Protera uses a proprietary deep learning algorithm, madi™, to screen billions of amino-acid combinations and predict functional proteins and enzymes with high speed and accuracy. The company is developing clean-label, animal-free food ingredients such as protera guard™, a protein designed to extend shelf-life and replace widely used chemical ingredients. Protera is scaling up its manufacturing process and validating its protein-based ingredients with several multinational companies as it prepares to deploy products to market. The company was founded in 2015 in Chile and participated in IndieBio in 2016. Protera has strengthened its leadership and governance with industry veterans joining its board as it moves toward commercialization. The recent financing will accelerate scale-up and downstream deployment of its protein ingredients. Protera uses a proprietary deep learning algorithm called MADI™ to predict and design high-value, patentable protein products and enzymes with speed. Its product portfolio includes protera guard™, a clean-label protein intended to extend shelf-life and replace chemically derived ingredients. The company is beginning pilot trials with multinational food companies and intends to commercialize its protein ingredient portfolio. Protera closed a $5.6 million Series A to support commercialization and scale-up of its offerings. Leonardo Álvarez (CEO) and Francia Navarrete (COO) founded the company in 2015; the team participated in the IndieBio accelerator in 2016. The company positions its technology to address sustainability challenges across multiple verticals including food, agriculture, and human health.

Total raised

$16M

Funding rounds

2

Latest round

Series A

Latest activity

Jul 2021