Data Ingestion Pipeline
500+ episodes/hr via API, S3, or fleet streaming.
- Auto schema validation
- Timestamp sync checks
The Complete Operating System for Robot Learning
One platform for the entire robot learning lifecycle — data collection, training, simulation, fleet deployment, safety validation, and enterprise ops.
Three Problems Every Robot Learning Team Hits
40%
of engineer time lost to data plumbing
Data Scattered Across Drives
Episodes live on laptops, NAS drives, and random S3 buckets. Finding a specific failure takes hours, and data organization leaves when researchers leave.
Weeks
spent re-collecting data for undiagnosed failures
Cannot See Why a Policy Failed
Without frame-level replay linked to joint states, debugging is guesswork. Teams re-collect data for failures they cannot precisely diagnose.
v6 vs v7?
no evidence to compare policy versions
No Systematic Way to Improve
Without experiment tracking and regression testing, every release is a leap of faith. Teams oscillate between versions without confidence.
Read our technical deep-dive: Robot Time Fabric →
Technical Architecture
Five modular stages sharing a unified data model. Each operates independently.
1
Ingest
500+ episodes/hr
- Upload API, S3/GCS sync
- Schema validation
- Auto metadata extraction
2
Annotate
Label & tag episodes
- Language instructions
- Keyframe markers
- COCO/VIA export
3
Train
GPU clusters or own compute
- LeRobot & HF native
- Auto checkpointing
- Experiment comparison
4
Version
Model registry & audit trail
- Dataset lineage
- Dev/staging/prod promotion
- ONNX & TorchScript export
5
Deploy
Closed-loop feedback
- Real-time monitoring
- Auto failure mining
- Performance alerts
86+ Integrated Tools
Platform Capabilities
Six domains covering every stage of the robot learning lifecycle.
Collect & Annotate
Annotation Studio
Label episodes with instructions, keyframes, and tags.
- Batch annotation workflows
- COCO/VIA/JSON export
Data Quality Scoring
Auto-flag jitter, frame drops, and calibration drift.
- Per-episode quality metrics
- Quality dashboards
- Camera-action temporal offset & cross-stream sync (<5 ms)
- Jitter histograms & per-episode timing health score
Episode Browser & Replay
Frame-level replay with synced joints and cameras.
- Scrub to exact failure frame
- Filter by task/robot/date
Train & Evaluate
Model Registry
Version models with full dataset and config lineage.
- Dev/staging/prod promotion
- ONNX & TorchScript export
Policy Pipeline
End-to-end from dataset curation to deployment.
- Auto-retrain on failure thresholds
- LeRobot & HF native
VLA Paradigm Lab
Benchmark ACT, Diffusion Policy, Octo, RT-2, OpenVLA.
- Side-by-side evaluation
- Per-task architecture ranking
Training Job Management
Track hyperparameters, curves, and utilization.
- Your compute or SVRC GPUs
- Auto checkpointing
Simulate & Generate
World Models
Generate synthetic scenarios from learned physics models.
- Policy robustness testing
- Physics-consistent augmentation
World Studio
Drag-and-drop 3D scene editor for simulations.
- Export to MuJoCo/Isaac Sim
- Physics property configuration
Text-to-3D Generation
Describe scenes in natural language, generate 3D environments.
- Scale without manual assets
- Direct simulation integration
Robotics & AGV Sim
Validate policies in simulation before real-world deployment.
- AGV path planning sim
- Fleet logistics simulation
Deploy & Operate
Fleet Management
Monitor all robots across facilities from one dashboard.
- Push policy updates to fleets
- Role-based facility access
Mission Control
Schedule, monitor, and manage robot missions in real time.
- Queue management & priority
- Auto fallback handling
Teleoperation Hub
Low-latency remote control with force feedback and VR support.
- Auto-captured as training data
- Glove, pendant, leader-follower
Real-Time Observability
Live dashboards for torques, latency, and success rates.
- Configurable alerts
- Grafana/Datadog export
Safety & Validation
Validation Hub
ODD definitions, FMEA worksheets, and safety case templates.
- Link requirements to test evidence
- Traceable hazard-to-evidence chain
Failure Mining & Replay
Auto-flag anomalous episodes and cluster by root cause.
- Force spikes & gripper mismatches
- One-click failure replay
Anomaly Detection
ML-based detection of distribution shift and trajectory anomalies.
- Early warning before failures
- Configurable per robot/task
Performance Engineering
Benchmark cycle times and A/B test policy versions.
- Bottleneck identification
- Quantify every model update
Enterprise Operations
Billing & Usage
Per-team usage tracking with budget alerts.
- Cost allocation tags
- Real-time compute metering
Service Tickets & Parts
Maintenance tickets linked to robots and failure reports.
- Parts inventory & reorder alerts
- Mean-time-to-repair tracking
Maintenance Logs
Full history: calibrations, parts, firmware, inspections.
- Preventive maintenance scheduling
- Compliance audit export
Knowledge Base & Playbooks
Runbooks, troubleshooting guides, and best practices.
- Searchable across your org
- Faster team onboarding
How Fearless Fits in Your Stack
The operating system layer between your hardware, AI models, and deployed fleet. It connects every piece into a single closed loop.
Hardware
Arms, humanoids, AGVs
→
Arms, humanoids, AGVs
Collect & Annotate
Teleop, autonomous, simulation
→
Teleop, autonomous, simulation
Fearless Platform
86+ tools across 6 domains
→
86+ tools across 6 domains
Train & Simulate
VLA, world models, LeRobot
→
VLA, world models, LeRobot
Deploy & Validate
Fleet ops, safety, observability
↶
Fleet ops, safety, observability
Every failure in production becomes a data point for the next training cycle — the closed loop that separates improving teams from plateauing ones.
Supported Data Formats
No conversion scripts required for standard formats. Custom formats supported through a pluggable parser API.
| Format | Use Case | Support |
|---|---|---|
| HDF5 | ACT, ALOHA, imitation learning | |
| RLDS | DeepMind RT-X, Open X-Embodiment | |
| LeRobot Parquet | Hugging Face LeRobot, dataset sharing | |
| MP4 + JSON | Video with sidecar metadata | |
| ROS Bag | ROS1/ROS2 recordings | |
| Custom | Proprietary via pluggable parser API |
Integrations & SDK
Three integration paths into your existing stack.
Bridge
ROS2 Bridge
Lightweight ROS2 node streaming topics directly to Fearless. YAML config, auto episode segmentation.
pip install fearless-ros2-bridge
SDK
Python SDK
Full programmatic access: upload, create datasets, trigger evals, manage fleets. Type-annotated, async-compatible.
pip install fearless-sdk
API
REST API
OpenAPI 3.1 covering all 86+ operations. TypeScript SDK also available. 1K req/min (Startup), unlimited (Enterprise).
Docs: developers/
How Fearless Compares
Purpose-built for robot learning data. Not repurposed ML tooling.
| Capability | Fearless | Custom Scripts | W&B / MLflow | Scale AI |
|---|---|---|---|---|
| Robot episode replay | ||||
| HDF5 / RLDS / LeRobot native | ||||
| Failure mining & anomaly detection | ||||
| Policy evaluation (ACT, DP, VLA) | ||||
| Fleet deployment monitoring | ||||
| Dataset versioning + hardware lineage | ||||
| Self-hosted / air-gapped |
Built-in Partial / manual Not supported
Technical Specifications
API & SDKs
- OpenAPI 3.1 REST specification
- Python & TypeScript SDKs
- 1K req/min (Startup), unlimited (Enterprise)
- Webhook and event-stream support
VLA & Model Support
- ACT, Diffusion Policy, Octo, RT-2, OpenVLA
- World model inference for synthetic data
- ONNX, TorchScript, native format export
- Simulation-in-the-loop evaluation
Simulation
- World Studio 3D scene editor
- Text-to-3D generation
- MuJoCo, Isaac Sim, USD export
- AGV logistics simulation
Deployment
- Cloud: US-West & EU, 99.9% SLA
- Self-host: Docker + Kubernetes (Helm)
- Air-gapped for defense/regulated
- Min: 8-core, 32 GB RAM, GPU recommended
Security
- AES-256 at rest, TLS 1.3 in transit
- Logical tenant isolation
- GDPR-compliant, US & EU residency
- SOC 2 Type II audit in progress
Export & Portability
- HDF5, RLDS, LeRobot format export
- Direct Hugging Face Hub push
- No vendor lock-in, open formats
- Full data download within 90 days
Who Fearless Is Built For
Research Labs
Versioned datasets, reproducible evaluations, and a single home for your lab's data that outlasts any individual researcher.
Robotics Startups
Stop spending 40% of engineering time on data pipeline plumbing. Fearless closes the collect-train-deploy loop so you can focus on the product.
Enterprise Robotics Teams
Fleet-wide policy performance visibility, systematic failure analysis, and an auditable trail from data collection through deployment.
Compatible Hardware
Supported Hardware
Works with any robot that produces standard data formats. Buy compatible hardware from our store.
OpenArm
7-DOF research arm
Buy →
Franka Research 3
Precision manipulator
Buy →UR
UR5e / UR10e
Collaborative arms
Buy →
Unitree G1
Humanoid platform
Buy →
Unitree Go2
Quadruped robot
Buy →AP
AgileX Piper
Leader-follower arm
Buy →
Mobile ALOHA
Bimanual mobile
Buy →SO
SO-100
Entry-level arm
Buy →Fearless works with any robot that produces HDF5, RLDS, LeRobot, ROS Bag, or MP4+JSON. Browse full catalog →
Frequently Asked Questions
Is my data private?
Yes. Encrypted at rest (AES-256) and in transit (TLS 1.3), logically isolated, never used for SVRC training or shared with third parties. Enterprise can self-host for full data sovereignty. GDPR-compliant with US and EU hosting.
What robots does it support?
Fearless is robot-agnostic. Any hardware producing standard formats (HDF5, RLDS, LeRobot, ROS Bag, MP4+JSON) works. Tested with OpenArm, Franka, UR5e/UR10e, Unitree G1/Go2, AgileX Piper, Mobile ALOHA, SO-100, and more. Browse hardware.
Can I self-host?
Yes, on Enterprise. Docker containers with Kubernetes (Helm chart provided). Min: 8-core CPU, 32 GB RAM, GPU recommended. Air-gapped deployments supported.
How does it integrate with LeRobot?
Native LeRobot Parquet read/write. Push curated datasets to Hugging Face Hub. Retraining triggers invoke LeRobot scripts on your compute or SVRC GPUs. Eval results flow back automatically.
Is there an API?
Yes. OpenAPI 3.1 covering all operations. Python and TypeScript SDKs. Included in Startup and Enterprise plans.
How much data can I store?
Research: 500 GB. Startup: 5 TB. Enterprise: unlimited. A typical ALOHA episode (3 cameras, 50 Hz, 30s) is ~150 MB, so 500 GB holds ~3,300 episodes.
Can I import ROS bag files?
Yes. Automatic topic extraction and conversion on import. Specify topic-to-field mapping in config.
How does the ROS2 bridge work?
Lightweight ROS2 node subscribing to robot topics, streaming to Fearless. YAML config, auto episode segmentation. Supports Humble and Iron. pip install fearless-ros2-bridge
What training frameworks are supported?
Native LeRobot and Hugging Face integration. Custom frameworks via standard launcher API — provide a training script, Fearless handles orchestration and tracking.
Can I use Fearless with SVRC data collection services?
Yes. Enterprise campaigns include platform access. Data flows directly into your workspace with full metadata and QA reports.
Related Resources
Data Collection Services
Managed teleoperation campaigns delivering training-ready datasets into Fearless.
Hardware Catalog
OpenArm, DK1, UR series, and more. Purchase or lease hardware.
Data Format Guide
Technical deep dive on HDF5, RLDS, and LeRobot with conversion examples.
All Guides
Data collection, teleoperation setup, policy training, and deployment.