MWC 2024: Motorola's Rollable Concept phone laughs at your silly foldable

Image Credits: Brian Heater

[Cartoonishly exaggerated Crocodile Dundee accent] That’s not a foldable. This is a foldable. More specifically, it’s a foldable concept device from Lenovo/Motorola showcased on the floor at this year’s MWC. The company walked us through a demo of a device that’s another terrific example of its ability to get weird with design.

The Rollable Concept Phone (as Lenovo is currently calling it, in lieu of giving it an actual marketing-approved name at this stage) isn’t drawing quite the same crowd as the transparent laptop we told you about yesterday, but it’s a prime example of what concept devices can and should be.

And “concept” really is the key word in all of this. It:

Highlights that there’s absolutely zero guarantee the device will ever become a product.Points to why the company is being a bit stingy with demos. There’s no guarantee that a device at this stage will be able to stand up to four days of constant demos, so Lenovo is safeguarding those it does have on hand.

Image Credits: Brian Heater

Prior to the arrival of Samsung’s first Galaxy Fold, when I pictured a foldable phone, it usually looked something like this — that is to say, bendable at a lot more than just a single hinged point. Now rollable displays are certainly not new as a concept, and there are likely some very practical issues that are currently stopping companies from manufacturing them at any meaningful scale.

I keep thinking back to the earliest days of the Galaxy Fold and how all sorts of screen issues popped up, causing Samsung to go back to the drawing board. The truth of it all is you can build robots to perform thousands of folds prior to launch, but there’s a limit to understanding how a product will behave in the real world until it’s actually out there.

Image Credits: Brian Heater

Yesterday, someone asked me if I think Lenovo will ever actually put the device into production. I can’t tell you one way or another. I can only say that this thing will have to be put through some very rigorous testing first if it does. I suppose there’s a sense in which demoing it for several hours a day here at MWC is an important step in the process.

Shows like this are also used to gauge public interest. With new form factors like this, there are always the open questions of whether this is something people actually want in their life and if it will ever rise to a level beyond simple novelty. I can certainly see interest, assuming the company can deliver it at or below the foldable price point (manufacturing prices come down with scale, and I suspect it currently costs a lot to produce).

Image Credits: Brian Heater

The rollable design is absolutely more versatile than that of a foldable, though the lack of a crease means you can’t just snap it shut and stick it in your pocket. What you can do, however, is turn it into a giant makeshift smartwatch. It’s a bit like a giant, high-tech slap bracelet, thought this one requires the wearer to have a magnetic band on their wrist to keep it in place.

We don’t know much more about the device than we can see with our eyes. It’s got a fabric backing, which is far more flexible than traditional phone backs — though one wonders whether you’re going to be constantly hand washing the thing. The operating system adapts to the device’s orientation, prioritizing the part of the screen you’re most likely to utilize. We also know it can handle a two-person game of Connect 4.

Image Credits: Brian Heater

Lenovo says Rollable has multiple batteries — though it won’t disclose how many. In much the same way that foldables have two separate battery segments, the rigid pieces need to be distributed throughout to allow for flexibility — at least until we get equally flexible batteries.

One thing I will say in favor of productization is that Lenovo seems more likely than anyone else to put something like this out into the world. Compared to the competition, the Chinese company is fearless when it comes to getting weird with product design — something I’m fully in favor of. Whether that translates to actual product sales is a different question entirely.

Image Credits: Brian Heater

People certainly had their doubts about the first foldables. While the category only represents a small fraction of the overall smartphone market, I would consider it a success. As ever, the question of whether Apple will give it a go continues to loom over the subject.

Assuming the design doesn’t present any limitations with regards to daily use, I would happily take one of these things for a spin, if only for the weird looks I’d get on the subway (though New Yorkers remain unflappable). I still have a lot of questions, of course. How robust is it? Will it still work after you drop it on the ground? And what would a case look like? It would have to be equally flexible while at least protecting the corners. It feels a bit like that question about how a dog would wear pants.

But it’s neat, novel, weird and I’m into it.

Read more about MWC 2024 on TechCrunch

Georgina Merhom, SOLO, credit bureau

SOLO's new credit bureau concept helps lenders ditch third-party data

Georgina Merhom, SOLO, credit bureau

Image Credits: SOLO / Georgina Merhom, founder and CEO of SOLO.

Credit bureaus relying on outdated third-party data are only getting a small piece of the puzzle, Georgina Merhom says.

“The credit bureaus are super relevant, but when it’s used to identify that a person didn’t pay one bill on time, it’s a punishment. If you are only following the money, you can miss out on a lot of signals,” Merhom told TechCrunch.

Merhom wants to squash the status quo with SOLO, a first-party data collection and reporting engine, that integrates user-permissioned data sources, including financial transactions, online records and digital footprints to tell a more complete story about someone’s financial behavior. User-permissioned data sources, that consumers provide with their permission, come from a variety of places. This includes bank accounts (via Plaid, Teller, TrueLayer), commerce and payment gateways (Amazon, Shopify Square, Stripe, PayPal), invoicing/billing systems (QuickBooks, Bill.com) and customer relationship management platforms, Merhom said.

In addition, user-permissioned data sources replace the self-reporting process, brokers trust between the institution and consumer and identifies opportunities that the bank would have otherwise overlooked, Merhom said.

Originally a data scientist in the cybersecurity industry, Merhom was developing and training algorithms on the dark web to detect illicit activity. That work taught her that a wider variety of data, as well as the context in which the data appears, can paint a much fuller picture. Merhom used that intelligence to start Zivmi, a cross-border payments app in Egypt that she ended up selling to the National Bank of Egypt.

An interview with Andrew Yang

She got the idea for SOLO while at Zivmi and working with freelancers without bank accounts. Using other platforms like GitHub and Upwork, Zivmi was able to verify a person’s experience level, client ratings and overall work history.

As the business of working with the unbanked grew, Zivmi started underwriting its customers and developed the technology to do that. Merhom said that’s when she recognized the need to create a new kind of credit bureau.

Building a better credit bureau or finding new ways to verify data from people without a lot of credit is not a new concept. Altro is doing it through recurring payments, Kredivo created a neobank to help build credit, Bloom.io helps businesses create financial products and report consumer credit behavior and Masa Finance is building a decentralized credit bureau.

Southeast Asian credit fintech Kredivo scores $270M Series D

Merhom and full stack developer Luis Troni were building SOLO for two years and recently debuted it to a group of hundreds of financial institutions. Now they’re out to secure 100 bank pilots in the U.S. this year and will eventually go after some venture capital. Merhom said there are already some agreements in the works, but couldn’t divulge further.

Their goal is to measure metrics, including decreasing application processing time from up to two months to minutes, reduce costs by up to 70% and increase value per customer.

“It costs banks $29 billion a year to process applications, and that’s not even including the money they pay credit bureaus,” Merhom said. “If we can show we have reduced costs, banks no longer need to have a loan officer cross-referencing the bank statement to accounting and trying to recalculate. And if our customers can identify opportunities in their portfolio and sell more to them, then we’ve succeeded at what we’re doing.”

The #MyTechBestfriend fallout continues

Exclusive: How Neural Concept's aerodynamic AI is shaping Formula One

Image Credits: Williams Racing

It’s a long way from pedal bikes to Formula 1. But that’s precisely the quantum leap that AI-based startup Neural Concept and its co-founder and CEO, Pierre Baqué, made in just six years.

In 2018, the company’s fledgling software helped develop the world’s most aerodynamic bicycle. Today, four out of 10 Formula 1 teams use an evolution of that same technology.

Along the way, Baqué’s company picked up contracts with aerospace suppliers like Airbus and Safran, earning a $9.1 million Series A raise in 2022. Now at 50 employees, Switzerland-based Neural Concept is working toward a Series B round while its software helps historic F1 teams like Williams Racing find their way back to the top of the world’s premiere form of motorsport.

However, where Formula 1 cars rely on 1,000-horsepower hybrid V6 engines, Baqué’s first practical application of the technology was human-powered.

Pedal power

In 2018, Baqué was studying at the École Polytechnique Fédérale de Lausanne’s Computer Vision Laboratory, working on applying machine learning techniques to three-dimensional problems.

“I was put in contact with this guy who was leading this team, designing the sixth or seventh generation of bike, and their goal was to break a world record of bicycle speed,” Baqué said. That guy was Guillaume DeFrance, and the team was IUT Annecy from the Université Savoie Mont Blanc. The cycling team had already gone through a half-dozen iterations of bike designs.

“Two days later, I came back to him with a shape that was almost looking like the current world record holder,” Baqué said. Impressed, the team asked for more iterations. The result was, per Baqué, “the most aerodynamic bike in the world at the moment.”

That’s a strong statement, but it’s backed up by multiple world records earned in 2019. We’re not talking about aerofoil-shaped downtubes or dimpled rims to reduce drag. This bike is fully shrouded, with the cyclist sweating away in a composite cocoon, completely sheltered from the wind.

The core technology is a product called Neural Concept Shape, or NCS. It’s a machine-learning-based system that makes aerodynamic suggestions and recommendations. It fits into the broad field of computational fluid dynamics (CFD), where highly trained engineers use advanced software suites to run three-dimensional aerodynamic simulations.

CFD is much faster than carving physical models and throwing them into wind tunnels. Still, it’s also hugely system-intensive and largely reliant on human beings making good decisions.

At its core, NCS helps engineers avoid potential aerodynamic pitfalls while pushing them into directions they might not have considered. In “co-pilot mode,” an engineer can upload an existing 3D shape, providing a starting point, for example.

NCS will then dig into its neural network to suggest improvements or modifications, possible paths in a 3D game of choose-your-own-adventure. The human engineer then picks the most promising suggestions and runs them through further testing and refinement, iterating their way to aerodynamic glory.

Not just “cheating the wind”

NCS is useful not just for racing but also in the automotive and aerospace industries. “The path to wide adoption in these kinds of companies is slow,” Baqué said of working within the somewhat conservative aerospace industry. “That’s how we started working more with the automotive industry, where the needs are a bit more burning, and they’ll be quick to change.”

Neural Concept secured contracts with several global suppliers, including Bosch and Mahle. Aerodynamics is increasingly key in the automotive world, with manufacturers searching for ever-more aerodynamic cars that deliver the greatest possible range from a given-sized battery pack.

But it’s not all about cheating the wind. NCS is also used in developing things like battery-cooling plates that, if made more efficient, can keep the battery at its optimal temperature without sapping too much energy in the process. “There are massive gains that can be made,” Baqué said, meaning yet more range.

While the ultimate proving ground for these technologies is always the road, the ultimate laboratory is Formula 1. A global motorsports phenomenon since 1950, F1 is currently experiencing an unprecedented wave of popularity.

The power of Netflix

The Netflix series “Formula 1: Drive to Survive” has brought the excitement of F1 to a whole new audience. While that series focuses on inter-team politics and drama, success on the track has much more to do with aerodynamics. That’s where Neural Concepts comes in.

Baqué started watching Formula 1 before Netflix was even a twinkle in Reed Hastings’ eye. “I always watched, since the time of David Coulthard and Michael Schumacher.”

Today, parts developed with assistance from his company’s software are running in this pinnacle of global motorsport. “It’s a great, great sense of accomplishment,” Baqué said. “When I started the company, I was seeing this as a landmark. Not only Formula 1, but just to have parts that were designed with the software on the road. And, yeah, every time that this happens, it’s a great, great feeling.”

Formula 1 is also an extremely secretive sport. Of the four teams that Neural Concept works with, only one was willing to be identified as a client, and even it was pretty tight-lipped about the whole process.

Williams Racing is one of the most storied teams in Formula 1. Founded back in 1977 by racing legend Frank Williams, his team was so dominant in the 1990s that it won five constructors’ world championships, including three in a row from 1992 to 1994.

But like in most sports, success is cyclical for Formula 1 teams, and right now, Williams is very much in a rebuilding phase. The team finished dead last in the 2022 season, rising only to seventh last year.

NCS is one of the tools helping Williams regain its competitive edge. “We use this technology in various ways, some of which improve our simulation, and other methods that we are working on will help deliver better results first-time in CFD,” said Williams Head of Aerodynamic Technology Hari Roberts.

Again, CFD simulations are time-intensive and costly, a situation compounded by Formula 1 regulations that limit a team’s ability to test. Physical time in the wind tunnel is heavily restricted, while each team also has a limited budget for computing time they can use to develop their cars.

Any tool that can help a team get its aerodynamic designs in shape quickly is a potential advantage, and NCS is very quick indeed. Baqué estimated that a full CFD simulation that typically takes an hour would take as little as 20 seconds through NCS.

And, since NCS isn’t running actual physics-based calculations but making AI-driven guesses based on its network of aerodynamic learnings, it’s largely exempt from F1’s draconian restrictions. “Anything we can do that allows us to extract more knowledge and therefore more performance from each CFD and wind tunnel run gives us a competitive advantage,” Roberts said.

But the teams still have to pay for it. Baqué said that NCS costs vary depending on the size of the team and type of access, but typically, it’s in the range of €100,000 to €1 million per year. Considering F1 teams also operate under a $135 million annual cost cap, that’s a substantial commitment.

Williams’ Roberts wasn’t willing to point to any specific parts or lap time improvements thanks to NCS software but said it has affected their car’s performance: “This technology is used as part of our toolset for developing the car aerodynamically. We, therefore, can’t attribute lap time directly to it, but we know that it helps our correlation and the speed at which we can investigate new aerodynamic conditions.”

Beyond aerodynamics

The ceaseless march of AI won’t stop there. There is talk of artificial agents on the pit wall calling the shots for race strategy and even car setups.

“It’s a fascinating time as the growth in the AI/ML industry is exponential,” Roberts said. “However, it’s also a real challenge that faces anyone involved in technology today. Which new tools do we devote time to exploring, developing, and adopting?”

That’s not the kind of intrigue that will captivate your average “Drive to Survive” viewer, but for many F1 fans, the race behind the race is the ultimate source of drama.

As for Neural Concept, the company is continuing to push deeper into the non-motorsport side of the automotive industry, working to develop more efficient electric motors, optimizing cabin heating and cooling, and even getting into crash testing.

Baqué said that the company’s software can help engineers optimize a car’s crashworthiness while stripping away unnecessary weight. But, for now, the company can only do crash simulations on individual components, not whole cars. “That is one of the few applications where we have been hitting the limits of performance,” he said.

Perhaps another application for the EU’s burgeoning AI supercomputing platforms?