StormKeep delivers YouTube videos, metadata, transcripts, hashes and manifests directly into your S3, GCS or Azure bucket — so your team can build models, not ingestion infrastructure.
Best for: ML platform teams, data engineering teams, multimodal AI teams, and video understanding / ASR teams.
Useful for teams that want proof of structure before they commit engineering time downstream.
{"video_id":"sk_demo_001","sha256":"9a1e7f0c5d4a...","status":"delivered","target":"s3://ml-bucket/run-2026-06-03/"}
{"video_id":"sk_demo_002","sha256":"13bc9e4d782f...","status":"metadata_ready","target":"s3://ml-bucket/run-2026-06-03/"}
{"video_id":"sk_demo_003","sha256":"a44cb1903f29...","status":"transcript_ready","target":"s3://ml-bucket/run-2026-06-03/"}
{"video_id":"sk_demo_004","sha256":"7de14bc8c4a1...","status":"hash_written","target":"s3://ml-bucket/run-2026-06-03/"}
Training set assembly, recurring evaluation feeds, and monitoring datasets where ingestion has to be repeatable without becoming an internal platform project.
AI teams usually don’t fail on modeling. They lose time on ingestion reliability, dataset structure, and repeatability.
Retries, failures, and pipeline drift turn “just collect videos” into ongoing operational work.
Dataset consumers need stable manifests and predictable fields — not ad-hoc folders and manual QA.
Hashes, timestamps, and delivery reporting help teams explain what was collected and when.
Dataset-ready outputs delivered directly into your bucket with a scoped, repeatable workflow.
Video files, metadata, captions/transcripts where available, SHA-256 hashes, and JSONL/CSV manifests.
Delivery into your S3/GCS/Azure bucket using least-privilege credentials you control.
Scope definition, allow-lists, and rule-based sourcing aligned with your acceptable-use posture and dataset policy.
We scope sources and outputs with you, operate the pipeline, and deliver into your bucket with manifests and hashes.
Define sources, filters, output schema, and delivery target.
Managed ingestion with delivery reliability as the primary objective.
Metadata, transcripts where available, thumbnails, hashes, manifests.
Direct write into your bucket + delivery report and audit trail.
Teams that need YouTube video data delivered into cloud storage with repeatability and governance.
You need stable manifests, predictable delivery into buckets, and low operational overhead for dataset refreshes.
You want direct cloud handoff, consistent directory layout, and a clean schema for downstream pipelines.
You need video + metadata + transcripts where available delivered at scale for training, pretraining, or fine-tuning.
You need transcripts where available, optional enrichment, and repeatable delivery for evaluation sets.
A few ways AI teams typically define sources and refresh cadence.
Bulk collections from a known set of video URLs for training or audit-ready evaluation datasets.
Approved channels and allow-lists to keep datasets aligned with sourcing policy.
Recurring delivery for evaluation sets and monitoring workflows (scope and cadence defined up front).
Rule-based sourcing aligned with your acceptable-use posture and internal dataset governance.
Different workflows require different delivery patterns and controls.
Large deliveries with consistent manifests and hashing for reproducible training runs.
Stable schema and delivery reports so evaluation can be compared across time and iterations.
Recurring ingestion for watch lists with predictable cadence and direct bucket delivery.
Designed for downstream pipelines: stable schema, easy partitioning, and cloud-native handoff.
One record per video with fields your pipelines can rely on. Custom schemas are available for larger plans.
We deliver into your S3/GCS/Azure bucket. You control credentials and retention policy.
Yes. Delivery into your storage is the default. We scope access and directory layout during the brief.
We deliver captions/transcripts where available. Additional enrichment can be scoped for larger workloads.
Yes for Scale and Enterprise. We confirm schema before delivery starts.
Yes. Watch lists and recurring deliveries are available in Growth, Scale, and Enterprise plans.
We scope acceptable-use posture and sourcing controls up front and can support procurement workflows on larger engagements.
Scope sources, outputs, and capacity with a 20-minute walkthrough.