From Real-World Collection to Model-Ready Data.
We offer specialized technical capabilities across the entire data lifecycle — transforming complex human environment interactions into structured, high-value data assets.
Egocentric Data Collection
Capturing real-world information from first-person perspectives to create meaningful, human-centered datasets.
Multimodal Sensor Rigging
Synchronized recording using head-mounted visual sensors, gaze-tracking, spatial audio, and inertial measurement units (IMUs).
In-Situ Field Capture
In-the-wild collection protocols designed for complex physical tasks, industrial environments, and daily living activities.
Privacy-First Ingestion
Real-time edge blurring, facial redaction, and audio obfuscation preserving subject privacy prior to cloud storage.
Data Structuring
Organizing and preparing collected information into structured datasets suitable for downstream analysis and development.
Temporal Alignment & Synchronization
Sub-millisecond cross-channel alignment between high-framerate video feeds, IMU signals, and gazepoint vectors.
Semantic & Spatial Taxonomy Tagging
Hierarchical object labeling, hand-object interaction bounding, state transition marking, and activity Segmentation.
Quality & Verification Audits
Rigorous programmatic validation ensuring zero frame drop, schema consistency, and sensor calibration compliance.
Data Modeling
Preparing data to support modeling, research, analysis, and intelligent systems.
Tensor & Matrix Formatting
Standardized representations compatible with PyTorch, TensorFlow, Jax, and modern transformer architectures.
Benchmark Dataset Creation
Curated evaluation sets with standardized splits (train/val/test) for benchmarking spatial awareness and action prediction.
Model Evaluation Support
Consultative analysis helping research teams diagnose failure modes and fine-tune representations against ground truth.
Need custom data capabilities?
Discuss your dataset requirements with our engineering team.