Dserve AI Service

Synthetic Data Generation

Synthetic Data Generation Services by Dserve AI create mathematically accurate, photorealistic 3D and media environments to overcome data scarcity. We augment your real-world datasets with procedurally generated edge cases, ensuring robust AI model training without privacy constraints.

See How It Works

Procedural Generation Engine

Engine Parameters

EnvironmentUrban Intersection

Lighting Var.Dawn to Dusk

CameraFisheye + LiDAR

RandomizationHigh

Rendering Active

Synthetic Output

100M+

Synthetic Documents/Images

Privacy or copyright risks attached

Docs

Synthetic Document Generation

// document generation

Synthetic Document Generation

We leverage advanced game engines to build photorealistic digital twins of your target environments. From complex factory floors to dynamic street intersections, we simulate the physics and lighting perfectly.

High-fidelity 3D asset creation and scanning
Ray-traced lighting and accurate material physics
Mathematically perfect pixel-level segmentation masks

ENGINE_RUNNING: TRUE

FPS: 144 | BBOX_ERR: 0.00

// variance

Infinite Domain Randomization

Models trained on static data fail in the real world. We use procedural logic to infinitely randomize every variable in the scene, ensuring your model learns true generalized features, not specific backgrounds.

Lighting & Weather

Simulate dawn, dusk, harsh sun, rain, fog, and dynamic shadows.

Camera Intrinsics

Focal length, distortion, ISO noise, and motion blur variations.

Material Physics

Randomized textures, reflectivity, roughness, and object dirt.

Crowd & Occlusion

Procedurally generated crowds, overlapping objects, and edge-cases.

// workflow

Synthetic Data Generation Pipeline

Interact with the nodes below to see how we seed parameters, render 3D meshes, and output validated synthetic datasets.

//01

Scenario & Parameter Mapping

We define the exact real-world physics, lighting, and scenarios the synthetic data must replicate.

We collaborate with your ML team to identify model blindspots. We define lighting variances, camera intrinsics/extrinsics, object occlusions, and physics rules to perfectly mirror the target environment.

Scenario mappingCamera intrinsicsPhysics simulationBlindspot analysis

//03

Mass Generation & Ground Truth

Millions of perfectly annotated images and videos are rendered via cloud GPU clusters.

The engine runs headless across massive GPU clusters, rendering photorealistic frames. The engine outputs mathematically perfect ground truth labels simultaneously with the images, delivering flawless segmentation masks, depth maps, and bounding boxes.

Cloud GPU renderingPerfect ground truthDepth mapsInstant segmentation

//02

Procedural Engine Setup

Our technical artists build the 3D environments and procedural logic in Unreal Engine or Unity.

We construct highly realistic 3D assets and environments. Procedural logic is then applied to randomize object placement, textures, and weather conditions, ensuring infinite variability across the generated dataset.

Unreal EngineUnity 3DProcedural logicTexture randomization

//04

Format Packaging & Delivery

Synthetic datasets are packaged into standard AI formats and delivered securely.

The final output is converted into COCO, Pascal VOC, or your custom JSON schema, bundled with full parameter documentation, and transferred securely to your cloud storage.

COCO JSONParameter metadataSecure cloud transferCustom schema

// ROI

The Synthetic Advantage

Synthetic data isn't just a fallback. It's a massive competitive advantage. It completely eliminates the privacy risks associated with PII collection while dropping the cost-per-asset dramatically.

Metric	Manual Real-World Collection	Synthetic Generation
Speed to 1M Assets	Months	Days (via Cloud GPU rendering)
Edge Case Coverage	Hope to encounter rare events naturally	Force rare events to happen procedurally
Privacy / GDPR Risk	High (Requires strict blurring & consent)	Zero (Fully artificial assets)
Ground Truth Accuracy	95-99% (Subject to human error)	100% (Mathematically extracted from engine)

// initialize pipeline

Accelerate your AI roadmap.

Deploy enterprise-grade data pipelines. Speak with our engineering team to architect a custom solution for your proprietary models.

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