Eh? What?! 'What kind of crazy ass news is this, boss?!' I don't know, Voice. Telling someone that the embargo is until 10am GMT today is hardly exciting news, is it? 'These people are sick.' I don't know what their problem is. 'They're sick in the head, boss.' Oh, maybe.
Anyway, that was from a PR email on the, uh ... 18th of December. 'Ha!' So we can definitely cover the story now ...
V7 Labs raises $3 million to empower AI teams with automated training data workflows.
Oh, God! It's more inhuman computer robot nightmare vision of future times stuff. 'Except it's happening now. In our world. Well ... your world, Mikey. I'm well out of it.' Yeah, you're a lucky git, Voice. 'Come with me to the astral plane then. Permanently.' I can't. I still have work to do on Planet Earth. 'Your blog, you mean?' No. That was done years ago, as soon as I invented conceptual literature. I mean my music. 'Oh, of course.' Yes.
Anyway ...
V7 Labs, the computer vision platform trusted by hundreds of customers including Tractable, GE Healthcare and Merck, today announced the closing of a $3M Seed round led by Amadeus Capital Partners, joined by Partech, Air Street Capital, and Miele Venture Capital.
Founded in 2018 by Alberto Rizzoli and Simon Edwardsson, V7 Labs's platform accelerates the creation of high-quality training data by 10-100x. V7 accomplishes this by giving users the ability to build automated image and video data pipelines, organize and version complex datasets and train and deploy state-of-the-art vision AI models while managing their lifecycle in production.
And now I must quote Paul Bettany from Gangster No. 1: "You know, I've never understood one fucking word you've ever said to me."
Anyway, here's a human voice ...
"The story of the last 5 years for AI-first companies has been one of rapidly evolving tooling and infrastructure best practices. The very best AI-first companies are now moving from their home-grown data annotation, versioning and model lifecycle management tools to V7's SaaS platform because it abstracts this complexity and exposes industry best practices. Companies can now iterate faster and have confidence in the robustness of their production models by building on V7."
'Who the hell was that?!' Nathan Benaich, general partner, Air Street Capital. 'Oh.'
And here's another human voice ...
"If the proliferation of ML has taught us anything, it is that turning your AI data's lifecycle into a flexible end-to-end workflow is key. This is exacerbated by the growth of deep learning models in production and an increasing demand for automation. V7 is building the finest platform for training data out there, with built-in AI models that outclass the previous state-of-the-art. We're excited to back the team as it brings its new product releases to market."
'Who was that?' Try and guess. 'Pierre?' Ha! You looked. Yes, Pierre Socha, partner, Amadeus Capital Partners.
Okay, okay. Thanks, Nathan and Pierre!
Well, there are no more voices in this email, kook(s), but there is this -
The name "V7"
V7 was named after the areas of the visual cortex. During the Cambrian explosion 500 million years ago, life developed sight, which it continued to refine throughout epochs of evolution, accelerating its diversity of skills. The human brain has six distinguishable areas: V1 through V6. Rizzoli and Edwardsson want to create a hypothetical 7th area meant for machines, and bring forth a similar burst of evolutionary capabilities to those of when life began to see.
ENDS
Yeah, right.
The human race will be gone, gone, gone ... before we get much further with technology. [I don't mean gone to Mars with our Elon.] Good luck, everyone!
ENDS
ENDS
ENDS
...
Anything else?
Well, thank sweet baby Jesus and The Mary Chain that we still have music in this hell.
I'm listening to the song April Skies.
Laters!
