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DADoES

Physics-based synthetic data for training vision models

Raised to date

$1M

of $1M offered across 1 Form D filing

Investors
5
Last filed
May 14, 2026

About

Rendered.ai (legal entity DADoES, Inc.) operates a platform-as-a-service for generating physics-based synthetic data used to train and validate computer vision AI/ML models. The platform produces fully labeled datasets that simulate a wide range of sensor types, including RGB, synthetic aperture radar, infrared, thermal, multispectral, hyperspectral, and X-ray. It targets computer vision problems where real-world imagery is scarce, expensive, sensitive, or does not exist. The company is based in Bellevue, Washington and was founded in 2019.

Physics-based simulation of non-visible and specialized sensor modalities (SAR, infrared, hyperspectral, X-ray) rather than aesthetically-driven image generation, producing datasets that can be validated and used as if they were sensor-collected, with 100% accurate labels.

Funding

  • Security to be acquiredFiled May 14, 2026Form D
    $1M/ $1M

Product

Rendered.ai Platform

Synthetic data / AI training data platform

A platform-as-a-service that lets data scientists, data engineers, and developers configure and run physics-based simulations to generate unlimited, fully labeled synthetic datasets, then train and validate computer vision models on the same platform.

  • Fully labeled synthetic datasets generated in minutes
  • Physics-based simulation across visible and non-visible sensors (RGB, SAR, infrared, thermal, multispectral, hyperspectral, X-ray)
  • Configurable, automated dataset generation workflows for rapid iteration

Built for

Enterprise and government computer vision teams — defense and intelligence agencies, satellite and geospatial operators, autonomous systems developers, manufacturing, and transportation

People on file