2021 BRN Discussion, page-15888

Interesting find Luke.

From the first article I read I thought they could be a competitor with links to DoD but upon further reading it doesn't look like it.
It looks like their main business is generating synthetic data for ML training. It's a software solution for speeding up the time to produce models. Just like Edge Impulse they make it easier to build your machine learning solution. I also had a quick look on the US Patent site and didn't see any patents came up in Corey Jaskolski's name or for Synthetaic.

Where it get's interesting is how they're involved with 'Save the Elephants'. I'm not sure if this was the intent of your post but I vaguely remember this and poachers being talked about in one of the previous podcasts, the Edge Impulse one from memory.

It's possible we could be involved with them.

https://techcrunch.com/2020/10/20/synthetaic-seed-funding/
Synthetaic is a startup working to create data — specifically images — that can be used to train artificial intelligence.

Founder and CEO Corey Jaskolski’s experience includes work with both National Geographic (where he was recently named Explorer of the Year) and a 3D media startup. In fact, he told me that his time with National Geographic made him aware of the need for more data sets in conservation.

Sound like an odd match? Well, Jaskolski said that he was working on a project that could automatically identify poachers and endangered animals from camera footage, and one of the major obstacles was the fact that there simply aren’t enough existing images of either poachers (who don’t generally appreciate being photographed) or certain endangered animals in the wild to train AI to detect them.

He added that other companies are trying to create synthetic AI training data through 3D worldbuilding (in other words, “building a replica of the world that you want to have an AI learn in”), but in many cases, this approach is prohibitively expensive.

In contrast, the Synthetaic (pronounced “synthetic”) approach combines the work of 3D artists and modelers with technology based on generative adversarial networks, making it far more affordable and scalable, according to Jaskolski.