Custom AI Annotation Workflows
Enterprise-grade, bespoke data labeling architectures designed for non-standard modalities and high-security requirements.
Interactive Preview
// Custom Output Format
{
"project_id": "P-9921",
"batch_id": "B-001",
"data": { ... },
"qa_status": "passed",
"reviewer": "USR_992"
}Capabilities & Features
- Multi-stage Human-in-the-LoopEnterprise grade precision
- Custom Schema DesignEnterprise grade precision
- Secure Delivery PodsEnterprise grade precision
- API-First IntegrationEnterprise grade precision
Quality Assurance Process
Every project undergoes a rigorous 3-step verification process: Annotator Self-Check, Senior Reviewer Audit, and Automated Consistency Checks. We guarantee 98%+ accuracy on Golden Sets.
Custom AI Annotation Workflows, as one route
From your raw data to a model-ready dataset, with quality gates you can audit.
- Business problem
Your raw data
Custom AI Workflows
- VentureSoft thinking
Guidelines and gold set
Agreed with your ML team
- Technology
Multi-stage Human-in-the-Loop
- Technology
Custom Schema Design
- Technology
Three-tier QA
100% review, golden-set audit
- Measured outcome
Model-ready dataset
Delivered in your format
From pilot to production
Sample and scope
Send a sample; we return a labeled subset with QA metrics.
Guidelines
Schema, edge cases, and acceptance criteria versioned together.
Pilot batch
Up to 5,000 annotations through the three-tier workflow.
Scale
Dedicated pod with API delivery into your pipeline.
Continuous improvement
Gold sets and guidelines evolve with your model.
- 1Phase 1
Sample and scope
Send a sample; we return a labeled subset with QA metrics.
- 2Phase 2
Guidelines
Schema, edge cases, and acceptance criteria versioned together.
- 3Phase 3
Pilot batch
Up to 5,000 annotations through the three-tier workflow.
- 4Phase 4
Scale
Dedicated pod with API delivery into your pipeline.
- 5Destination
Continuous improvement
Gold sets and guidelines evolve with your model.
Start with a pilot dataset
Send us a sample and we will return annotated data with QA metrics within days.