Create, clean, extend, and manage large multi-modal datasets — with a dedicated pipeline catalog for transcription, translation, OCR, deduplication, and more — ready to feed your verification and crowdsourcing programs.
Looking for a delivered result instead of infrastructure? See our five crowd products.
Want to seed a crowd job's input data from a dataset? See the Crowd Platform.
Your files. Versioned, cleaned, and ready to run.
Upload files into named, versioned datasets. Every cleaning or enrichment step creates a new traceable version — the original is never overwritten.
Trim silence, convert formats, or redact PII with cleaning pipelines that keep full lineage back to the source files.
Transcribe, translate, identify language, extract entities, and OCR your files with purpose-built LT pipelines.
Flag duplicate files by content hash and review them before they count against your dataset.
Partition a dataset version into training, validation, and test sets in a single pipeline run.
Push cleaned files straight into a verification pipeline run or a crowd job's input data — no manual re-upload.
The same pipeline system that powers Crowdee's own data operations, scoped to your organization.
Start a new dataset and upload your first batch of files — image, audio, video, text, or document.
Run cleaning pipelines to trim silence, redact PII, or convert formats, producing a new version each time.
Transcribe, translate, or extract entities from your files using the pipeline catalog.
Flag and exclude duplicate or low-quality files before the dataset feeds downstream work.
Feed the finished dataset into a verification pipeline run or a crowdsourcing job's input data.
Purpose-built pipelines for cleaning, transcribing, translating, and preparing your datasets — all sharing one catalog and run history.
Prepare raw files for downstream use.
Extract structured signal from unstructured media.
Keep datasets lean and ready for training.
When automation isn't enough, bring in the crowd.
We help teams add new cleaning, labeling, or format-conversion pipelines to the catalog for their specific dataset needs.
Book a DemoNo separate data pipeline to build and maintain — datasets you create here can feed verification runs and crowd jobs directly.
Every cleaned or enriched file traces back to its source, across every version of a dataset.
The same dataset can feed a verification pipeline run and a crowdsourcing job's input data.
Content-hash based duplicate detection keeps your datasets clean without manual spot-checking.
The Data Platform prepares the files. If you want a delivered verdict or your own crowd program instead, these might fit better.
We'll walk through datasets, pipelines, and versioning on a real tenant, and help you scope your cleaning and labeling needs.
