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SyncRobotic
Loading capture rig
Physical AI infrastructure

Capture reality. Adapt the model. Ship to the edge.

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

  • PyTorch
  • ROS
  • Apple ARKit
  • MCAP
  • HDF5
  • Apache-2.0
The loop

One autonomous loop, from capture to the edge

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.

  1. 01

    Capture

    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 + VLMhub
  2. 02

    Adapt

    A self-driving fine-tuning agent inspects the dataset, picks a QLoRA recipe, supervises training and auto-evaluates a base-vs-tuned verdict.

    TuneKit
  3. 03

    Deploy

    Ship 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-prem

Two products, one vertically integrated stack

Each replaces a manual, expert-gated workflow with an autonomous pipeline. Run them together, or adopt either on its own.

Capture & dataset engine

Turn an iPhone Pro into an egocentric robot-data factory

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.

  • Crash-safe atomic ingestion that survives iOS thermal-throttle frame drops
  • Hand-pose tracking dispatched autonomously as a background worker
  • Quality-gating with blur and tracking-confidence scoring, accept or retry
  • Timestamp-indexed seeking, exported as PyTorch-ready episodes
Explore VLM + VLMhub
recording.mcapros2 · cdr
rgb
15 Hz
depth
15 Hz
pose
60 Hz
imu
100 Hz

synced on header.stamp · depth ±0.1s · imu ±0.05s

Fine-tuning & PII gateway

A self-driving ML engineer for private small models

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.

  • No-code QLoRA and LoRA training on your own data, real not simulated
  • Base-vs-tuned evaluation playground for non-ML users
  • On-prem gateway redacts or blocks PII before any cloud query leaves
  • A self-driving agent owns the whole train-to-deploy loop
Explore TuneKit
Inbound query

Patient (MRN ) reports chest pain since .

On-prem filter · 3 entities blocked
Sent to cloud AI

Patient reports chest pain. Summarize likely differentials and next diagnostic steps.

Why teams self-host on SyncRobotic

A privacy-first stack for regulated, data-sensitive work, where the substrate that trains your agents never has to leave your control.

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.

Robotic manipulation in an industrial workcell

The data layer for Physical AI

From bench-task demonstrations to warehouse manipulation, real human demos become deployment-grade models.

Agent-driven, zero human touch

Every recording and every training run is a job an agent drives to completion, self-healing on failure.

Open formats, no lock-in

Standard MCAP, ROS 2 and PyTorch throughout. Your datasets and models stay portable and yours.

Cloud-capable, never cloud-required

Use external AI when you want to, behind a gateway that filters sensitive data first. Or stay fully on-device.

Built for regulated, physical work

The data and deployment layer for embodied automation across the industries where demonstrations are valuable and data is sensitive.

Scientist working at a laboratory bench

Biotech

Lab automation and bench-task demonstrations captured, then replayed as robot skills.

Robotic arm in a warehouse fulfillment line

Logistics

Warehouse pick-and-place and manipulation, learned from real human picking.

Clinician in a modern care environment

Healthcare

Clinical and care-task robotics, plus PHI-safe model adaptation on clinical notes.

Lab automationWarehouse manipulationCare-task roboticsBench-task demosContract redactionClinical-note extractionOn-device RAGTool-using agents

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.

Bring your robot-data pipeline in-house

Tell us about your capture program or private-model project. We will walk you through a self-hosted deployment end to end.