Platform

The Data Factory
for AI.

From raw data to production-ready training sets — one platform for annotation, quality, and delivery.

How it works

Four steps.
One pipeline.

01

Ingest

Multi-format data ingestion from any source — APIs, cloud storage, or direct upload.

02

Annotate

Expert annotators with custom interfaces tailored to your task and domain.

03

QC

Automated quality gates with consensus scoring and model-in-the-loop validation.

04

Deliver

Production-ready datasets delivered via API or cloud storage in your format.

Capabilities

Everything you need.
Nothing you don't.

Custom Pipelines

Tailored annotation workflows for any modality or domain.

Quality Gates

Multi-stage QC with 99.6% accuracy guarantee.

Expert Routing

Tasks matched to specialists by skill and domain.

Live Analytics

Real-time dashboards for throughput and quality.

Multi-format

Text, image, video, audio, code — all supported.

API Delivery

Programmatic access to datasets and quality metrics.

Developer experience

API-first.
Ship data like code.

Programmatic access to everything — projects, annotations, quality metrics, and delivery. Built for teams that automate.

Get API access
zotus-cli

$ zotus pipeline run --project vision-v3

→ Loading 12,847 samples...

→ Assigning to 24 annotators...

→ QC gate: consensus ≥ 0.92

✓ Batch 1/8 complete (1,606 samples)

✓ Quality score: 99.1%

✓ Pipeline complete — 12,847 samples delivered

Ready to scale your
data programs?

Talk to our team about building custom data pipelines for your AI models.