World-native data for models that must survive reality.

Semanta creates synthetic worlds, datasets, quality metrics and training-ready packages. Not files first. Worlds first.

What makes Semanta different.

Most platforms deliver datasets. Semanta delivers controlled reality: generated worlds with scenarios, labels, metrics, lineage and model-training handoff.

1

Worlds, not files

Data is generated as regimes, shocks, histories and decisions, so models train against behavior instead of flat rows.

2

Evidence with every artifact

Each package ships schema, quality metrics, reproducibility seeds, manifests and claim boundaries.

3

Ready for private pilots

Public proof stays synthetic-only. Customer data stays private. DeepSeek/Gamma are accelerators, not data sinks.

One clean production loop.

Describe the objective. Semanta builds the world, generates the dataset, scores quality, packages for HF or StarForge, then closes the loop through evaluation.

StepOutputProof
World FactoryscenariosDWS/DSM
Synthetic Enginedatasetsmetrics
StarForge handofftrain/evalmanifest
Observabilityloopdrift signals

The first public proof: Semanta Dataset Suite.

A synthetic-only HF-ready package showing width, depth and industry breadth: 1,270,621 rows, 398 MB compressed, 56.46 years of daily history and 10 verticals.

?A dataset is not the product. The product is a reproducible world substrate that can train, evaluate and improve models.?

HF-readyprivacy passschema passseededlineageclaim boundary