Experience
These are representative areas in which Covalent Forge brings hands-on knowledge. Engagements are scoped around the client’s operating problem or the collaborator’s research question.
Operating local and private models with attention to throughput, memory, reliability, and maintainable interfaces.
Making experiments inspectable and repeatable, particularly when published baselines or standard tooling are incomplete.
Implementing model and performance work that falls outside straightforward framework configuration.
Helping research code move from an individual environment to shared, scheduled, and accelerated infrastructure.
Example domain
Work in antibody and protein modeling illustrates how we collaborate: start with the scientific objective, build the training and evaluation machinery it requires, and make interpretation part of the result.
PEFT, domain adaptation, custom objectives, and custom training implementations.
t-SNE, UMAP, attention heat maps, and gradient-weighted attention rollout.
Antibody and antigen modeling, protein–protein interaction, and related model evaluation.
Evidence and attribution
Client and academic work is documented for the people who need to operate or assess it. Public case notes, repositories, and publication links are shared when permissions and collaboration terms allow.
Discuss a collaboration