Privacy-first, fully self-hosted
No FPV Labs cloud, no API keys, no auth. The whole pipeline runs offline, so confidential data never leaves the building.
SyncRobotic turns real human demonstrations into deployed, domain-specialized models. Privacy-first, self-hosted and agent-driven from capture to deployment.
Built on open formats, not a vendor lock-in
Each stage replaces a manual, expert-gated workflow with an agent that drives the job to completion on its own. Together they form a self-hosted alternative to cloud-dependent AI platforms.
Record synchronized RGB, depth, pose and IMU from real human demonstrations. An autonomous data-engine ingests, tracks hand pose and quality-gates every recording.
VLM + VLMhubA self-driving fine-tuning agent inspects the dataset, picks a QLoRA recipe, supervises training and auto-evaluates a base-vs-tuned verdict.
TuneKitShip the specialized model as a private, tool-using agent that runs on-device or behind a gateway that strips sensitive data before it ever leaves the building.
On-device & on-premEach replaces a manual, expert-gated workflow with an autonomous pipeline. Run them together, or adopt either on its own.
Record synchronized RGB, LiDAR depth, 6-DoF pose and IMU into one open MCAP file. VLMhub ingests, hand-pose tracks, quality-gates and exports PyTorch-ready datasets with zero human touch.
synced on header.stamp · depth ±0.1s · imu ±0.05s
No-code QLoRA and LoRA fine-tuning on your own data, plus an on-prem gateway that strips or blocks sensitive data before any query leaves the building. Real training, fully on-premise.
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A privacy-first stack for regulated, data-sensitive work, where the substrate that trains your agents never has to leave your control.
No FPV Labs cloud, no API keys, no auth. The whole pipeline runs offline, so confidential data never leaves the building.
From bench-task demonstrations to warehouse manipulation, real human demos become deployment-grade models.
Every recording and every training run is a job an agent drives to completion, self-healing on failure.
Standard MCAP, ROS 2 and PyTorch throughout. Your datasets and models stay portable and yours.
Use external AI when you want to, behind a gateway that filters sensitive data first. Or stay fully on-device.
The data and deployment layer for embodied automation across the industries where demonstrations are valuable and data is sensitive.
Your demonstrations, your datasets, your models. None of it has to leave the building.
SyncRobotic is built for organizations that cannot ship raw data to a third party. Every stage runs on hardware you control, under licenses you can white-label.
Tell us about your capture program or private-model project. We will walk you through a self-hosted deployment end to end.