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AI TRAINING DATA

High-quality data, collected right

We design consent-aware pipelines to source, label, and audit text, speech, images, documents, and video—at scale. Gold sets, inter-annotator agreement, and multi-pass QC keep labels consistent while dashboards surface drift early.

Consent & privacy
Gold-set audits
IAA metrics
Multi-pass QC
Vendor network worldwide
High-quality data, collected right

What we collect

Text (prompts, intents, entities, sentiments) • Speech (read/spontaneous, diarization) • Images (people, objects, scenes) • Documents (OCR scans, forms, receipts) • Video (segments, actions, events)

Tasks we support

Comprehensive annotation and labeling services across all data modalities

Transcription & segmentation • Speaker diarization • Intent & slot tagging • NER • Sentiment • Topic & quality ratings • OCR box/zone markup • Key-value extraction • Layout & table structure • Safety & policy labeling • Pairwise ranking / preference data • Red-teaming prompts & responses • Multilingual eval suites (XSTS-style)

Our Process

A proven 5-step methodology for exceptional results

01

Scope & schema

Goals, risks, acceptance criteria, and a data card.

02

Guides

1-page contributor guide + 2-page annotator guide; examples and edge cases.

03

Source

Global vendor network, consent kit, contributor portal, age gating where required.

04

Label

Trained annotators, overlap jobs for IAA, calibrated reviews.

05

QC

Gold-set audits, double-blind checks, error taxonomy, drift monitoring.

06

Ship

Data + docs: schema, QC report, change log, and governance notes.

Quality & governance

Gold sets & spot checks

Calibrated intervals ensure consistency and accuracy throughout the annotation process with regular quality validation.

IAA metrics

Cohen's κ / Krippendorff's α and reviewer feedback loops to measure inter-annotator agreement and improve label quality.

Error taxonomy

Accuracy, span, class, policy errors tracked with pass thresholds set collaboratively to maintain quality standards.

Drift & bias dashboards

Live counters across languages, regions, and demographics to monitor and prevent dataset bias in real-time.

Privacy compliance

Consent artifacts linked to file IDs, PII minimization, revocation window, encrypted transfer & role-based access.

Compatible with industry-standard annotation tools and custom workflows

Formats we handle

JSON • XLIFF • YAML • PO/RESX • Android/iOS strings • HTML/Markdown • DOCX/XLSX/PPTX • SRT/WebVTT/TTML • INDD/AI/PSD • CSV/TSV/COCO

Formats & schemas we deliver

Standard formats for seamless integration with your ML pipelines

Text & labels

JSON / JSONLCSVTSVParquet

Image annotations

COCO (instances/keypoints)YOLOPascal VOCLabelMe JSONVIA JSON

Document OCR

ALTO XMLhOCRPAGE XMLCOCO-style word/line boxesKey-value CSV/JSON

Speech & transcription

WAV/FLAC audioTranscript TXT/DOCX/JSONRTTM (diarization)ELAN .eafPraat TextGrid

Video

MP4 segments + JSON/CSV labelsCVAT XMLCOCO-Video sequences

Eval outputs

Scorecards (CSV/JSON)Confusion/error summariesGovernance & data cards (PDF/MD)

Security & ethics

NDA with all staff and vendors

Consent kits in plain language

Pseudonymized IDs

Least-privilege access

Encrypted transfer/storage • Region-sensitive rates • Audit trails on edits & exports

Frequently Asked Questions

Need reliable training data— fast, safe, and audit-ready?

Send your schema and target counts. We'll return a pilot plan, sample rows, and a fixed scope.