
Synchronized dataset
Raw recordings, analysis parameters, results, and reports automatically synced to cloud storage with metadata.
Cloud-backed data management for multi-site collaboration
Sync raw recordings, analysis parameters, and results to cloud storage with automatic versioning — access data from any site, recover from hardware failures, and share datasets with collaborators.

Behavioral data lives on the tracking workstation with no automatic backup, no remote access, and no way to share datasets across collaborating sites without manual file transfer via USB drives or email.
ConductVision syncs data to cloud storage automatically after each analysis. Version control tracks changes, access controls limit who can view or modify shared datasets, and any authorized user can access data from any location.

Raw recordings, analysis parameters, results, and reports automatically synced to cloud storage with metadata.

Complete version history of analysis parameters and results — see what changed, when, and by whom.

Generate shareable links to specific datasets with configurable access levels (view, download, analyze).
Multiple sites contribute data to a shared cloud dataset. Standardized analysis parameters ensure consistent results across locations.
Every analysis is automatically backed up to cloud storage. Hardware failure on the tracking workstation does not result in data loss.
PIs, collaborators, and reviewers can access results from any location — no VPN or campus network required.
Share datasets underlying publications via secure links — supporting journal data availability requirements and reproducibility.
| Feature | ConductVision | Typical systems |
|---|---|---|
| Data backup | Automatic cloud sync | Manual backup (if any) |
| Remote access | Any location, any device | Workstation-only |
| Multi-site sharing | Granular access controls | USB drives or email |
| Version control | Full parameter and result history | No versioning |
| Disaster recovery | Automatic, continuous | None or manual |

Role-based user permissions and audit trail designed to support GLP compliance.

Standard CSV/JSON export compatible with any statistical software or analysis pipeline.

Programmatic REST API and Python SDK for pipeline integration and batch processing.
Enable cloud sync and your data is backed up, versioned, and accessible from anywhere.