MOWA FOR DATA SCIENCE
Stop eyeballing model outputs.
Curate datasets, generate the synthetic rows you are missing, define judges with your own metrics, and read pass rates across models and versions in one durable record.
JUDGES
Judges with your metrics, not ours.
Scorers accept custom score interfaces, so an LLM judge returns the fields you defined: your scales, your labels, your thresholds. The metric is yours; Mowa just runs it everywhere.
- Custom score interfaces per scorer
- Free categories instead of fixed rubric types
- Same judge applied identically across runs
fields: faithfulness 0-1 · citations int
judge: llm, rubric versioned
applied: every experiment
EXPERIMENTS
Pass rates you can stand behind.
Experiments record runs against scorers into immutable snapshots with pass rates. A result you quote next quarter still points at the exact dataset, version, and judge that produced it. Shipping now, included in Pro.
- Run × scorers recorded as pass rates
- Snapshots pin dataset, version, and judge
- Results stay reproducible after the fact
prompt v13 · dataset ticket-set
judges: faithfulness, policy
snapshot: locked
SYNTHETIC DATA
Synthetic data on demand, images included.
Define the dataset shape, add guidance, and generate rows, including synthetic images. Import real cases from CSV when you have them and generate the long tail when you do not.
- Dataset shapes define the columns and types
- Guidance steers generation toward your edge cases
- Synthetic image generation for visual inputs
- CSV import for the data you already trust
generated 52 rows · 12 images guidance: refund + kyc hold
REGRESSION
Regression deltas are coming online.
Candidates read against pinned baselines with per-case deltas, so distribution shifts show up as flags instead of anecdotes. Coming online now; experiments already make before and after comparable.
- Regression: coming online
- Baselines pinned per dataset and scorer
- Per-case deltas surface where the change bites
baseline v12 · candidate v13
Δ per case, per scorer
flag on any drop
How it runs
one loop, every record kept
01 prompts
versioned, reviewed
02 datasets
rows + synthetic
03 runs
versions × models
04 scorers
your judgment
05 experiments
pass rates
MOWA FOR DATA SCIENCE
Ship the change with the evidence.
Start free and build your first dataset today. Synthetic generation at scale, judges, and experiments included in Pro. Scale when you are ready.