Co-founders Elle Smyth and Sarah Hamer came up with the idea while working together at supply chain unicorn startup, Stord.
“We met each other and bonded over our love for the supply chain industry,” Smyth told TechCrunch.
Warehouse workers have to reference “phone book-sized” manuals of how to ship items to retailers, like Target and Walmart.
If shipping/warehouse workers don’t pack these items correctly, retailers will charge the brands fees, known as a chargeback.
RetailReady replaces those manuals with a digital version that gives workers a directed workflow on how to pack an order correctly.
So he founded a startup, Symbolica AI, to do just that.
Elsewhere, a report co-authored by Stanford and Epoch AI, an independent AI research Institute, finds that the cost of training cutting-edge AI models has increased substantially over the past year and change.
With costs poised to climb higher still — see OpenAI’s and Microsoft’s reported plans for a $100 billion AI data center — Morgan began investigating what he calls “structured” AI models.
Symbolic AI solves tasks by defining symbol-manipulating rule sets dedicated to particular jobs, such as editing lines of text in word processor software.
Symbolic AI needs well-defined knowledge to function, in other words — and defining that knowledge can be highly labor-intensive.
French spinout Diamfab, founded in 2019, is one example.
They also raised an €8.7 million round of funding from Asterion Ventures, Bpifrance’s French Tech Seed fund, Kreaxi, Better Angle, Hello Tomorrow and Grenoble Alpes Métropole.
But diamond wafers could also be leveraged for nuclear batteries, space tech and quantum computing, too.
While there’s warranted hype around AI in Paris, Grenoble may be the closest to a French Silicon Valley.
Now Diamfab hopes it can play a part, too, and unleash the full potential of diamond in semiconductors.
This is particularly true in Europe in the context of GDPR: While many companies are hoping to build AI on top of voice data, in many cases, this requires removing biometric information first.
This is where Nijta hopes to help: by providing AI-powered speech anonymization technology to clients that need to comply with privacy requirements.
The startup also says that Nijta Voice Harbor’s protection is irreversible, unlike some of the voice modifications unwisely used by media outlets hoping to protect victims they interview.
A lack of awareness of privacy issues around voice is one of the challenges Nijta will have to face.
This is also why starting with B2B and Europe seems to make sense: Even if customers aren’t pushing for voice privacy, risking a hefty fine is turning companies into early adopters.
Vietnamese EV startup VinFast is trying to get into the electric pickup truck game, as it revealed a new concept called the VF Wild at CES 2024 in Las Vegas.
The company announced it also plans to start selling its smallest EV, the VF3, outside of Vietnam as previously hinted.
The VF3 is a plucky little EV that VinFast announced in Vietnam earlier this year.
Developing a truck and globally launching a compact EV aren’t even the biggest things on VinFast’s plate.
Globally, the overwhelming majority of VinFast’s EV sales have been to a taxi company owned by Vuong.
As 2023 comes to an end, it is only natural to reflect on what happened in the markets we cover.
But when it comes to cannabis, the answer is “not much,” which won’t help cannabis startups that are already facing a challenging funding environment.
Namely, 2023 wasn’t the year that Germany legalized adult recreational cannabis use.
That matters because that’s not what the legal cannabis market once anticipated, and whenever there is misalignment between reality and what investors expected, especially when public companies boosted said expectations, it is rarely good news.
“Companies have spent significant capital in preparation for a sizable commercial market in Germany.
The traditional role of the real estate agent has long been challenged as the internet has made it easier for people to search for, and tour, homes.
The buyers’ agent commission varies from transaction to transaction depending on what is offered by the seller.
In a scenario where the buyer’s agent commission is 3%, for example, the home buyer would receive up to 1.5% as a rebate and Prevu as a company would retain the other 1.5%.
Buyers receive the commission rebate via check after closing.
Making home buying “more attainable”So besides rebates, what is Prevu doing that’s different from its competitors?
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