We are building the standardized multimodal data hub bridging frontier Embodied AI teams with precision teleoperation workstations worldwide. High-density Ground Truth trajectories across 3C assembly, lab automation, and semiconductor cleanroom handling.
Standardized demonstration packages spanning 3C micro-assembly, laboratory automation, and semiconductor cleanroom manipulation.
| Task Spec & Identifier | Industry Domain | Multi-Modal Channels | Status | Action |
|---|---|---|---|---|
|
JST-XH 4-Pin Precision Mating
SPEC-JST-1250 • 3C Electronics
|
3C Micro-Assembly | Dual Wrist RGB-D + Joint Effort + Piezo | Alpha Samples Ready | |
|
Silicon Wafer Vacuum Wand Cassette Transfer
SPEC-WAF-0200 • Semiconductor Cleanroom
|
Semiconductor | Top Context RGB + Wrist D405 + Vacuum Pressure F/T | Alpha Samples Ready | |
|
Micro-Pipette 96-Well Plate Liquid Handling
SPEC-PIP-0096 • Bio Lab Automation
|
Laboratory Automation | Dual Wrist RGB-D + Plunger Displacement + Tip F/T | Batch in Progress | |
|
FPC 24-Pin Ribbon & ZIF Latching
SPEC-FPC-0500 • Deformable Manipulation
|
3C Deformable Flex | Top 1080p + Dual D405 + 6-DoF F/T | Batch in Progress | |
|
JEDEC IC Tray Micro-Die Pick & Sorter
SPEC-DIE-0050 • Semiconductor Packaging
|
Semiconductor | Telecentric Optical + Dual Micro-Nozzle | Custom SOW Open | |
|
Cryovial Micro-Screw Decapping & Rack Sorting
SPEC-VIAL-0020 • Bio Sample Prep
|
Laboratory Automation | Dual Wrist RGB-D + Continuous Torque Feedback | Custom SOW Open | |
|
DDR5 Server DIMM Dual-Lever Insertion
BOUNTY-DIMM-DDR5 • Server Hardware
|
Server Computing | Dual Arm Joint Kinematics + Contact F/T | Open Bounty |
Every demonstration episode is verified and packaged for zero-overhead batch loading directly into Diffusion Policy, ACT, RT-X, and OpenVLA architectures.
# OverFit Standardized Multi-Modal Episode Tensor { "action": torch.Size([T, 14]), # Dual-arm target (7-DoF Left + 7-DoF Right) in rad "observation.state.joint_positions": torch.Size([T, 14]), # Calibrated absolute joint telemetry "observation.state.joint_velocities": torch.Size([T, 14]),# Angular velocities (rad/s) "observation.state.effort": torch.Size([T, 14]), # Motor current & contact torque (Nm) "observation.images.wrist_left": torch.Size([T, 3, 480, 640]), # Eye-in-hand RGB stream (D405 Macro) "observation.images.wrist_right": torch.Size([T, 3, 480, 640]), # Tool-tip mating focus camera (RGB) "observation.images.top_head": torch.Size([T, 3, 480, 640]), # Workspace context camera (RGB) "observation.tactile.piezo_pressure": torch.Size([T, 2, 64]), # Fingertip tactile matrix "observation.ft_wrench": torch.Size([T, 12]), # 6-Axis F/T Sensor [Fx..Fz, Tx..Tz] "episode_metadata": { "spec_id": "SPEC-JST-1250", "teleop_rig": "AgileX-PiPER-Dual-Arm-v2", "auto_qa_status": "PASSED", "jerk_smoothness_score": 0.968 } }
Capturing high-entropy physical contact dynamics across high-value industrial and scientific operations.
JST pin mating, FPC flex routing, micro-screws (M1.4-M2.5), and smartphone/wearable precision component assembly.
Silicon wafer cassette transfer, vacuum wand handling, IC tray sorting, probe card alignment, and FOUP door latching.
Micro-pipetting 96-well plates, cryovial decapping/capping, petri dish streaking, syringe aspiration, and sample rack sorting.
DDR5 DIMM dual-lever levering, PCIe card retention clips, optical fiber LC/SC connectors, and backplane cable harnessing.
How OverFit eliminates the contact mechanics Reality Gap, agency markups, and capex bottlenecks compared to traditional data pipelines.
| Evaluation Dimension | Traditional Data Vendors | In-House Captive Labs | Sim-to-Real Simulators |
OverFit Data Hub
OUR EDGE
|
|---|---|---|---|---|
| Precision & Contact Dynamics | >5mm coarse actions (folding, cooking) | Varies (extremely slow to scale) | Severe contact physics Reality Gap | 🟢 0.1mm–0.5mm Ground Truth Micro-Assembly |
| Multi-Modal Sensor Telemetry | Single RGB-D + generic joint angles | High capex custom rig setup per lab | Zero true acoustic / current transients | 🟢 Dual-wrist D405 + 14-DoF Torque + Piezo Acoustic Wave |
| QA & Fraud Screening | Manual visual spot-checking | Costly manual engineer review | Simulated without hardware noise & wear | 🟢 Auto-QA: Inverse Dynamics + 3~8Hz Human Tremor |
| Scaling & Sourcing | Geographically fixed facilities | Bottlenecked by owned robot capex | Infinite generation, non-convergent on real rigs | 🟢 On-demand global open-hardware network |
| Unit Economics & Payout | 70%~80% Middleman extraction | High fixed technician salaries & Capex | High cloud GPU compute cost | 🟢 82%~88% Transparent seller payout + 65% Royalties |
| Model-Ready Ingestion | Messy proprietary formats, manual ETL | Custom internal pipelines | Simulator log files | 🟢 Native LeRobot v2, PyTorch Tensor & HDF5 |
Hands-on collaboration for AI teams and high-yield data bounties for hardware operators.
We work directly with foundational model teams to design customized 3D fixtures, sensor setups, and bespoke demonstration batches.
Earn high-margin bounties and lock in early partner benefits as our hardware network expands.
Every trajectory package is verified against statistical kinematic and physiological indicators before payout release.
Evaluates drive currents against theoretical rigid-body inertia, gravity compensation, and friction curves to screen synthetic and anomalous trajectories.
Extracts human teleoperator 3~8Hz closed-loop tactile micro-adjustments during contact phases to filter out scripted replay bots and static loops.
Validates wrist camera optical flow displacement vectors against joint encoder velocity matrices with strict correlation thresholds.
Buyer defines assembly task, generic object CAD, and initiates milestone deposit.
Certified data providers execute multi-view demonstrations with standardized rigs.
Serverless engine validates dynamics, jerk consistency, and packet integrity.
Clean HDF5/LeRobot files delivered to buyer; milestone payout released upon verification.
Whether you are an Embodied AI team needing bespoke micro-assembly trajectories, or a teleoperation group looking to sell high-density data, we'd love to talk.