Rivorix AIHow Rivorix Works
A streamlined pipeline transforming raw footage into high-quality training datasets.
1. Upload Footage
Drag-and-drop video uploads.
Secure, fast, and reliable.
2. Evaluation
Multi-phase pipeline checks for quality, safety, and robotics readiness.
3. Admin Insights
Gain oversight with comprehensive dashboards. Filter by quality tiers and project status.
Organize Your Data Collections
Create projects, invite team members, and manage permissions.
Rivorix scales with your organization.
Plastic Line
Plastic manufacturing training dataset 1.
Construction
Battersea Powerstation Phase E.
Create New Project
Start a new data collection effort
5-Phase Evaluation Pipeline
Every uploaded video goes through a rigorous assessment.
We filter out noise so your engineers get only the best training data.
Pipeline Metrics
Phase 1: Gatekeeper
Catch bad footage before spending GPU/LLM time.
Phase 2: Quality Tier Scoring
Scoring 1–5 mapped to Gold, Silver, Bronze, Marginal, or Reject.
Phase 3: Robotics Readiness
VLM Verdict: Can a robot learn from this clip?
Phase 4: Interaction Check
Validating HMI/Touchscreen interactions with IoU checks.
Phase 5: Final Classification
Consolidated verdict for dataset inclusion.
Admin Dashboard
Overview of all video evaluations
Total
1,248
Ideal
856
Borderline
312
Reject
80
| Video Name | Classification | Rating | Date |
|---|---|---|---|
| training_demo_01.mp4 | ideal | 4.8 | Oct 24 |
| hand_assembly_v2.mp4 | borderline | 3.2 | Oct 23 |
| safety_test_fail.mp4 | reject | 1.5 | Oct 22 |
| robot_arm_calib.mp4 | ideal | 4.9 | Oct 21 |
Global Data Oversight
Rivorix gives your ops team a centralized command center. Monitor dataset health, catch systematic quality issues, and export training-ready manifests in one click.
Unified Evaluation Log
Search and filter across every project to find specific edge cases or failure modes.
Quality Classification
Instantly spot Ideal vs Rejected clips based on your custom rubric.
Quality Promise
Trusted, robotics-grade data backed by layered governance.
Automated Gemini scoring + human QA + detailed telemetry keep your datasets safe, explainable, and repeatable.