Infinite Data at Scale
Millions of physically accurate scenarios generated on-demand, not in months.
Synthetic Data · Sim2Real · Physical AI
The Synthetic Data Engine for Autonomous Robotics
Train, validate, and deploy robot AI models entirely in high-fidelity simulation. Achieve 10x faster iteration cycles, zero hardware risk, and infinite edge-case coverage.
Zero hardware risk 10× faster iteration Infinite edge cases
obliviqlabs · simulation_runtime LIVE
ep_1858domain_rand: ACTIVEseed: 0x9B42
COLOR_DR:Cyan Core
robot: OpenArm-Dual-v2 · task: bimanual_pick_place
STATE: SCAN & APPROACHIK_SOLVER: OPTIMAL (2x 7-DOF)
99.4% success
Sim2Real Validated
Episodes
1.2M+18%
Sim hrs / GPU
240+12%
Edge cases
38k+9%
Sim2Real gap
2.1%-3%
Training rollout78%
THE BOTTLENECK
There is a huge shortage of robotics data and real-world robotics data is slow, expensive, and dangerous.
SLOW
~6 mo
per new behavior deployed on hardware.
EXPENSIVE
$2–5M
annual data collection cost per robot line.
DANGEROUS
Zero
coverage of rare edge cases — the scenarios that actually break robots in the field.
REAL-WORLD DATA CAPTURE · LAB-BOUND
THE SOLUTION
Simulation-First Robotics
Generate infinite, physically accurate training data entirely in simulation — at a fraction of real-world cost, with zero hardware risk.
Zero Hardware Risk
Train, evaluate, and validate models in the digital twin — no broken robots, no downtime.
10× Faster Development
Iterate on behaviors in hours, not quarters, at a fraction of the cost.
Sim2Real Transfer
Domain-randomized output that closes the gap to real hardware deployment.
Market Opportunity
A Multi-Billion Dollar Opportunity
$180-250B
Global Robotics + AI Software Market by 2030
$8-15B
Synthetic Data + Simulation TAM
$3B+
Annual Robotics Data Spending (2024-26)
35%
CAGR in Physical AI/Simulation Tools
Ready to build robots in simulation?
Talk to the founders about your use case — or see the platform in action with a 30-minute demo.