Google zeroed in on these 3 categories of climate companies to boost
The Voltpost team.
Photo courtesy Voltpost and Google.
Thursday marked the third Demo Day for the Google for Startups Accelerator: Climate Change program, where startups in the program presented the status of their startup, capping off 10 weeks of programming and mentorship from Google’s robust network of in-house experts, training, and credits to use Google technology.
This year, the 12 companies mostly fell into three broad categories: Artificial intelligence, electric vehicle infrastructure, and providing companies with better data to decarbonize their operations. There are a couple exceptions: For example, Sesame Solar is decarbonizing disaster response, and Bodhi is improving the customer experience for home solar installations.
Google’s startup accelerator programs are all focused on using artificial intelligence, and some have industry themes like gaming or the cloud economy, particular geographies like India or Brazil, or underrepresented founders like Black founders or Latino founders. All the programs are equity free, meaning Google does not take a stake in the companies for participating, and so far 1,100 startups have participated since the programs launched in 2016.
For this latest cohort, all of the participants had to be somewhere between their seed and series A rounds of investment, already generating revenue or with an established user base, with five employees or more, and with the potential to benefit from Google’s Cloud, artificial intelligence and machine learning capabilities.
Soupid Roy Chowdhury, founder of Eugenie AI
Photo courtesy Eugenie AI and Google
Matt Ridenour, Head of Startup Ecosystem at Google in the U.S., told CNBC he derives a sense of meaning in supporting climate change startups.
“I care about climate tech for many reasons, but most personally, having three young children, I often think about the world that they are inheriting. When I read the headlines about the dangers of the climate crisis, I feel a personal obligation to be a part of supporting innovative climate solutions to scale,” Ridenour told CNBC. “This is one of the greatest gifts I believe I can offer to my children and future generations.”
The programs are also good for Google business because they get early stage companies using the company’s technology, giving it an early edge over competitors like Amazon, Microsoft and Apple.
“Google sees value in supporting the best startups and founders around the world. As they work with our people, products and tools, we mutually benefit. And supporting early stage companies sparks further innovation in the ecosystem, providing further opportunities for developers to build their business on Google products — like Cloud and Android for example,” Ridenour told CNBC.
Google has hosted three climate change startup accelerators for North American companies in the last three years, and all 33 of the participants are all still operating, a spokesperson for Google told CNBC.
The Sesame Solar team.
Photo courtesy Sesame Solar and Google.
Using artificial intelligence to fight climate change
Alphabet-owned Google is itself in the midst of a company-wide push to focus on improving its product offerings with artificial intelligence. Many of the companies in the latest climate change accelerator employ AI and machine learning to help with various tasks such as agricultural soil monitoring, decarbonization of commercial buildings, and improving the process of recycling textiles.
“Teams are leaning deeper into developing AI and ML models to address climate change,” Ridenour told CNBC. “By partnering with emerging technologies like these, startups can have an outsized positive impact, developing solutions and innovations faster and more accurately than ever before.”
Agrology helps farmers adapt to climate change by providing field-level data on smoke, drought, irrigation optimization, microclimate weather forecasts from extreme weather, pest and disease outbreaks. Also, Agrology has a system to monitor the carbon content in soil to help farmers quantify carbon sequestration they achieve with regenerative farming practices and, if they are interested, participate in the carbon credit markets.
The Agrology team working on a farm.
Photo courtesy Agrology and Google.
During the Google accelerator, Agrology made its product more accurate.
“Through mentorship they received in the accelerator, Agrology was able to build a new, more efficient API that uses integrated Google Machine Learning products, increasing their training and testing dataset by over 400%, and reducing their error rate by 4x,” Ridenour told CNBC. “This will help them deliver more accurate data to farmers so they can grow better and more sustainably.”
Another startup within the cohort, Cambio, is using AI to help companies decarbonize large commercial buildings.
“Once companies have set their climate pledges, they find that data tracking and decarbonization across any real estate, whether it’s owned or occupied, is the hardest part of their sustainability journey. Implementation remains a blackbox,” Stephanie Grayson, a co-founder of Cambio, said on Thursday during the demo day.
Cambio provides a baseline carbon footprint for a building, and then uses AI based on previous building projects and recommendations from leading building scientists and data scientists to provide the customer with a path on how to get that building to net-zero. “The bottom line is we’re democratizing best in class building science across the industry at large,” Grayson said.
Leia de Guzman and Stephanie Grayson, co-founders of Cambio.
Photo courtesy Cambio and Google.
“During the accelerator, Cambio was able to connect with Google’s real estate team to get direct product feedback and discuss the topic of decarbonizing buildings,” Ridenour told CNBC. “Armed with Cambio’s ML models, managers can plot an entire real estate portfolio’s path to net zero, a near-term requirement for publicly-traded companies as part of the SEC’s latest carbon emissions transparency proposal.”
Another example is Refirberd, which is using spectroscopy and artificial intelligence to sort recycled textiles, remove buttons and zippers, and send processed textiles to the recycler that can best manage that particular batch of textiles.
Eugenie.AI uses artificial intelligence to help heavy manufacturers track their emissions, report that data for any relevant compliance standards and reduce those emissions with recommendations on how to solve a particular problem.
Refiberd co-founders, Sarika Bajaj and Tushita Gupta.
Photo courtesy Refiberd and Google.
Electric vehicle infrastructure
“As cars become more and more electrified, a variety of startups are tackling the massive EV industry opportunity in creative ways,” Ridenour told CNBC. Indeed, 14% of new cars sold in 2022 that were electric, up from 9% in 2021 and less than 5% in 2020, according to the International Energy Agency.
Batt Genie, one of the startups Google picked for its most recent climate change cohort, was spun out of Venkat Subramanian’s labs at the University of Washington and uses software to improve the function and efficiency of lithium ion batteries, which are used in consumer electronics, electric vehicles and grid storage battery applications.
The battery management system, or BMS, in a lithium ion battery monitors how much charge is left and regulates charging. Batt Genie’s software aims to makes the BMS system more efficient and productive. If a traditional electric vehicle battery lasts for about six years, the same battery can last for 12 years with Batt Genie’s improved BMS, CEO Manan Pathak said on Thursday.
The Electric Fish team.
Photo courtesy Electric Fish and Google.
Another startup within the cohort, ElectricFish Energy, is making an energy storage system that both charges electric vehicles quickly which have smart chargers that store cheap, clean power from the grid when it is available.
“The current state of electric grid is fundamentally broken,” Anurag Kamal, CEO ElectricFish, said on Thursday. “We are the only ones who understands that EV charging is incredibly connected to feeding energy back to the grid itself,” meaning that the ElectricFish device can serve as a source of backup power.
Another company working to improve EV infrastructure is Voltpost, which converts lampposts into electric vehicle chargers. Voltpost has partnered with the New York City Department of Transportation to pilot its lamp posts into EV chargers. And Voltpost is also conducting a pilot at the Detroit Smart Parking Lab in Michigan. During the accelerator, Voltpost connected with the Google Maps team to discuss whether electric vehicle charging locations could be added to Google Maps or Android Auto.
Decarbonization data and reporting
The third area of focus for the startups included in the climate change cohort was improving the data companies use to track their own emissions.
“As governments require more carbon emissions reporting, companies need better data to track their emissions. Startups are offering better analysis and tracking to help customers and consumers understand their emissions and gain actionable recommendations on how to operate more sustainably,” Ridenour told CNBC.
For example, Cleartrace provides auditable emissions data for companies.
“The issue is data around the electricity space, the energy space, and the environmental reporting space, is very hard to come by, very siloed, very error prone,” CEO Lincoln Payton said on Thursday. Before starting Cleartrace, Payton was the head of investment banking for BNP Paribas Americas. “I retired from that to address the biggest issue I saw, which is the quality data available in the transfer to the renewable energy world.”
The Cleartrace team.
Photo courtesy Cleartrace and Google.
Cleartrace is particularly focused on measurement techniques for Scope 3 emissions — emissions associated with a company’s entire supply chain or value chain, which can be fiendishly difficult to track. It’s also looking at helping companies certify how green their operations are, particularly for processes like direct air capture of CO2 emissions and hydrogen production.
Another data-focused company is Finch, which puts sustainability scores on products to help consumers make more climate-conscious shopping decisions. Finch has a browser extension that works on Amazon and Target websites and gives products a sustainability rating between zero and ten, then suggests a more sustainable alternative if applicable.
“For most of the population who believes in climate change and wants to do something about it, but doesn’t necessarily have more than seven minutes to research it online, this is a perfect solution,” Lizzie Horvitz, the founder and CEO of Finch said on Thursday.
Finch sells the data it gathers from consumer behavior to clients, including manufacturers and investors, Horvitz said.
“We are able to see who is buying what and why — that women, for instance, between the ages of 35 and 40 are twice as likely to buy aluminum-free deodorant as men of the same age and location,” said Horvitz.
This kind of data closes what Horvitz calls the “say and do gap,” meaning the difference between what consumers say they will do in a focus group, and what they actually do at checkout.
Technology
Blip, dip, pullback or the beginning of the end? Global investors weigh in on stock sell-off
Global investor sentiment for artificial intelligence remains buoyant, despite on the ongoing stock sell-off.
European and Asia markets have seen days of consecutive losses, tracking their U.S. counterparts lower as pressures mount on AI-related stocks and their valuations. The pan-European Stoxx 600 on Tuesday notched its lowest level in a month, with major bourses opening mixed on Wednesday, while Asia-Pacific markets fell.
Stateside, stock futures were little changed overnight after major U.S. indexes extended their losses. AI-related stocks such as Nvidia, Palantir, and Microsoft are among those feeling the pressure.
“We do think this is an AI specific pullback. We don’t think this is the beginning of the bear market,” Emma Wall, head of investment analysis at Hargreaves Lansdown, told CNBC’s “Squawk Box Europe.”
When considering whether this is the “beginning of the end” or a moment marking “the big pullback,” Wall argued that while we are overdue a “major global market correction,” the current downturn is yet to bring this shift.
Many markets outside of the U.S. — particularly in Europe and the U.K. — already reflect much of the negative news, she said, adding that she sees the pressure as sector specific.
It is, however, an opportunity to rebalance portfolios, as “even taking into consideration this week, most people have had a really good run, even in AI stocks,” Wall said.
Mike Wilson, chief U.S. equity strategist and chief investment officer at Morgan Stanley, echoed this sentiment. He said markets have been in a correction for the past six weeks but “it’s not the end of the AI cycle.”
All eyes are on Nvidia, considered the bellwether of AI, as it’s due to post third-quarter earnings after the closing bell on Wednesday.
“Whatever happens tonight is, if it is a blip, is a pullback, it’s probably a dip to be bought. But I think we are in the midst of somewhat of a correction right now,” Wilson told CNBC’s “Inside India,” adding that he thinks it’s the middle-inning.
“The credit part of this spending is just beginning, meaning we’re just starting to raise money in the credit markets. It’s not like that money is going to sit there and they’re not going to spend it, which means there’s probably time on the clock with these intermittent kind of pullbacks,” he added.
Companies and investors are engaged in a delicate dance.
On one side, AI labs and their partners are making big promises and aggressive plays, according to Jason Thomas, head of global research and investment strategy at Carlyle. “But it’s not incumbent upon investors to believe them,” he told CNBC’s Julianna Tatelbaum, from the firm’s annual conference.
“Investors, of course, have to ensure that they are getting compensated for the risk that things don’t work out quite as planned, and I think that there’s a sense that perhaps there’s been some assets in the space that have been priced to best case scenarios. So I think that that’s the reassessment that’s going on right now,” he said.
Hyperscalers’ rising capex
The sell-off comes as the pace of debt dealmaking picks up, fueling speculation that it may have unsettled investors, many of whom have remained bullish on AI as long as companies post sound earnings. Google-owner Alphabet and Meta have issued bonds, for example.
“It’s not a problem, as long as the funding markets are there, meaning they’re raising the debt,” Wilson added. “I mean, there’s investors lined up,” he said.
It does however, become a problem when this is no longer the case, but “we haven’t seen that yet,” he said.
AI has fundamentally changed the strategy for many Big Tech firms, particularly when it comes to U.S. hyperscalers, which have morphed into capex-heavy companies from once asset-light businesses. Global investors are now assessing this new dynamic. Bank of America‘s latest Global Fund Managers Survey found that, for the first time in two decades, fund managers are concerned about hyperscalers “overinvesting.“
“[Hyperscalers] traded at very high price-to-book ratios, which made a lot of sense. You don’t value a money-printing machine based on the cost of the paper or based on the cost of the printing press. And that’s essentially what they were, these massive money printing machines where most of their assets were intangible, proprietary technology, the digital platforms,” said Carlyle’s Thomas.
“Now they’ve actually started to invest so much that 70% of their cash flow is being consumed by capital spending and, if you look at their book value now, 70% actually consists of property, plant and equipment, largely data centers. That’s a four-fold increase from a decade ago,” he added.
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