Video-First Training Data Infrastructure
The Data Engine for Frontier AI
PB-scale video collection, automated cleaning, world-model synthetic data, and end-to-end RLHF/SFT services.
- PB
scale video ingestion
- TB/day
processing throughput
- 24/7
pipeline availability
Three Pillars
World-class capability for data-intensive AI systems.
Pre-training Data Engine
Foundational data layer for frontier LLM and VLM teams.
- Video-first multimodal training data across video, image, audio, and text.
- Automated scraping, denoising, deduplication, and safety filtering.
- Video slicing, scene classification, action recognition, and quality stratification.
- Auto captioning, VQA pairs, and normalized scene metadata.
- Continuous pipeline scaling with minimal manual operations.
Large-scale video pretrainingMultimodal alignmentAuto captioningDataloader pipeline
RLHF & Preference Data
Human feedback pipelines for alignment, preference, and safety.
- Pairwise preferences for video-centric model behavior.
- Trajectory correction for embodied and robotics workflows.
- Video Q&A, task comprehension labels, and action outcome scoring.
- Safety, refusal, and adversarial stress-test datasets.
- High-density human-in-the-loop validation platform.
RLHFRLAIFPreference optimizationSafety dataTrajectory correction
Synthetic & World-Model Data
Growth layer for embodied intelligence and video-language models.
- World-model generated high-fidelity synthetic video and scenes.
- 3DGS and NeRF reconstructions with multi-view capture.
- Automated variation across weather, lighting, tasks, and actors.
- Synthetic trajectories, virtual teleoperation, and QA loops.
- Hybrid datasets blending real-world and synthetic observations.
World modelSynthetic video3DGSNeRFMixed-reality training data
Solutions
From foundation model pretraining to embodied intelligence.
Deliver diverse, high-quality video corpora with structured metadata for multimodal reasoning.
- Massive video dataset curation
- Auto captioning and VQA metadata
- Scene taxonomy and event recognition
- Video-text and audio-text alignment
Improves situational understanding, action reasoning, and open-world generalization.
Capture robot-view actions, failures, and corrections to accelerate real-world transfer.
- Egocentric robot-view recordings
- Synchronized multi-view sessions
- Failure libraries and recovery traces
- Trajectory correction and benchmark evaluation
Improves grasping, locomotion, manipulation, and policy robustness.
End-to-end pipeline from collection to reward modeling, SFT support, and evaluation.
- Preference and safety datasets
- Reward model training support
- Optional aligned model iteration
- Automated evaluation reporting
Fast path to safer, more controllable model behavior.
Infrastructure & Trust
Built for reliable, compliant, high-throughput delivery.
KuAiData operates global data operations and automation layers with enterprise-grade security controls.
- Distributed multi-country data acquisition teams.
- TB/day bandwidth processing clusters.
- Automated cleaning and normalization pipelines.
- GDPR-ready compliance and privacy controls.
- High-availability delivery via OSS, S3, CDN, and edge nodes.
About KuAiData
Build the most powerful data infrastructure for frontier AI.
KuAiData is a frontier data company specializing in video-first training data for advanced AI systems.
We specialize in video-first data engines that combine acquisition, cleaning, alignment, and synthetic generation in one scalable operating model.
Our teams support frontier AI builders who need dense, trustworthy data for rapid model iteration.