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Climate tech investment roars back with an $8.1B start to 2024

Forest in the shape of arrow sign on a yellow background.

Image Credits: Andriy Onufriyenko (opens in a new window) / Getty Images

Climate tech startups raised $8.1 billion in the first quarter, near record amounts of money that suggest 2023’s quiet close might have been more of a blip than the sign of a protracted downturn.

The figure, contained in a new report from PitchBook, shows that climate tech hasn’t succumbed to the same slowdown that has dragged on the rest of the venture community.

While the number of deals was down slightly quarter-over-quarter, the value was up nearly 400%, according to the report. A deeper look into the $8.1 billion raised in the first quarter shows that investors focused their attention on materials, including green steel and battery materials and minerals.

Three early-stage firms closed the most deals. Climate Capital landed 94, Lowercarbon Capital closed 70 and SOSV came in with 59 (a figure that would be higher if you included its Hax and IndieBio programs). Despite those tallies, this year started with fewer deals closing compared with Q4 2023. Total deal count was down 20% this quarter to 244.

Despite the lower deal count, the amount of money raised by climate tech startups in Q1 was second only to Q3 of last year. A handful of noteworthy deals helped keep the sector buoyant.

Top deals

Swedish startup H2 Green Steel led the pack, raising $4.5 billion in debt and $215 million in equity to fund a massive new plant in northern Sweden. The company claims it can produce steel with up to 95% fewer emissions by burning green hydrogen rather than coal. The new plant will initially produce 2.5 million metric tons of steel per year, and the company says customers have already committed to buying half of that volume for the next five to seven years. H2 Green Steel follows Northvolt, a Swedish battery manufacturer, in attracting outsize investments to build large-scale production facilities in the country.

Battery recycler Ascend Elements followed by adding another $162 million to its Series D, bringing the total to $704 million for the round. The company, a unicorn worth $1.6 billion post-money, is vying for a share in an increasingly competitive market for recyclable battery materials, squaring off against former Tesla executive J.B. Straubel’s Redwood Materials.

Continuing the materials theme, battery manufacturer Natron raised a $189 million Series B round to begin construction on a commercial-scale factory in western Michigan. The startup specializes in sodium-ion batteries, which are cheaper than lithium-ion but less energy dense.

Lilac Solutions also closed a significant Series C last quarter, raising $145 million to scale up its ion-exchange technology that can extract lithium from salty water. Most of the world’s lithium is produced in evaporation ponds, which require gobs of land and water. Lilac Solutions’ approach looks more like a regular factory, with modular units humming inside an enclosed building. It promises to make lithium extraction commercially viable in the U.S., something automakers will need if their EVs are to qualify for federal tax incentives, which are dependent on domestic minerals.

A preview?

The numbers posted in Q1 may feel inflated because of those sizable rounds, but they could also be the beginning of a trend in which nine-figure raises cease to be exceptional.

Today, it would be easy to dismiss massive deals like H2 Green Steel’s as an outlier, but that would also ignore the fact that many climate tech companies, which often sell physical goods instead of software, need large sums if they’re to successfully reach commercial scale. Currently, there are simply fewer companies ready to make the leap. As early-stage companies mature, that should change.

Large rounds coupled with fewer deals may be cold comfort for early-stage founders in need of cash now. But the reality is that investors have been trending in that direction for several quarters. The exuberance that was on display during the pandemic caused valuations to skyrocket, making it challenging to justify additional investment without a down round.

In conversations over the last few months, VCs have told me they’ve preferred to put their money behind companies with customer traction and some revenue on the books. In climate tech, there’s a much smaller pool to draw from since many companies still harbor a decent amount of technical risk. Investors’ bias toward de-risked, revenue-generating startups is reflected in Q1’s numbers, which were dominated by established companies raising large rounds.

That dynamic can’t continue forever, though. In the next 25 years, the world will need to invest $230 trillion to reach net-zero carbon emissions, according to McKinsey. For investors, it’s an opportunity that’s too large to ignore, and founders have been rushing to fill the gap with novel technologies and business models.

Investors have been meeting founders at the starting blocks, but as early-stage companies begin to think about scaling, they frequently encounter a challenging fundraising environment, something that’s become known as the “valley of death.”

The ‘valley of death’ for climate lies between early-stage funding and scaling up

As companies like H2 Green Steel, Ascend Elements and others traverse the valley, the lessons learned will inform investors and startups who are on a similar journey. It might take a few years to develop a playbook, but once that happens, large rounds like the kind seen this quarter should start becoming the norm, not the exception.

NYT Games launches a Wordle archive with access to more than 1,000 past puzzles

illustration of rows of phones playing wordle

Image Credits: Bryce Durbin/TechCrunch

The New York Times Games announced on Tuesday that it’s launching a Wordle archive, offering subscribers access to more than 1,000 past Wordle puzzles. The company has started rolling out the Wordle archive on mobile and desktop to “Games” and “All Access” subscribers, but notes that the the rollout is expected to take place over “the next couple of months.” The Times plans to bring the archive to its Games app in the coming weeks.

The media company, which acquired the popular puzzle game back in 2022, says the archive will allow players to catch up on any puzzles they may have missed, while also enabling them to play the game at their own pace. Players can browse through the calendar of past Wordle puzzles, dating back to June 2021. Subscribers will be able to see and save their progress on past Wordle puzzles and share their results with others.

In addition, the Times is bringing WordleBot, its personalized companion that analyzes your completed Wordle, to the NYT Games app. WordleBot allows players to challenge themselves to analyze how they could approach the puzzle differently by assessing their skills and strategies.

“This expansion is not just about playing past puzzles; it’s about deepening the connection our community has with Wordle and with each other,” said Jonathan Knight, head of Games at The New York Times, in a press release. “We believe this will make the daily puzzle even more engaging and provide even more moments of surprise and delight for our subscribers to share with friends and family.”

In March, the NYT Games app debuted a redesign to help users discover games and track their progress more easily. The redesign, which featured new game card designs and streamlined navigation, was the company’s next step in building out its gaming hub. The change came nearly a year after the company renamed its games-focused app from “NYT Crosswords” to “NYT Games” to better represent its growing family of games.

The Times says its Games app was downloaded 10 million times in 2023 alone, and that its games were played more than eight billion times last year. Wordle accounted for nearly half of that number, as it was played 4.8 billion times.

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Stack Overflow signs deal with OpenAI to supply data to its models

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Image Credits: Bryce Durbin / TechCrunch

OpenAI is collaborating with Stack Overflow, the Q&A forum for software developers, to improve its generative AI models’ performance on programming-related tasks.

As a result of the partnership, announced Monday, OpenAI’s models, including models served through its ChatGPT chatbot platform, should get better over time at answering programming-related questions, the two companies say. At the same time, Stack Overflow will benefit from OpenAI’s expertise in developing new generative AI integrations on the Stack Overflow platform.

The first set of features will go live by the end of June.

The tie-up with OpenAI is a remarkable reversal for Stack Overflow, which initially banned responses from ChatGPT on its platform over fears of spammy responses.

Stack Overflow began experimenting with generative AI features last April, promising to craft models that “reward” devs who contribute knowledge to the platform. In July, the company launched a conversational search tool that lets users pose queries and receive answers based on Stack Overflow’s database of over 58 million questions and answers, along with tools for businesses to fine-tune searches on their own documentation and knowledge bases.

Some members of Stack Overflow’s developer community rebelled against the changes, pointing out concerns related to the validity of information generated by AI, information overload and data privacy for individual contributors on the platform.

There was at least some basis for those concerns. An analysis of more than 150 million lines of code committed to project repos over the past several years by GitClear found that generative AI dev tools are resulting in more mistaken code being pushed to codebases. Elsewhere, security researchers have warned that such tools can amplify existing bugs and security issues in software projects.

But despite the apparent flaws, developers are embracing generative AI tools for at least some coding tasks. In a Stack Overflow poll from June 2023, 44% of developers said that they use AI tools in their development process now while 26% plan to soon.

This has precipitated something of an existential crisis for Stack Overflow. Traffic to the platform has reportedly dipped significantly since the release of capable new generative AI models last year — models that in many cases were trained on data from Stack Overflow.

So now, as it cuts costs, Stack Overflow is pursuing licensing agreements with AI providers.

The company’s deal with OpenAI — the financial terms of which weren’t disclosed — comes after Stack Overflow partnered with Google to enrich Google’s Gemini models with Stack Overflow data and work with Google to bring more AI-powered features to its platform. Stack Overflow stressed at the time that the agreement wasn’t exclusive — and indeed, that turned out to be the case.

Prashanth Chandrasekar, CEO of Stack Overflow, previously said that 10% of the platform’s nearly 600 staff was focused on its AI strategy, and has described potential additional revenue from the strategy as key to ensuring Stack Overflow can keep attracting users and maintaining high-quality information.

“Stack Overflow is the world’s largest developer community,” Chandrasekar said in a press release this morning. “Through [our] industry-leading partnership with OpenAI, we strive to redefine the developer experience, fostering efficiency and collaboration through the power of community, best-in-class data, and AI experiences. Our goal with OverflowAPI, and our work to advance the era of socially responsible AI, is to set new standards with vetted, trusted, and accurate data that will be the foundation on which technology solutions are built and delivered to our user.”

Google experiments with using video to search, thanks to Gemini AI

Image Credits: Google

Google has already admitted that video platforms like TikTok and Instagram are eating into its core Search product, especially among younger Gen Z users. Now it aims to make searching video a bigger part of Google Search, thanks to Gemini AI. At the Google I/O 2024 developer conference on Tuesday, the company announced it will allow users to search using a video they upload combined with a text query to get an AI overview of the answers they need.

The feature will initially be available as an experiment in Search Labs for users in the U.S. in English.

This multimodal capability builds on an existing search feature that lets users add text to visual searches. First introduced in 2021, the ability to search using both photos and text combined has helped Google in areas that it typically struggles with — like when there’s a visual component to what you’re looking for that’s hard to describe, or something that could be described in different ways. For example, you could pull up a photo of a shirt you liked on Google Search, and then use Google Lens to find the same pattern on a pair of socks, the company had suggested at the time.

Now with the added ability to search via video, the company is reacting to how users, particularly young users, engage with the world through their smartphones. They often take videos not photos and express themselves creatively using video as well. It makes sense, then, that they’d also want to use video to search, at times.

Image Credits: Google

The feature allows users to upload a video and ask a question to form a search query. In a demo, Google showed a video of a broken record player whose arm would not stay on the record. The query included a video of the problem along with the question, “Why will this not stay in place?” (referring to the arm). Google’s Gemini AI then analyzes the video frame-by-frame to understand what it’s looking at and then offers an AI overview of possible tips on how to fix it.

If you want to dive in deeper, there are also links to discussion forums, or watch a video about how to rebalance the arm on your turntable.

While Google demoed this ability to understand video content in conjunction with Google Search queries, it has implications in other areas as well, including understanding the video on your phone, those uploaded to private cloud storage like Google Photos, and those publicly shared via YouTube.

The company didn’t say how long the new Google Labs feature would be in testing in the U.S., or when it would roll out to other markets.

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Alkira connects with $100M for a solution that connects your clouds

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Image Credits: Getty Images

As annual spending on cloud computing surges toward the $1 trillion mark, we’re seeing a wave of enterprise startups gaining traction with customers and investors as they build tools to help manage that usage.

In the latest development, a startup called Alkira has raised $100 million for its “network infrastructure as a service,” which lets users virtualize and orchestrate hybrid cloud assets, and manage them as a whole. 

Tiger Global Management, a new investor in the startup, is leading this Series C. Other new investors, NextEquity Partners and Geodesic Capital, as well as previous backers Dallas Venture Capital, Sequoia Capital, Kleiner Perkins and KDT (Koch Disruptive Technologies) also participated in the round. 

Alkira’s CEO, Amir Khan, did not disclose the startup’s valuation, but said that it’s “certainly an up-round.” PitchBook estimates that Alkira was last valued at $234 million, although that dates from a funding round back in 2020, and the company has grown since then. Its customers come from a range of verticals like industry (Koch is a strategic investor in the firm), financial services (S&P) and media (Warner Music), and the company has raised $176 million to date. 

Alkira is addressing one of the thornier aspects of the cloud revolution. Customers typically adopt a hybrid approach to cloud networking to hedge their bets, get the most competitive pricing by region, and lean into flexible arrangements, using multiple vendors, and in many cases, running private, public and on-premises servers in tandem depending on their needs. 

The problem with that, though, is that buying, implementing and managing that plate of spaghetti can prove to be an indigestible nightmare. The spike in the popularity of AI-based applications, which might require even more compute and resources, is certainly exacerbating this issue, but this is a problem that has persisted for years and will continue to, regardless of whether AI is here to stay. 

As Khan described it to me, with Alkira, end-users can negotiate and manage their own compute deals, but they can hand over the designing of those deals to Alkira. The company essentially integrates all those disparate services behind the scenes so that they can be managed and viewed as a single service — kind of orchestrating and virtualizing an organization’s infrastructure on a grand scale. Alkira can support integration with all major cloud providers, Khan told me.

The startup offers a range of services around that integrated, network-as-a-service experience: Cloud backbone as a service (aimed at hyperscalers and heavy activity); extranet as a service (end-to-end connectivity for customers and third parties, created when needed to interface with an organization’s core network); cloud “insights” (visibility services for ops personnel); and secure connectivity (secure remote VPN access). 

Khan claims that running a company’s network assets through Alkira can cut down years of integration and management work into hours. 

One customer, he said, faced a mess of day-to-day troubleshooting, visibility, and routing controls. “Everything was so tedious, and it took them two years to build that system… In our first meeting with them, sitting in a conference room with them in Reno, Nevada, we were able to replicate all that work in four hours.” 

Out of that meeting, they won not just the business pitch, but an investor: The end user was Koch Industries.

Khan co-founded Alkira with his brother Atif (the CTO). The two have years of experience working in the world of telecoms — a wonderful training ground, it turns out, for the incredible fragmentation of today’s cloud computing landscape. (“Alkira” is an Aboriginal word roughly meaning “bright, blue sky,” a reference to clearing up the darkness of today’s “clouds.”) 

They previously founded another startup that was closer to that legacy networking space: Viptela, which specializes in software-defined wide area networking, and was acquired by Cisco for $610 million in 2017. 

This new turn into cloud computing puts Alkira up against a completely different wave of would-be competitors, though the very biggest players, like AWS, Azure and Google, are yet to make significant progress in working together. That leaves a wide opening for third-party players to do the stitching and virtualizing for them. 

It’s interesting to see Tiger Global leading this round. The firm is still investing, although as you can see by the table below that its activity has really dropped off a cliff in the last two years. That context makes this deal all the more significant. 

Tiger’s investments by year. Image Credits: PitchBook

The combination of a proven track record and obvious market opportunity seemingly got Tiger over the line on this one. “Increasing cloud and AI use is also increasing the complexity, velocity, and scale requirements of network infrastructure,” said Rohit Iragavarapu, an investor at Tiger Global, in a statement. “We believe Alkira is well-positioned to unlock the growing potential of this rapidly evolving space with its visionary approach, market traction and cutting-edge technology.”

Google takes aim at Android malware with an AI-powered live threat detection service

Image Credits: Google

Google is preparing to launch a new system to help address the problem of malware on Android. Its new live threat detection service leverages Google Play Protect’s on-device AI to analyze apps for malicious behavior. The service, announced following the Google I/O developer event on Tuesday, examines various signals related to an app’s use of sensitive permissions and interactions with other apps and services, the company explains.

If it finds suspicious behavior, Google Play Protect will be able to send the app to Google for additional review as well as warn any users who have the app installed, or even disable the app, if warranted.

The detection also takes advantage of Google’s Private Compute Core, the Android privacy infrastructure introduced in 2022 that offers an isolated data processing environment inside of the Android operating system. The idea of the Private Compute Core, or PCC, is to give users control over if, how, or when their data is shared. By using the PCC, the new live threat detection feature can protect users without collecting their data.

Image Credits: Google

Google says it will deploy the system later this year on Google Pixel devices. Other manufacturers will join it, including Oppo, Honor, Lenovo, OnePlus, Nothing, Transsion, Sharp, and more.

The service could help Android users feel more comfortable downloading and using apps from Google Play — although arguably, they’d rather not have downloaded malware in the first place. Rather, they’d like malicious apps to be caught during app review. That’s a focus area for Apple, which regularly touts the benefit of its App Store to consumers and developers. Though bad actors often slip through its cracks, it weeds out many more through its more intensive review system before allowing them to go live on the App Store. Ahead of I/O, Apple announced it had stopped $1.8 billion in fraud on the App Store, for example.

In addition to the live threat detection service, Google announced it will hide one-time passwords from notifications to cut down on a common attack vector for fraud and spyware. It will also expand Android 13’s restricted settings, which will now require additional user approval to enable app permissions when they sideload apps onto their device.

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Thoma Bravo's LogRhythm merges with Exabeam in more cybersecurity consolidation

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Image Credits: Exabream (opens in a new window)

Private equity giant Thoma Bravo has announced that its security information and event management (SIEM) company LogRhythm will be merging with Exabeam, a rival cybersecurity company backed by the likes of Cisco and Lightspeed Venture Partners.

SIEM is the business of using real-time data gleaned from servers, network devices, and applications to flag abnormal activity and thwart potential security threats before they escalate. Consolidation in the space is rife. The LogRhythm and Exabeam merger news arrived on the same day as Palo Alto Networks confirmed it was acquiring the assets of IBM’s SIEM business, QRadar, which IBM had acquired in 2011. It also follows Cisco’s $28 billion megadeal to procure SIEM giant Splunk, a deal that closed in March.

More broadly, the cybersecurity space is awash with M&A activity: Earlier this month, Akamai revealed it was acquiring API security company Noname for $450 million; Permira bought a majority stake in digital fraud detection startup BioCatch at a $1.3 billion valuation; and Thoma Bravo reared its head again to take cybersecurity company Darktrace private in a $5 billion deal.

Elsewhere, cloud security platform Wiz hit a whopping $12 billion valuation on a $1 billion fundraise, an investment it says will be used substantively to scoop up other cybersecurity startups.

LogRhythm, for its part, had raised around $126 million before Thoma Bravo swooped in and acquired a majority stake back in 2018 for an undisclosed figure. Exabeam, meanwhile, took its total funding to nearly $400 million at its $200 million Series F round in 2021. Thoma Bravo hasn’t divulged Exabeam’s valuation at this merger. Exabeam was previously valued at $2.4 billion. Many companies’ valuations have plummeted in the great post-pandemic correction, however, and Exabeam has hit a few bumps. This Reddit post details layoffs seven months ago, for example.

As with just about every sector these days, AI is playing an increasingly pivotal part in the cybersecurity space, and it’s “AI-driven security solutions” that LogRhythm CEO Chris O’Malley says is what Exabeam brings to the table.

“Together, our expertise and shared strategic vision will accelerate innovative AI-driven cybersecurity solutions for customers around the world,” O’Malley said in a statement. “Vigilant CISOs have eagerly awaited the emergence of a strong, customer-obsessed, singularly-focused global leader in AI-driven security operations — one that offers a best-of-breed alternative to the frustratingly complex options on the market today. That day has arrived.”

Thoma Bravo said it expects the merger to close in Q3 2024.

Ampere teams up with Qualcomm to launch an Arm-based AI server

Image Credits: Ampere

Ampere and Qualcomm aren’t the most obvious of partners. Both, after all, offer Arm-based chips for running data center servers (though Qualcomm’s largest market remains mobile). But as the two companies announced today, they are now combining forces to offer an AI-focused server that uses Ampere’s CPUs and Qualcomm’s Cloud AI 100 Ultra AI inferencing chips for running — not training — models.

Like every other chip manufacturer, Ampere is looking to profit from the AI boom. The company’s focus, however, has always been on fast and power-efficient server chips, so while it can use the Arm IP to add some of these features to its chips, it’s not necessarily a core competency. That’s why Ampere decided to work with Qualcomm (and SuperMicro to integrate the two solutions), Arm CTO Jeff Wittich tells me.

“The idea here is that while I’ll show you some great performance for Ampere CPUs running AI inferencing on just the CPUs, if you want to scale out to even bigger models — multi-100 billion parameter models, for instance — just like all the other workloads, AI isn’t one size fits all,” Wittich told TechCrunch. “We’ve been working with Qualcomm on this solution, combining our super efficient Ampere CPUs to do a lot of the general purpose tasks that you’re running in conjunction with inferencing, and then using their really efficient cards, we’ve got a server-level solution.”

Image Credits: Ampere

As for partnering with Qualcomm, Wittich said that Ampere wanted to put together best-of-breed solutions.

“[R]eally good collaboration that we’ve had with Qualcomm here,” he said. “This is one of the things that we’ve been working on, I think we share a lot of really similar interests, which is why I think that this is really compelling. They’re building really, really efficient solutions and a lot of different parts of the market. We’re building really, really efficient solutions on the server CPU side.”

The Qualcomm partnership is part of Ampere’s annual roadmap update. Part of that roadmap is the new 256-core AmpereOne chip, built using a modern 3nm process. Those new chips are not quite generally available yet, but Wittich says they are ready at the fab and should roll out later this year.

On top of the additional cores, the defining feature of this new generation of AmpereOne chips is the 12-channel DDR5 RAM, which allows Ampere’s data center customers to better tune their users’ memory access according to their needs.

The sales pitch here isn’t just performance, though, but the power consumption and cost to run these chips in the data center. That’s especially true when it comes to AI inferencing, where Ampere likes to compare its performance against Nvidia’s A10 GPUs.

Image Credits: Ampere

It’s worth noting that Ampere is not sunsetting any of its existing chips in favor of these new ones. Wittich stressed that even these older chips still have plenty of use cases.

Ampere also announced another partnership today. The company is working with NETINT to build a joint solution that pairs Ampere’s CPUs with NETINT’s video processing chips. This new server will be able to transcode 360 live video channels in parallel, all while also using OpenAI’s Whisper speech-to-text model to subtitle 40 streams.

“We started down this path six years ago because it is clear it is the right path,” Ampere CEO Renee James said in today’s announcement. “Low power used to be synonymous with low performance. Ampere has proven that isn’t true. We have pioneered the efficiency frontier of computing and delivered performance beyond legacy CPUs in an efficient computing envelope.”

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Redwood Materials is partnering with Ultium Cells to recycle GM's EV battery scrap

Image Credits: Redwood Materials

Redwood Materials, the battery recycling startup founded by former Tesla co-founder JB Straubel, will be recycling production scrap for batteries going into General Motors electric vehicles. 

The company announced Thursday that it’s working with Ultium Cells, the joint battery manufacturing venture between GM and LG Energy Solution, to recycle cathode, anode and cell scrap from both their Warren, Ohio and Spring Hill, Tennessee facilities. 

Battery recycling is a hot industry as automakers and battery manufacturers seek to control their battery material supply, rather than rely on China, the global leader in the space. Incentives in the U.S. and in regions like Europe are piling up for recycled and domestically produced critical battery materials — like lithium, nickel, cobalt, manganese and graphite. 

President Joe Biden’s Inflation Reduction Act, signed in August 2022, provides a tax credit for battery manufacturing and critical mineral processing. Redwood benefited directly from that bill passing in February 2023, when the Department of Energy gave the startup a $2 billion loan to build out its battery recycling facility in Nevada. The DOE also gave Ultium Cells a $2.5 billion loan to develop its cell manufacturing facilities in the U.S. 

The runway to actually recycle EV batteries is a long one, since most of those batteries are being produced today and won’t reach the end of their lives for many years. That’s why deals like this one with Ultium to recycle scrap are so important. Redwood — which also has deals with Toyota and Panasonic (which produces batteries for Tesla) — has already become a household name in EV battery recycling, but any startup in this space needs a near-term strategy to stick to stay on the long runway to profits. 

And scrap production is no small feat. A Redwood spokesperson told TechCrunch that the average battery factory generates 5% to 10% in scrap, which translates to Redwood managing around 10,000 tons of material annually — the equivalent of daily truckloads of scrap. 

Redwood will recycle Ultium’s scrap and process it into high-quality battery materials, which are then supplied back to cell manufacturers as domestically produced anode and cathode components, the company said. 

Processing the materials — not just recycling them — is also part of Redwood’s long-term strategy, as the price of materials fluctuates regularly. The big money will come from processing materials, which today usually get sent to Asia for processing and then sent back to the U.S. 

In August 2023, Redwood raised $1 billion to expand its battery recycling facilities, with part of its goal to boost its anode copper foil and cathode active material production capacity. The company said at the time it expected to produce around 100 gigawatt-hours annual capacity of cathode active materials and anode foil, which can power 1 million EVs, by 2025. By 2030, Redwood hopes that production output would scale to 500 GWh per year, which could power 5 million EVs. The company has not confirmed if that timeline is still accurate. 

Ultium Cells’ two facilities that will be supplying scrap to Redwood are each 2.8 million-square-feet operations that are expected to produce more than 80 GWh combined battery cells annually, and Redwood says it will receive the majority of that scrap. In 2021, Ultium also partnered with Canadian battery recycling firm Li-Cycle to recycle scrap, that deal was mutually dissolved, according to GM. Ultium is also in the process of building a third facility in Michigan. Redwood did not say if it will get the scrap from that factory as well.

Update: GM confirmed its deal with Li-Cycle is no longer ongoing.