Scopely, the massively funded mobile game publisher, has made good on its promise to start buying up more properties with the treasure chest it amassed in a whopping $200 million round last year.
The target this time is Walt Disney Company’s FoxNext Games Los Angeles and Cold Iron Studios. Disney picked up Fox’s game division in the huge $71.3 billion deal which merged the two entertainment powerhouses in 2019.
There’s no word on how much Scopely spent on the deal, but the company is quickly becoming one of LA’s biggest mobile game studios, joining the ranks of companies like Jam City as mega-players in the mobile games ecosystem emerging in Los Angeles.
The city has long been home to game development talent including Riot Games, Activision Blizzard, and others.
FoxNext is already the home of the popular “Marvel Strike Force” game and is developing “Avatar: Pandora Rising”, which is a multiplayer strategy game based on the James Cameron blockbuster, “Avatar”.
The portfolio doesn’t include the Fox IP licensed game titles, which will continue to live under Disney’s licensed game business.
“We have been hugely impressed with the incredible game the team at FoxNext Games has built with MARVEL Strike Force and can’t wait to see what more we can do together,” said Tim O’Brien, Chief Revenue Officer at Scopely, in a statement. “In addition to successfully growing our existing business, we have been bullish on further expanding our portfolio through M&A, and FoxNext Games’ player-first product approach aligns perfectly with our focus on delivering unforgettable game experiences. We are thrilled to combine forces with their world-class team and look forward to a big future together.”
As a result of the acquisition, FoxNext’s President, Aaron Loeb will join Scopely in a newly created executive role, according to the company. Meanwhile, Amir Rahimi, FoxNext’s senior vice president will become assume the mantle of President, Games at FoxNext Games Los Angeles studio, the company said.
Last year, Scopely hit $1 billion in lifetime revenue and recently bought the DIGIT Game Studios to further expand its footprint in Europe and across North America.
It’s November. We’re eleven years into a bull run. And a protracted trade war with China — not to mention the impeachment proceedings — are causing some nervousness about what next year will hold.
Little wonder that venture firms, which have been writing checks faster than ever in recent years, are also stocking up on dry powder. In the 10 days alone, some of the many firms to announce new funds include Boldstart Ventures, Drive Capital, .406 Ventures, CAVU Venture Partners, Unusual Ventures, Northzone, Kindred Ventures, EQT Ventures, Inspired Capital, and Norwest Venture Partners.
Newly in the same company is Next Coast Ventures, a firm that just closed on $130 million in fresh capital commitments to pursue a thematic approach and focused (for now) on the future of work, the rise of digital natives, the death of traditional retail, and the ways that ubiquitous connectivity is changing marketplaces.
It’s the second fund for the firm, which closed its debut fund with a very respectable $85 million, thanks in large part to its two managing directors: Michael Smerlko previously bought a technology services company called ServiceSource that he ran for 12 years and eventually took public. His cofounder, Thomas Ball, previously spent more than a decade with Austin Ventures.
Interestingly, for many years, Austin Ventures was the only game in town in Austin, but that has changed meaningfully since it announced in 2015 that it wouldn’t be raising more capital. Not only has Next Coast just gathered up more capital, but so have numerous other regional firms this year. In April, for example, we reported on the newest, $105 million, fund raisedLiveOak Ventures. Meanwhile, Silverton Partners, one of the city’s most active investors, is zeroing in on a new $120 million fund just one year after closing a $108 million fund and several other firms — including ATX Ventures and Quake Capital are trying to raise sizable debut funds.
As for Next Coast, some of its many current bets include Everylywell, a company that sells tens of in-home diagnostic tests and that closed on $50 million in funding earlier this year and AlertMedia, a cloud-based mass notification system that aims to streamline notifications across devices and platforms and which raised $25 million in Series C funding back in January. (You can check out a longer list of its investments here.)
The firm has also seen five companies in its portfolio sell to acquirers (all for undisclosed terms). While one has yet to be announced, the other four are OnRamp, a cloud hosting company that sold last year to a data and IT company called LightEdge; the personal finance startup Clarity Money, which sold to Goldman Sachs last year; the wardrobe tech company Finery, which sold to Stitch Fix in September; was the smart oven maker Brava, which just yesterday disclosed that it’s being acquired by Middleby, an industrial equipment company.
We were in touch with in touch yesterday with Smerlko to learn how Next Coast’s new and bigger fund might differ from its predecessor and the answer seems to be: not much. He said check sizes will increase, from a range of $3 million to $7 million into Series A stage companies to more like $5 million to $10 million at the upper end. He also suggested that NextCoast remains as committed as ever to uncovering and funding talent regionally, something that’s getting easier all the time, evidently.
“Austin’s entrepreneurial and startup ecosystem is absolutely booming,” Smerlko wrote us via email. “It’s never been cheaper to start a company, and places like Austin with a high quality of life, growing available capital and a strong entrepreneurial spirit will continue to be a hotbed for founders and tech talent.”
Deep learning is all the rage these days in enterprise circles, and it isn’t hard to understand why. Whether it is optimizing ad spend, finding new drugs to cure cancer, or just offering better, more intelligent products to customers, machine learning — and particularly deep learning models — have the potential to massively improve a range of products and applications.
The key word though is ‘potential.’ While we have heard oodles of words sprayed across enterprise conferences the last few years about deep learning, there remain huge roadblocks to making these techniques widely available. Deep learning models are highly networked, with dense graphs of nodes that don’t “fit” well with the traditional ways computers process information. Plus, holding all of the information required for a deep learning model can take petabytes of storage and racks upon racks of processors in order to be usable.
There are lots of approaches underway right now to solve this next-generation compute problem, and Cerebras has to be among the most interesting.
As we talked about in August with the announcement of the company’s “Wafer Scale Engine” — the world’s largest silicon chip according to the company — Cerebras’ theory is that the way forward for deep learning is to essentially just get the entire machine learning model to fit on one massive chip. And so the company aimed to go big — really big.
Today, the company announced the launch of its end-user compute product, the Cerebras CS-1, and also announced its first customer of Argonne National Laboratory.
The CS-1 is a “complete solution” product designed to be added to a data center to handle AI workflows. It includes the Wafer Scale Engine (or WSE, i.e. the actual processing core) plus all the cooling, networking, storage, and other equipment required to operate and integrate the processor into the data center. It’s 26.25 inches tall (15 rack units), and includes 400,000 processing cores, 18 gigabytes of on-chip memory, 9 petabytes per second of on-die memory bandwidth, 12 gigabit ethernet connections to move data in and out of the CS-1 system, and sucks just 20 kilowatts of power.
A cross-section look at the CS-1. Photo via Cerebras
Cerebras claims that the CS-1 delivers the performance of more than 1,000 leading GPUs combined — a claim that TechCrunch hasn’t verified, although we are intently waiting for industry-standard benchmarks in the coming months when testers get their hands on these units.
In addition to the hardware itself, Cerebras also announced the release of a comprehensive software platform that allows developers to use popular ML libraries like TensorFlow and PyTorch to integrate their AI workflows with the CS-1 system.
In designing the system, CEO and co-founder Andrew Feldman said that “We’ve talked to more than 100 customers over the past year and a bit,“ in order to determine the needs for a new AI system and the software layer that should go on top of it. “What we’ve learned over the years is that you want to meet the software community where they are rather than asking them to move to you.”
I asked Feldman why the company was rebuilding so much of the hardware to power their system, rather than using already existing components. “If you were to build a Ferrari engine and put it in a Toyota, you cannot make a race car,” Feldman analogized. “Putting fast chips in Dell or [other] servers does not make fast compute. What it does is it moves the bottleneck.” Feldman explained that the CS-1 was meant to take the underlying WSE chip and give it the infrastructure required to allow it to perform to its full capability.
A diagram of the Cerebras CS-1 cooling system. Photo via Cerebras.
That infrastructure includes a high-performance water cooling system to keep this massive chip and platform operating at the right temperatures. I asked Feldman why Cerebras chose water, given that water cooling has traditionally been complicated in the data center. He said, “We looked at other technologies — freon. We looked at immersive solutions, we looked at phase-change solutions. And what we found was that water is extraordinary at moving heat.”
A side view of the CS-1 with its water and air cooling systems visible. Photo via Cerebras.
Why then make such a massive chip, which as we discussed back in August, has huge engineering requirements to operate compared to smaller chips that have better yield from wafers. Feldman said that “ it massively reduces communication time by using locality.”
In computer science, locality is placing data and compute in the right places within, let’s say a cloud, that minimizes delays and processing friction. By having a chip that can theoretically host an entire ML model on it, there’s no need for data to flow through multiple storage clusters or ethernet cables — everything that the chip needs to work with is available almost immediately.
According to a statement from Cerebras and Argonne National Laboratory, Cerebras is helping to power research in “cancer, traumatic brain injury and many other areas important to society today” at the lab. Feldman said that “It was very satisfying that right away customers were using this for things that are important and not for 17-year-old girls to find each other on Instagram or some shit like that.”
(Of course, one hopes that cancer research pays as well as influencer marketing when it comes to the value of deep learning models).
Cerebras itself has grown rapidly, reaching 181 engineers today according to the company. Feldman says that the company is hands down on customer sales and additional product development.
It has certainly been a busy time for startups in the next-generation artificial intelligence workflow space. Graphcore just announced this weekend that it was being installed in Microsoft’s Azure cloud, while I covered the funding of NUVIA, a startup led by the former lead chip designers from Apple who hope to apply their mobile backgrounds to solve the extreme power requirements these AI chips force on data centers.
Expect ever more announcements and activity in this space as deep learning continues to find new adherents in the enterprise.
Software development companies tackling services for niche industries, like commercial real estate subcontracting, continue to find Los Angeles to be fertile ground for development.
The latest company to raise funding from a clutch of investors is BuildOps, which raised $5.8 million in seed financing from some big names in the Los Angeles tech ecosystem.
Led by Fika Ventures, with additional investments from MetaProp VC, Global Founders Capital, CrossCut Ventures, TenOneTen, IGSB, 1984 Ventures, L2 Ventures, GroundUp, NBA all-star Metta World Peace, Oberndorf Enterprises, Wolfson Group and scouts from Sequoia Capital, the new financing will be used to support the company’s continued growth.
BuildOps sells software that integrates scheduling, dispatching, inventory management, contracts, workflow and accounting into a single software package for commercial real estate contractors with staff ranging from a few dozen to several hundred employees.
Software for the service industry is nothing new for Los Angeles entrepreneurs. The unicorn ServiceTitan hails from the greater Los Angeles area and a number of other software as a service businesses are calling the greater Los Angeles area home.
It’s hard to argue with the size of the commercial construction market. Over the past three years, commercial construction spending grew from $626 billion to $807 billion, according to data provided by the company. And while most large vendors — architects, general contractors and property management companies — have some project management software, the fragmented group of subcontractors that provide services to those customers has remained resistant to adopting new technologies, the company said.
The firm was co-founded by former ServiceTitan developer Neeraj Mittal; Microsoft, Nextag, Swurv and Fundly former executive Steve Chew; and Alok Chanani, who previously founded a commercial real estate company and was a former commander of a transportation unit of the Army in Iraq.
“At BuildOps, we are on a mission to bring a true all-in-one solution on the latest technology to the people who keep America’s hospitals, power plants and commercial real estate running. We are privileged to be working closely with some of the country’s top commercial contractors,” said Chanani.
“Liquid 2 Ventures has an investment thesis in supporting America’s working class and I just love the idea of making their lives far easier and better. You have one solution that does it all and talks seamlessly to every single part of their business from parts to ordering to inventory and more,” said Montana in a statement. “There are very few world-class technology solutions for commercial subcontractors like this and we believe in the founders.”