Home General Various News Israeli seed fund Remagine is financing media’s AI

Israeli seed fund Remagine is financing media’s AI

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While giant leisure corporations scramble to catch as much as streaming content material platforms, extra elementary upheaval is headed their approach on account of technological advances in synthetic intelligence and 5G. 

Former ProSiebenSat.1 govt Kevin Baxpehler (primarily based in Tel Aviv) and former Google Ventures companion Eze Vidra (primarily based in London) launched Remagine Ventures earlier this yr with a $35 million fund that bridges the hole between technologists on the forefront of change and the biggest homeowners of content material.

Backed by a roster of multi-billion-dollar media corporations in Europe, Asia and the U.S. as its restricted companions, their agency operates independently (and focuses on monetary return) however goals to supply strategic worth to portfolio corporations and perception into the long run for its LPs. Vidra referred to it as “a multi-corporate Google Ventures kind of mannequin.”

The agency’s deal with leisure applied sciences has a B2B bent, with a geographic deal with Israel as its main hub and with most of its preliminary portfolio promoting to enterprise media corporations. That makes Remagine’s capacity to information entrepreneurs by way of the halls of conventional media giants extremely related; it additionally means it may gauge whether or not conventional media corporations are probably to purchase a startup’s product earlier than they make investments.

I spoke with Baxpehler and Vidra to study extra about their playbook and why they imagine a wave of leisure tech corporations is about to return out of Israel. Here’s the transcript of our dialog (edited for size and readability):

Eric Peckham: Are there particular funding theses inside leisure that you’re trying to find startups in?

Kevin Baxpehler: Our funding thesis relies on two primary drivers: new developments in so-called AI applied sciences — particularly deep-learning, computer-vision and NLP — coupled with new shopper tendencies akin to esports, visible search, and fascinating with computer-generated imagery (CGI) like Lil Miquela. 

We imagine that current technological developments akin to GANs (generative adversarial networks), coupled with new highly effective computing energy like new microprocessing chips and 5G, will change how manufacturers, shoppers, and stars/influencers will all work together. It creates large alternatives to take a position. 

Eze Vidra: Remagine Ventures invests independently in seed and pre-seed startups on the intersection of leisure, tech, information and commerce. Seed investing is especially onerous for corporates to do straight (due to a mix of causes together with pace, signaling danger and the challenges of deal move for corporates) so we specialise at that stage by sourcing actual time suggestions from the market. 

We are seeing industries and disciplines converge and discover the intersections to be essentially the most ripe areas of alternative. For instance, content material + commerce, AI + leisure, gaming + stay stream tech giving us esports as a cultural phenomenon altering shopper behaviour.

Give me some examples of what startups at these intersection factors will seem like.

Vidra: The two core tenants of our thesis are 1) altering shopper conduct — for instance, how esports is transferring younger viewers to interact with gaming — and a pair of) new applied sciences that make new types of leisure potential, primarily pushed by AI.

Our portfolio firm Syte is an image-recognition and computer-vision firm that acknowledges the merchandise inside photographs and movies with a really excessive diploma of accuracy. They are working with prime retailers globally and Samsung chosen them to energy the Bixby assistant and is rolling them out globally. It’s been tried earlier than, however the distinction with Syte’s product is the extent of accuracy. 

We invested in HourOne, which is an artificial video firm utilizing generative adversarial networks to generate video with out the digicam. It has a number of use circumstances, from lowering the price of video manufacturing to programmatic video, to text-to-speech to gaming. 

Another instance is Vault, which makes use of deep…



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