Data Annotation & AI Training
Controlled annotation and QA at production scale.
BergFlow runs the controlled record for data labeling and AI training — structured intake, annotation, multi-pass QA, reviewer accountability, and lineage tracking — so every batch is traceable from receipt to delivery.
96–98%Annotation accuracy across text, image, video, audio, and 3D
2+QA gates per batch
1,250+Trained specialists
Modalities
Every modality, one queue.
Text annotationImage labelingVideo segmentationAudio transcription3D point-cloudRLHF dataGolden setsReviewer QA
How it runs
Lineage from intake to delivery.
01
Structured intake
Every batch enters a labeled schema. Work items tracked from receipt to delivery with full lineage.
02
Multi-pass QA
At least two QA gates per batch. Error rates measured per reviewer, per modality, per task type.
03
Feedback-loop ready
Corrections, disagreements, and new instructions route back into BergFlow with audit history intact.
Next step
Send one batch through the queue.
A 4-week pilot benchmarks accuracy, throughput, and QA evidence on your own data.