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Configurable data plans, by industry

Data standards differ sharply across industries. Pick yours to see recommended specs, delivery cycles and acceptance methods — or use the estimator for an instant range.

Instant estimate

Rough ranges based on historical project averages. Formal quotes are confirmed by our sales team.

Why teams choose us

Data quality comes from mechanisms, not headcount.
  • Executable standards first — decision trees and positive/negative examples before production starts
  • Measurable acceptance — agreement (Kappa) and first-pass rate thresholds written into the contract
  • Auditable batches — annotator, reviewer, timestamps and edits retained per sample
  • Compliance tags — de-identification status and cross-border eligibility declared per dataset
  • Delivery you can verify — quality reports, field definitions and version numbers shipped with the data
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Industry solutions

Typical challenges, our approach, recommended specs and acceptance methods.
Robotics / Embodied AI2–4 weeks

Multi-embodiment manipulation data

For VLA, imitation learning and manipulation policy training, delivered with trajectories, keypoints and force feedback.
ChallengesLong-tail coverage, cross-embodiment transfer, GT precision
ApproachSite-based capture + teleoperation + multi-camera sync
Recommended specs30–60 fps with joint states and aligned timestamps
AcceptanceSample acceptance + trajectory consistency review
FormatsLeRobot / HDF5 / MP4
Content Safety1–2 weeks

Compliance evaluation sets

Reproducible evaluation sets for content safety models and review systems, covering violation types, transcript verification and subjective quality.
ChallengesAmbiguous boundaries, standard drift, review cost
ApproachStandard first + cross-labeling + arbitration queue
Recommended specsViolation taxonomy + confidence + evidence timestamps
AcceptanceAgreement threshold met (Kappa ≥ 0.75)
FormatsJSON / CSV + evaluation report
Autonomous Driving2–4 weeks

Road-test video and point cloud labeling

Detection, lane lines, trajectories and 3D boxes on driving video and multi-camera point clouds, including long-tail edge cases.
ChallengesScarce long-tail scenes, strict 3D GT precision
ApproachTargeted capture + pre-labeling + multi-pass review
Recommended specsCamera–LiDAR time sync with intrinsics/extrinsics
AcceptancePer-class IoU / recall spot checks
FormatsKITTI / COCO / PCD
Finance & Risk2–3 weeks

Multi-modal financial document extraction

Layout analysis, table and entity-relation extraction from annual reports, prospectuses and research papers, with OCR ground truth.
ChallengesComplex layouts, diverse table structures, dense terminology
ApproachLayout pre-segmentation + domain lexicon + dual review
Recommended specsPage-level and element-level labels with reading order
AcceptanceField-level accuracy spot checks
FormatsJSON / CSV + PDF index
Healthcare3–6 weeks

Medical imaging segmentation

Multi-organ instance segmentation and lesion annotation on CT/MRI/DICOM with dual cross-review, pixel-level masks and grading labels.
ChallengesDomain expertise, strict privacy compliance
ApproachCertified annotators + de-identification pipeline + dual review
Recommended specsRaw DICOM + masks + grading labels
AcceptanceExpert spot checks + Dice agreement
FormatsJSON / COCO / NIfTI
Commerce1–2 weeks

Live commerce compliance & transcript verification

Livestream clip collection, violation tagging and transcript verification for moderation model training and compliance audits.
ChallengesStreaming latency, mismatch between speech and captions
ApproachStandardized clips + ASR alignment + human verification
Recommended specs30–90s clips with ASR text and timeline
AcceptanceViolation recall and false-positive spot checks
FormatsCSV / JSON + clip index

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