Case Study: Repsol accelerates sustainable fuel formulation with Uncountable

Repsol optimizes 10k+ formulation data points with Uncountable

Repsol, a global multi-energy company, faced the challenge of solving complex formulation challenges in its journey to develop more sustainable lubricants and fuels. Their scientists needed to efficiently optimize formulations using massive libraries of raw ingredients and new low-carbon components, but were hindered by using disconnected software solutions like Excel and outdated custom-made programs. To address this, Repsol partnered with Uncountable and implemented its platform.

The Uncountable platform provided a customizable solution that consolidated Repsol's data into a single database and utilized machine learning tools. This allowed Repsol to reduce its experimental workload, accelerate its R&D cycle, and optimize formulations by predicting those with a higher chance of success. As a result, Uncountable helped Repsol reduce new product development costs and unleash the value of its historical data.

Repsol