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UNLIMITED SYNTHETIC DATA GENERATION FOR COMPUTER VISION

The Platform for Low-Cost, Physically Accurate Data to Help Overcome Bias and Power Innovation in AI and ML

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Rendered.ai is the Platform for Generating Synthetic Computer Vision Datasets for Training Artificial Intelligence and Machine Learning Systems

Rendered.ai Synthetic SAR image - Synthetic Aperture Radar

Capture Rare Events & Edge Cases

Reproduce rare events and edge case scenarios that are difficult to capture and record real sensor data.

Rendered.ai x-ray images - cargo and security applications with Quadridox

Acquire Data to Innovate

Generate data that is impossible or difficult to acquire because sensors don’t exist or acquisition cost is prohibitive.

100% accurately labeled images of fruit

Overcome Data Labeling Challenges

Generate 100% accurately labeled data, including sensor data that humans have difficulty reading or identifying.

Human Synthetic Data

Reproduce Restricted or High Risk Data

Simulate datasets of high risk scenarios, datasets that would be restricted by security, health care, or privacy laws.

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“By 2024, 60% of data used for AI and data analytics projects will be synthetic, and by 2030, synthetic data will have completely overtaken real data in AI models.”

- Gartner, September 2021

Learn More About Synthetic Data for Your Industry

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Defense and Intelligence

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Earth Observation

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Transportation

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Insurance

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Manufacturing and Logistics

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Agriculture

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Spending Too Much Time and Money and Not Getting the Data You Need?

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“Working with Rendered, we were able to use synthetic data to significantly improve computer vision algorithm performance for detecting economically important objects in satellite imagery. AP scores improved across the board for identifying rare and unusual objects when combining synthetic images with actual satellite imagery compared with using real images alone. The objects in our study have been historically difficult to identify using automated algorithms but represent high value information for monitoring and reporting.”

“We saw that synthetic data is a critical capability for computer vision algorithm development and for optimizing detection performance to extract vital information from real sensor-based data.”

James Crawford, Orbital Insight Founder, Chairman, CTO

Our Partners

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Featured Articles

Synthetic X-ray images generated with the Quadridox logo overlayed.

Design, Test, & Deploy Next Generation X-Ray Systems with Quadridox & Rendered.ai

| Partnerships, Quadridox, X-ray | No Comments
One secret to building performant computer vision algorithms faster is aligning with the right partners who can provide advanced domain expertise.   Building a Community of Experts Rendered.ai has cultivated…
Rendered.ai's CEO, Nathan Kundtz, showcasing the capabilities of the company's synthetic data generation to a group of airmen at the 2024 Air, Space & Cyber Conference.

2024 AFA Air, Space & Cyber Conference Recap

| Events and Webinars | No Comments
This year’s Air, Space & Cyber Conference, hosted by the Air & Space Forces Association (AFA), drew over 18,000 senior leaders from across the United States Department of Air Force…
Rendered.ai logo and representative images simulated with synthetic data.

Start Generating Synthetic Data Faster with the Updated Rendered.ai Platform

| Rendered.ai Platform Updates, Tips and Tutorials | No Comments
You may have noticed a few new updates to the Rendered.ai platform recently. If you haven’t logged onto the platform to generate synthetic data in a while, it’s a great…

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