David Scott, Founder and CEO at Synetic presents “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes” at the May 2026 Embedded Vision Summit. Most edge vision deployments fail not because of model architecture, but because real-world training data is structurally incomplete. Sampled data can’t cover combinatorial edge… “Why Edge Vision Models Keep […]
On August 11, 2026 at 9 am PT (noon ET), Synetic AI’s Founder and CEO David Scott, will present the free hour webinar “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Most edge vision deployments fail
Free Webinar Highlights Compelling Advantages of Synthetic Data Read More +
New SDK helps teams add real-time vision capabilities to robotics, industrial automation, security and edge AI systems with faster deployment, flexible integration and continuous model improvement REDMOND, Wash. — May 11, 2026 — Synetic, Inc., a provider of computer vision and synthetic data solutions for real-world AI systems, today announced the debut of LYNX, a
Synetic Debuts LYNX Computer Vision SDK at the 2026 Embedded Vision Summit Read More +
If you work on edge AI or computer vision, you’ve probably run into the same wall over and over: The model architecture is fine. The deployment hardware is (barely) ok. But the data is killing you—too narrow, too noisy, too expensive to expand. That’s true whether you’re counting apples, spotting defects on a production line,
This article was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is changing how computer vision models are being trained. This page will explain synthetic data and how it compares to traditional approaches. After exploring the main methods of creating synthetic data, we’ll help you
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This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. This blog post compares Synetic AI and NVIDIA Omniverse for synthetic data generation, focusing on deployment-ready computer vision models. Whether you’re exploring simulation tools or evaluating dataset creation platforms, this guide outlines key differences and
Comparing Synthetic Data Platforms: Synetic AI and NVIDIA Omniverse Read More +
This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. In an era dominated by ever-larger foundation models, a quieter revolution is underway—one defined not by scale, but by precision. This paper argues that the most impactful AI systems of the future will not be
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This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is revolutionizing computer vision. Synetic.ai provides an automated platform for generating training datasets that are photorealistic, annotated, and customizable. Computer vision is the process of extracting meaning from images using statistical patterns in
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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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