behaviors from past experiences, drastically reducing the required data and training time for each new model.