The Data Platform for Physical AI
Scalable infrastructure that understands robotics data natively
Build the data platform every robotics team needs
Why This Matters
Robotics teams waste most of their time on data infrastructure. Every robot generates gigabytes of sensor data per minute, all streaming simultaneously. Teams string together storage solutions that break at scale, write custom pipelines that need constant maintenance, and watch their best engineers debug infrastructure instead of teaching robots new behaviors.
How We Build
We're building from first principles for robotics data. That means native understanding of temporal alignment, coordinate frames, and sensor fusion. Our platform handles the complete data lifecycle: ingestion from heterogeneous sensors, distributed processing at fleet scale, and direct integration with training pipelines. The same infrastructure that today requires dedicated teams will just work out of the box.
Our Vision
When data infrastructure stops being a bottleneck, the entire field accelerates. Instead of every company rebuilding the same infrastructure, they focus on making robots actually useful. Small teams can tackle problems that currently need entire departments. Physical AI is at an inflection point. The companies that win will be the ones with the best models and algorithms, not the biggest infrastructure teams.
The data infrastructure gap
Robotics teams waste months building data infrastructure that should already exist. Unlike web or mobile development, robotics has no standard data stack. Every team rebuilds the same complex pipelines from scratch.
No Industry Standard
Teams build custom data pipelines from scratch, spending months reinventing the same solutions imperfectly.
Fragmented Representations
Data is represented differently in robot logs, storage systems, and training pipelines, requiring custom translation code.
Scale Complexity
What works for small datasets breaks at scale. Robots generate terabytes of multi-modal data daily, overwhelming custom-built infrastructure.
Slowing Innovation
Without proper versioning and traceability, teams spend time debugging pipelines instead of analyzing robot behavior.
Robotics-native data infrastructure
A complete data pipeline from robot sensors to training-ready datasets, handling collection, processing, and retrieval with robotics semantics preserved throughout.
Data Collection
Onboard daemon captures multi-modal sensor streams with robotics-aware buffering, synchronized timestamps, and network-resilient cloud upload.
Cloud Processing
Express complex robotics data transformations in simple, declarative pipelines. Use built-in operations that understand your data semantically or add your own code.
Data Retrieval
Query and stream your data with robotics semantics preserved. Filter by spatial relationships, find similar trajectories, explore synchronized multi-modal sequences.
Complete robotics development lifecycle
Our platform serves every stage from data collection to production deployment.
Inspect & Replay
Visualize and debug robot behavior
Train Models
Build datasets for foundation models
Data Backend
Storage and retrieval for production
Data Exploration
Interactive analysis and insights
Dataset Versioning
Track lineage and changes
Real-time Monitoring
Live telemetry and alerts
Multi-modal Fusion
Combine sensors seamlessly
Annotation & Labeling
Efficient data curation
Quality Validation
Automated checks and filters
Edge-to-Cloud Sync
Resilient data upload
Inspect & Replay
Visualize and debug robot behavior
Train Models
Build datasets for foundation models
Data Backend
Storage and retrieval for production
Data Exploration
Interactive analysis and insights
Dataset Versioning
Track lineage and changes
Real-time Monitoring
Live telemetry and alerts
Multi-modal Fusion
Combine sensors seamlessly
Annotation & Labeling
Efficient data curation
Quality Validation
Automated checks and filters
Edge-to-Cloud Sync
Resilient data upload
Robotics
Manipulation and navigation
Autonomous Vehicles
Self-driving systems
Industrial AI
Manufacturing automation
Drones & UAVs
Aerial robotics
Agriculture
Smart farming solutions
Warehousing
Logistics automation
Medical Robotics
Healthcare applications
Defense Systems
Security and surveillance
Construction
Building automation
Research Labs
Academic and R&D
Robotics
Manipulation and navigation
Autonomous Vehicles
Self-driving systems
Industrial AI
Manufacturing automation
Drones & UAVs
Aerial robotics
Agriculture
Smart farming solutions
Warehousing
Logistics automation
Medical Robotics
Healthcare applications
Defense Systems
Security and surveillance
Construction
Building automation
Research Labs
Academic and R&D
Join the future of robotics infrastructure
We're launching in Q1 2026. Sign up to get early access and help shape the platform that will power the next generation of physical AI systems.