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Everbloom develops AI model to recycle organic waste

EcoNote | February 23, 2026 | By:

Close-up of a white spool of yarn with intricate texture, resting on a dark surface, highlighting its soft fibers and winding pattern.
The yarn is produced according to clear targets, including stretch, resistance and hand feel. Photo: Everbloom.

Boston, Mass., startup Everbloom is turning organic waste, such as discarded down, wool and cashmere, into usable garment fibers braided by AI. The startup describes the textile as softer than merino, more indulgent than cashmere, and stronger than silk. 

The production process starts with existing protein-based material throwaways, which the company collects from textile waste and agriculture. The team treats them as raw input, sorted by type and cleaned by the in-house developed AI system named Braid. This is designed to separate protein waste based on its source, condition and composition, and to collect data from these inputs to study how they react during processing. 

The model analyzes how proteins behave under changes in temperature, moisture and molecular weight, and from this data it predicts the properties of the final fiber before production starts, including how it will respond to tension, dye and wear. Based on these predictions, Braid AI suggests adjustments, and they’re translated into settings for the melt-spinning machines. 

The model also allows different waste streams to be combined into one system, so instead of treating each input as a problem, it treats them as variables to scale production. This link between software and hardware reduces trial-and-error testing; what once took months in a lab can now be done in weeks. 

A hand holds a fluffy, white mass of organic fiber against a neutral background, symbolizing recycling efforts in sustainable materials.
Everbloom turns organic waste, including discarded feathers, cashmere and wool, into usable garment fibers braided by AI. Photo: Everbloom.

The process

After cleaning the organic waste, the proteins are extracted, but they’re not ready to be transformed yet into AI-churned usable garment fibers. They must be changed at a molecular level. Using protein engineering and molecular biology, Everbloom adjusts the structure of the proteins to control how the material behaves later in production. 

The processed protein is then turned into pellets, which are easy to store, move, and measure. They also allow the material to fit into existing manufacturing systems as well as help stabilize quality and make the process repeatable. The pellets are designed to work with standard melt-spinning machines, the ones already used across the textile industry to produce synthetic fibers.  

In this case, the pellets can replace polyester in this system. When heated and stretched, the pellets form long filaments, and this allows manufacturers to adopt the AI-churned usable garment fibers without rebuilding their factories. 

Once the filaments are created, the next step is yarn production. The yarn is produced according to clear targets, including stretch, resistance, and hand feel, and each parameter is defined before production begins. The yarn can then be knitted or woven into fabric, and at this stage, the material is ready for use in garments. 

Most fibers used today are made from fossil fuels and don’t break down after use. At the same time, large amounts of protein waste are discarded each year. Everbloom positions its system as a way to connect these two issues by replacing synthetic input and reviving discarded waste into regenerated biological material at scale.

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