Endurazymes

AI now designs far more enzyme variants than labs can test, and teams usually learn which ones fall apart under heat or harsh chemistry only after spending on the wrong candidates. Endurazymes screens libraries for stability under real process conditions early, so teams advance the variants that will hold up.

Industrial enzymes have to work at high temperatures, in organic solvents and in low-oxygen processes, but the usual workflow screens for activity first and tests stability late. Every stage after hit selection makes a weak candidate more expensive, and as AI multiplies the number of designs, the bottleneck has moved from creating variants to knowing which ones matter.

EnduraFAST adds stability as an early selection layer. It uses a small, thermostable fluorescent folding reporter, described in peer-reviewed research and developed at Los Alamos, to read whether each variant stays folded after heat, chemicals, low oxygen or time. It does not replace activity testing; it tells a team where to spend it, and pilots start on the customer's own enzymes.