
Data Annotation
Training Data Your Models Can Actually Learn From
Human annotation and QA teams.
Labeling, review, and quality pipelines run at 95%+ per-annotation accuracy.
Every AI team learns it the expensive way: crowdsourced labels come back inconsistent, in-house annotation eats engineer time, and accuracy problems surface months later as model failures. Persivate fields dedicated annotation teams, trained on your guidelines, measured on your accuracy standards, backed by a QA layer whose job is catching errors before they reach your training set.
What We Annotate
Images & Video Annotation
Bounding Boxes
Segmentation

Keypoints & Tracking
Documents & Text Annotation

Entity Extraction

Classification

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Structured Data Extraction
Domain-Specific Datasets
Quality Review & Consensus Scoring
Audit Sampling for External Datasets

How We Work
Turn your labeling spec into an operational playbook with worked examples
Annotators calibrate against gold-standard sets before touching production data
Dedicated annotators, not a rotating crowd
Label at agreed throughput
QA sampling on every batch
Quality & Scale
Accuracy reported weekly
Agreement reported weekly
Throughput reported weekly
Quality is measured, not assumed.
Your annotation team scales up or down with your training cycles instead of locking you into platform minimums.
Frequently Asked Questions
What accuracy do you commit to?
Engagements are scoped to your standard, typically 95%+ per annotation, verified through gold-set sampling and reported per batch.
Can you work in our annotation tools?
Yes, or in your internal tooling. The team works where your pipeline lives.
How do you handle confidentiality?
Work happens in your environment or under access controls you define, with NDAs and per-project data handling rules as standard.
What we Build for you
Custom Software
Stop forcing your process into rigid tools. Persivate builds custom platforms that fit you end-to-end.
AI & Automation
AI agents and document automation built on your data. Production systems, real edge cases, fully owned by your business.
Dedicated Teams
Implementation and transformation teams across 20+ technologies, embedded in your process, ramped in days, managed by us.
