Natural language processing
Doctoral research in computer science, focused on factuality, relational evaluation, hallucination detection and retrieval-augmented generation.
ABOUT ANNEALING
Research depth. Engineering patience.
Our experience spans model research, scientific experiments, domain data and legal practice. We focus on how technology fits into actual work.
Team backgrounds
Theoretical physics
Doctoral research in condensed-matter theory and materials computation, with experience in generative models, post-training and scientific agents.
Life sciences & education
Experience in biotechnology and subject teaching, spanning plant genomics, curriculum design and online assessment products.
Legal practice
Legal practice involving criminal cases, structured rules, case-file analysis and human–AI workflow design.
How we work together
Domain experts define the problem and decision boundaries. Researchers and engineers turn the workflow into a system, then evaluate it against actual outcomes.
Keep the basis for each decision
We care where data comes from, how a task runs and how its result can be reviewed. Where professional judgment is still required, human responsibility remains part of the workflow.
Explore the research