Upload a full day's recordings in one batch. Concurrent processing handles hundreds of calls simultaneously — with progress tracking and automatic retry for reliability.
50
Files Per Batch
Concurrent
Processing
Auto-Retry
On Failure
How scale capabilities transform your call analytics
Upload up to 50 files per batch via the dashboard or API. Supports all audio formats with automatic normalization.
Celery workers process multiple calls simultaneously. A 200-call batch doesn't take 200x longer — it scales with available workers.
Monitor batch progress in real-time. See items processed, items failed, and estimated completion time.
Select up to 50 files in the dashboard or use the API for larger batches. Drag-and-drop supported.
Files are distributed across Celery workers for concurrent processing. Each call gets the same thorough analysis.
Review results as they complete. Get notified when the entire batch is done via webhook or dashboard.
Upload up to 50 files per batch through the dashboard. API supports even larger batches.
Distributed task processing ensures calls are analyzed in parallel, not sequentially.
Track progress for each file in the batch. See which calls are pending, processing, completed, or failed.
Failed analyses are automatically retried. Transient errors don't require manual re-upload.
Mixed audio formats in a batch? No problem. Files are automatically converted before processing.
Sync entire S3 buckets for automated bulk processing. New recordings are picked up automatically.
Start analyzing 100% of your calls with AI. No manual QA sampling, no inconsistent scoring, no missed insights.