
Visynex AI Systems
Sim2Real Data Infrastructure
Synthetic data infrastructure bridging the "Sim2Real" gap for Embodied AI. Upload a CAD file, inject semantic physical chaos, and deliver 10,000+ auto-annotated training frames directly into your CI/CD pipeline.
10,000+
Frames per batch
Zero
Hardware capex
99.5%
Zero-shot deployment

Developer Studio
API PipelineInput
Baseline 3D CAD (.STEP)
Air-gapped secure ingestion.
Engine
Generative Synthesis Engine
Mathematical reconstruction of digital twins via ephemeral compute.
Outcome
Auto-Annotated Datasets
YOLO/COCO formats delivered securely via webhook.
Visual Formula
1 CAD File → Procedural Generation → Pipeline Injection
Visualizing procedural physical chaos and auto-annotation for Embodied AI.
0
Auto-Annotated Frames Generated
The Data Scarcity Paradox
Training robotic manipulation policies via manual human labeling is fundamentally unscalable. Basic 3D simulation engines fail to solve this because they lack accurate industrial material physics. Builders lack a scalable, purely software-driven data layer.
Manual Labeling Bottleneck
Expensive, slow annotation cycles limit model progress.
Software-Defined Data Layer
Procedural synthesis generates edge-case coverage on demand.
Replace collection loops with API generation.
The Breakthrough
Visynex replaces physical data collection with a scalable API. Define physical constraints (lighting, material reflectivity, spatial anomalies) via a JSON payload, and our engine securely injects thousands of physically accurate frames directly into your cloud storage.
Breakthrough Output

Input
1 CAD file
Generated output
10,000+ frames
Formats
YOLO / COCO
Delivery
Webhook + S3/VPC
Formula
1 CAD File → Procedural Generation → Pipeline Injection
How It Works
Step 1
Upload baseline 3D assets through air-gapped secure channels.
Step 2
Set lighting, materials, anomalies, and physical constraints.
Step 3
Create physically accurate edge cases with auto-annotation.
Step 4
Stream datasets into your training stack with zero manual ops.
Zero Exposure
Synthesis runs on isolated, ephemeral cloud compute clusters. Rendering memory is purged instantly upon delivery. We never train shared foundation models on your proprietary IP.
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Isolated ephemeral workloads per dataset job
Memory purged immediately after delivery
No shared-model training on proprietary assets
Secure webhook delivery to private storage
Who It’s For
Target Segments
Primary Users
Visynex vs The Market
Business Model
Pay-Per-Dataset API
$5,000 flat fee
Per generated dataset batch
Enterprise SaaS License
Continuous API access
For high-throughput ML platforms
Validation
OMSA Automotive utilized our standardized API to train their visual control policies. The Embodied AI successfully identified structural anomalies on Day 1 without ever seeing a real-world defect, achieving 99.5% accuracy trained entirely on Visynex data.
Standardized API integrated in production telemetry
Day 1 anomaly detection without real defect history
99.5% zero-shot deployment accuracy
Training data generated entirely via Visynex
Go-To-Market
Instant Proof Loop
Deployment Pattern
Self-serve API onboarding
Enterprise expansion via telemetry proof
Vision
Visynex is not just generating static datasets; we are building the continuous data engine for automation developers. As robots encounter new anomalies, engineers ping our API to generate instant patch datasets.

“Continuous synthetic data closes the Sim2Real loop.”
Ready to Deploy
Upload a baseline asset to our API and inject physically accurate edge cases directly into your training pipeline today.