From Limited Data Captures to Millions,
High-Fidelity Scenario Sets
As AI systems demand ever-larger datasets for training and validation, traditional real-world collection is proving too slow and costly.
Qvyon’s MIMIC™ platform expands limited sensor inputs into millions of diverse, high-fidelity real-world scenarios, instantly and across all sensing modalities.
- Real-world fidelity for safety-critical model validation
- Sensor-agnostic across camera, radar, LiDAR, and fusion
- Accelerated, cost-efficient scenario generation at scale
Real-World Data Is the Bottleneck
Next-generation AI depends on continuous data-driven adaptation, but real-world data pipelines cannot scale to meet demand.
Data scarcity
Collecting rare and edge-case scenarios requires years of effort.
Privacy & compliance
Regulatory frameworks limit data utility and interoperability.
Bias & fairness
Existing datasets skew outcomes and demand balanced coverage.
Time & cost
Traditional collection, curation, and labeling are slow, costly, and labor-intensive.
MIMIC™
Neural Reconstruction Trainer & Renderer
MIMIC™ introduces a novel neural data simulation framework that reconstructs and expands real-world autonomous vehicle data. It automatically processes input datasets to generate millions of diverse, high-fidelity scenarios in real time, remaining fully sensor-agnostic across all capture setups and sensor modalities.
Let’s Talk About Your Most Critical Scenarios
Tell us about your sensor setup, validation targets, and where your coverage falls short. MIMIC™ can help you close those gaps, faster, more affordably, and with greater confidence in every outcome.
