Company Profile

Building the human layer.

We scale real-world data capture through precision teleoperation and a global workforce built for robotics.

Orbital CoreLive
Signal Sync
CALIBRATED
98.7%
LATENCY
12ms
Operators Online
620+
Across 3 hubs
Active Programs
48
Robotics & logistics
Data Precision
99.2%
Quality compliance
Operating Principles

Professional rigor with human-scale empathy.

We combine world-class operator training, systemized QA, and safety-first governance to deliver reliable data at enterprise scale.

Program Integrity

Every workflow is governed by repeatable protocols, calibrated annotations, and third-party audits.

Global Sourcing

Distributed teleoperators with localized teams ensure coverage across time zones and domains.

Model Alignment

We co-design datasets with model teams to keep ground truth, training, and inference aligned.

Signal Density

Captures with multi-sensor telemetry to maximize signal per operator minute.

Human Labor at Scale.

Rapid scaling of our teleoperation workforce ensures a continuous, high-volume pipeline of structured kinetic data.

01. WORKFORCE PROJECTION
500+ workers
In India by Q3 2026
02. DATA VOLUME TARGET
500k+ hours
High-fidelity kinetic recordings
03. UNIT ECONOMICS
$10/hr
Average acquisition cost
LOGISTICS.TELEMETRY
LATENCY
12ms
NODES
42
UPTIME
99.9%
THROUGHPUT
8.4TB/s
Hardware Specifications

Custom Sensor Hardware.

Proprietary capture rigs engineered for zero-loss human kinematic translation. Every joint, force, and visual field is recorded with absolute precision.

Head-Mounted Cameras

Head-Mounted Cameras

Operators wear head-mounted cameras synced with the sensor gloves, perfectly matching visual input with physical exertion.

Custom 5-Finger Gloves

Custom 5-Finger Gloves

We designed and built custom gloves to capture ground-truth joint angles and contact forces directly at 5-DOF.

Multi-modal Datasets

Multi-Modal Integration

Vision, action, and force fused into one holistic dataset. Retargetable to lower DOF hardware like standard grippers.

Operational Film

Teleoperation in the wild.

Watch real-time annotation capture and multi-sensor synchronization in action. This reel highlights how our operators convert noisy environments into structured training data.

CAPTURE MODE
Multi-perspective
SYNC LAYER
Sub-20ms
Data Matrix Visualization
Protocol.Selection

Task Selection Matrix.

We don't just collect data; we engineer it. Our systematic approach ensures complete coverage of operational parameters, focusing human effort precisely where synthetic data falls short.

X

EDGE-CASE IDENTIFICATION

Algorithmic targeting of sparse-data domains to intentionally train outlier scenarios.

Y

DIVERSITY INJECTION

Systematic variation of environmental, lighting, and object parameters to ensure robust generalization.

Z

COVERAGE VALIDATION

Real-time mapping of collected data against theoretical requirement matrices.

Trajectory

Designed to scale with the robotics industry.

Our roadmap balances rigorous data governance with rapid expansion into new modalities, industries, and deployment geographies.

2024

Factory launch

Established baseline teleoperation lab and first robotics pilots.

2025

Multi-modal expansion

Rolled out synchronized vision, tactile, and proprioceptive capture.

2026

Global operator grid

Scaled to three hubs with 24/7 coverage and QA automation.

2027

Enterprise programs

Operational readiness for regulated robotics and logistics partners.

Leadership

Operators, engineers, and mission builders.

A cross-functional team spanning autonomy research, enterprise operations, and workforce design.

Yash Sinha

Yash Sinha

Founder

Marco Singh

Marco Singh

Head of Data Programs

Elena Rivera

Elena Rivera

Director of QA Systems