ESMFold

Meta AI · 2022 · Science/Biology · USA

A to Z

A · App: No
B · Built By: Meta AI
C · CEO & Politics: Mark Zuckerberg — Centrist / shifted right 2024–26; accommodative of Trump admin; July 2026 WSJ op-ed on distributed superintelligence
D · Date: 2022
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: USA
K · Key Staffers: Alexandr Wang (Chief AI Officer, Meta Superintelligence Labs), Nat Friedman (MSL co-lead), Chris Cox (Chief Product Officer)
L · Languages: English-primary
M · Model Type: Science/Biology
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, MIT)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: Meta FAIR's ESMFold, an end-to-end protein structure predictor that runs on the ESM-2 language model (about 690M parameters on top of a 3B-parameter ESM-2) and predicts 3D structure directly from a single protein sequence; released November 2022.
S · Stock / Status: $752 (META, Sep 25, 2026)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: @AIatMeta
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Science/Biology from Meta AI, released 2022.

Data completeness 85% · Last verified 2026-08-09 · Primary source ↗

“ESMFold.” AIDb — The AI Database. Verified 2026-08-09. https://theaidatabase.com/m/esmfold.html