File Transfer Built for ML & Data Teams
Client uploads go directly to your cloud storage
Clean Interface | Unlimited Sizes | Zero Retention
Your Current File Transfer Workflow
For ml & data teams, file transfer shouldn't be this hard
ML training data gets stuck in transfer services, causing pipeline delays
Intermediate storage violates GDPR compliance for EU data
Manual download and S3 upload wastes engineering time
No automated triggering when data arrives
External researchers/partners can't easily upload to your infrastructure
How BeamUp Helps ML & Data Teams
BeamUp provides a clean upload portal that sends files directly to your cloud storage. Here's why ml & data teams choose BeamUp:
Training data uploads directly to S3 or Google Drive - triggers pipelines immediately
Zero retention means GDPR/HIPAA compliance by design
S3 events automatically start ETL and training workflows
External contributors upload without access to your infrastructure
Presigned URLs provide secure, time-limited access
Built for ML & Data Teams Workflows
For ml & data teams, file transfer shouldn't be this hard
ML Training Data Collection
Research partners upload datasets directly to your S3 bucket. S3 events trigger preprocessing and training pipelines automatically.
Data Labeling Input
Labelers upload annotated datasets. Files arrive in your pipeline-ready folder structure.
Model Evaluation Data
External evaluators submit test data. Zero retention ensures no compliance issues.
Fine-tuning Datasets
Domain experts upload specialized training data without needing cloud access.
Workflow Comparison
For ml & data teams, file transfer shouldn't be this hard
Without BeamUp
Partner uploads to service → You get notification → You download → You upload to S3 → You trigger pipeline → Pipeline starts
With BeamUp
Partner uploads to your portal → Files land in S3 → S3 event triggers pipeline → Pipeline starts automatically
Frequently Asked Questions
How does this automate ML pipelines?
When files land in your S3 or Google Drive via BeamUp, you can configure cloud events that immediately trigger your preprocessing, ETL, or training pipelines. No manual intervention needed.
Is this GDPR compliant for ML data?
Yes. BeamUp's zero-retention architecture means we never store file content. Data flows directly from the uploader's browser to your cloud storage in your chosen region.
Can external researchers upload to our S3?
Yes. Using presigned URLs, external contributors can upload directly to your S3 bucket without AWS credentials or IAM access. They only have permission to upload, not to read or modify existing data.
What's the maximum dataset size?
Unlimited. Since files go directly to your S3 or Google Drive, you're only limited by your cloud storage capacity. Upload 1TB datasets as easily as 1GB files.
Ready to Transform Your File Transfer?
Client uploads go directly to your cloud storage
Clean Interface | Unlimited Sizes | Zero Retention
Start Free - Automate Your Data Pipeline