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UNLIMITED SYNTHETIC DATA FOR COMPUTER VISION

The Platform for Generating Low-cost Physically-accurate Data, helping Overcome Bias and Powering 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

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Featured Articles

Real data versus synthetic data in imagery simulation.

Why Synthetic Data is Used to Train Computer Vision

| Blogs and Updates, Tips and Tutorials | No Comments
What are the Benefits of Using Synthetic Data to Train Computer Vision Algorithms?   Quality data will always be a business requirement in the dynamic landscape of AI and ML…
CNBC article, Investing in Space: How the Pentagon is making use of AI with spy satellite data, by Michael Sheetz

Rendered.ai CEO Featured in Coverage of 2024 Space Capital Summit

| Events and Webinars, News | No Comments
What role does synthetic data play in the intersecting worlds of satellite data collection and artificial intelligence?  Rendered.ai’s CEO, Nathan Kundtz, recently participated in a panel discussion at the annual…
USGIF's GEOINT 2024 Symposium

Rendered.ai’s Takeaways from GEOINT 2024

| Events and Webinars, Synthetic Data Industry | No Comments
USGIF’s GEOINT 2024 Symposium attracted a record number of GEOINT professionals to Kissimmee, Florida to explore the advancements in geospatial intelligence for the defense and space domains. This year’s theme…

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