Data / AI Model Data
Data for training, tuning, and evaluating models.
Models improve with data that carries real expertise. We source, generate, review, and evaluate data across the model lifecycle.
01 /Data types
What we source, generate, and evaluate.
01
Pre-training
Large-scale, curated corpora for base model training.
02
Post-training
Instruction, SFT, and task data that shapes model behavior.
03
Expert-generated
Domain experts write, solve, and critique to capture real judgment.
04
RL and preference
Rankings, comparisons, and rubric-scored responses for RLHF and RLAIF.
05
Evaluation and benchmarks
Held-out sets and benchmarks that measure what matters.
06
Enterprise datasets
Your own operational data, structured and made training-ready.
02 /How it is made
Every example carries a record of how it was made.
Source→Generate→Review→Evaluate→Exchange
Expert data is produced on UnifyData: qualified experts answer, independent reviewers decide, and every record ships with provenance a buyer can verify.
Priority domains
FinanceCybersecuritySemiconductorEnterprise operationsCustomer service
Built for
- Foundation model labs
- Domain model teams
- Enterprises adapting models to their business
Compute · Data · Models · Intelligence
Tell us what your model needs to learn.
Describe the capability, the domain, and how you will measure it. We will scope the data.