Datalab
High-precision document intelligence. Transform unstructured content into precise, production-ready data.
PUBLIC TRACTION
Usage, audience and developer pull
WHY IT IS ON THE RADAR
Capital-efficient model reach
- High reach per model
- Shipping now
- GitHub momentum
MODEL FOOTPRINT
What it publishes
- Top tasks
- Not classified
- Model sizes
- <0.5B (7); 0.5-3B (3); 3-10B (3); Unknown (2)
- Base families
- Not declared
- Libraries
- transformers, surya
DEVELOPER ACTIVITY
How it ships
- Languages
- Python, Shell, HTML
- Topics
- ai, ocr, extract, pdf, python
- Latest release
- datalab-to/marker · Jul 20, 2026
ACTIVITY TIMELINE
Latest observed moves
- GitHub pushRepository activity ↗
- GitHub releaseRelease v2.0.0 ↗
- HF modelModel published or updated ↗
- HF datasetDataset published or updated ↗
THE NEOLAB STACK
Publicly evidenced tooling
- Training
- Transformers
- Compute
- Not disclosed
- Hardware
- Not disclosed
- Tracking
- Not disclosed
- Bottlenecks
- Not disclosed
“Not disclosed” means no evidence was found in the sampled public metadata or top model card—not that the lab does not use the tool.
COMPARABLE LABS
Nearest modality peers
Typhoon
VAGO solutions
cyankiwi
ai-sage
GSAI-MLINVESTOR DILIGENCE
Confirm the team and compute inputs behind reach per model; benchmark quality versus the base family.
- HF member count is only a public-profile proxy
- Low declared-task coverage
MISSING FROM THIS RECORD
Completeness: 8 of 14 tracked field groups. Unknowns are explicit so an analyst can close them.
DATA PROVENANCE
Every claim should be auditable.
Platform counters are a point-in-time public snapshot. Editorial facts are only promoted after source review.
NEOLAB TRACKER PRO
Know when the thesis changes.
Weekly deltas, funding and team alerts, portfolio watchlists, CSV exports and an analyst-ready API turn a static profile into a sourcing system.