manufacturing

Auto Added by WPeMatico

6 investment trends that could emerge from the COVID-19 pandemic

Rocio Wu
Contributor

Rocio Wu is a venture partner at F-Prime Capital who focuses on early-stage investments in software/applied AI, fintech and frontier tech investments.

While some U.S. investors might have taken comfort from China’s rebound, we still find ourselves in the early innings of this period of uncertainty.

Some epidemiologists have estimated that COVID-19 cases will peak in April, but PitchBook reports that dealmaking was down -26% in March, compared to February’s weekly average. The decline is likely to continue in coming weeks — many of the deals that closed last month were initiated before the pandemic, and there is a lag between when deals are made and when they are announced.

However, there’s still hope. A recent report concluded that because valuations are lower and there’s less competition for deals, “the best-performing vintages tend to be those that invest at the nadir of a downturn and into the early stage of recovery.” There are countless examples from the 2008 recession, including many highly valued VC-backed businesses such as WhatsApp, Venmo, Groupon, Uber, Slack and Square. Other early-stage VCs seem to have arrived at a similar conclusion.

Also, early-stage investing seems more resilient. During the last recession, angel and seed activity increased 34% as interest in the stage boomed during a period of prolonged growth.

Furthermore, there is still capital to be deployed in categories that interested investors before the pandemic, which may set the new order in a post-COVID-19 world. According to data provider Preqin Ltd., VC dry powder rose for a seventh consecutive year to roughly $276 billion in 2019, and another $21 billion were raised last quarter. And looking at the deals on the early-stage side that were made year to date, especially in March, the vertical categories that garnered the most funding were enterprise SaaS, fintech, life sciences, healthcare IT, edtech and cybersecurity.

Image Credits: PitchBook

That said, if VCs have the capital to deploy and are able to overcome the obstacle of “having never met in person,” here are six investment trends that could emerge when the pandemic is over.

1. Future of work: promoting intimacy and trust

Powered by WPeMatico

WorkClout shifts focus to manufacturing performance support and raises $2.3M seed

WorkClout, a graduate of the Y Combinator Winter 2019 cohort, announced today that it has shifted its focus from manufacturing automation to manufacturing performance support and has raised a $2.3 million seed round.

The funding was led by Spider Capital with participation from Y Combinator, Liquid 2, Soma Capital, Pioneer Fund, Mehta Ventures and several individual investors.

When the company launched last year, it was looking at helping customers drive operational efficiency in their processes, but WorkClout founder and CEO Arjun Patel says they were seeing that there was a ceiling in terms of how much efficiency they could squeeze out of work processes using software.

At that point, Patel decided to take a step back and do some research to figure out how WorkClout could best help manufacturing customers with its software-based solutions. After surveying 124 manufacturers, he says that he realized that these companies really needed help training front-line workers, an area he says is called performance support.

“We found that most of the companies were saying that employees are the biggest challenge that they have to face in terms of how to engage them better or how to empower them better, because ultimately they realize people, even if there is automation, are still the driving force for a lot of sectors,” Patel told TechCrunch.

Towards the end of last year, the company built a new tool to help customers train employees for complex front-line tasks. The workers might have a phone or tablet, which shows them how to complete each task, and gives them feedback as they move through a set of tasks. It also enables these workers to communicate with one another and with management about issues they are seeing on the line. Managers can monitor communication and see how workers are doing on a back-end system in the office.

“We gave them the ability to allow employees to capture and share critical information in real time on the factory floor, where the goal is to actually create standardized multimedia and training content for machines, processes and stations, allowing new and existing employees to get better insight into their work, and at the same time, allowing employees to communicate better about problems on the floor and reduce downtime,” he explained.

Patel recognizes that this is a difficult time to pivot, but says he believes it puts the company in a better position to succeed in the long term. He has cut the team from nine to five employees in an effort to run lean for the short term.

He hopes to begin hiring again in the fourth quarter this year or, at the latest, by Q1 next year. He plans to use that time to build out the product and prepare for a big go-to market push whenever the economy begins to rebound.

He sees this money giving him a long runway of 2.5 years with the company’s current burn and revenue rates, and that should give him enough time to wait out the current economic downturn.

Powered by WPeMatico

Estimote launches wearables for workplace-level contact tracing for COVID-19

Bluetooth location beacon startup Estimote has adapted its technological expertise to develop a new product designed specifically for curbing the spread of COVID-19. The company created a new range of wearable devices that co-founder Steve Cheney believes can enhance workplace safety for those who have to be co-located at a physical workplace even while social distancing and physical isolation measures are in place.

The devices, called simply the “Proof of Health” wearables, aim to provide contact tracing — in other words, monitoring the potential spread of the coronavirus from person-to-person — at the level of a local workplace facility. The intention is to give employers a way to hopefully maintain a pulse on any possible transmission among their workforces and provide them with the ability to hopefully curtail any local spread before it becomes an outsized risk.

The hardware includes passive GPS location tracking, as well as proximity sensors powered by Bluetooth and ultra-wide-band radio connectivity, a rechargeable battery and built-in LTE. It also includes a manual control to change a wearer’s health status, recording states like certified health, symptomatic and verified infected. When a user updates their state to indicate possible or verified infection, that updates others they’ve been in contact with based on proximity and location-data history. This information is also stored in a health dashboard that provides detailed logs of possible contacts for centralized management. That’s designed for internal use within an organization for now, but Cheney tells me he’s working now to see if there might be a way to collaborate with WHO or other external health organizations to potentially leverage the information for tracing across enterprises and populations, too.

These are intended to come in a number of different form factors: the pebble-like version that exists today, which can be clipped to a lanyard for wearing and displaying around a person’s neck; a wrist-worn version with an integrated adjustable strap; and a card format that’s more compact for carrying and could work alongside traditional security badges often used for facility access control. The pebble-like design is already in production and 2,000 will be deployed now, with a plan to ramp production for as many as 10,000 more in the near future using the company’s Poland-based manufacturing resources.

Estimote has been building programmable sensor tech for enterprises for nearly a decade and has worked with large global companies, including Apple and Amazon . Cheney tells me that he quickly recognized the need for the application of this technology to the unique problems presented by the pandemic, but Estimote was already 18 months into developing it for other uses, including in hospitality industries for employee safety/panic button deployment.

“This stack has been in full production for 18 months,” he said via message. “We can program all wearables remotely (they’re LTE connected). Say a factory deploys this — we write an app to the wearable remotely. This is programmable IoT.

“Who knew the virus would require proof of health vis-a-vis location diagnostics tech,” he added.

Many have proposed technology-based solutions for contact tracing, including leveraging existing data gathered by smartphones and consumer applications to chart transmission. But those efforts also have considerable privacy implications, and require use of a smartphone — something Cheney says isn’t really viable for accurate workplace tracking in high-traffic environments. By creating a dedicated wearable, Cheney says that Estimote can help employers avoid doing something “invasive” with their workforce, since it’s instead tied to a fit-for-purpose device with data shared only with their employers, and it’s in a form factor they can remove and have some control over. Mobile devices also can’t do nearly as fine-grained tracking with indoor environments as dedicated hardware can manage, he says.

And contact tracing at this hyperlocal level won’t necessarily just provide employers with early warning signs for curbing the spread earlier and more thoroughly than they would otherwise. In fact, larger-scale contact tracing fed by sensor data could inform new and improved strategies for COVID-19 response.

“Typically, contact tracing relies on the memory of individuals, or some high-level assumptions (for example, the shift someone worked),” said Brianna Vechhio-Pagán of John Hopkins University’s Applied Physics Lab via a statement. “New technologies can now track interactions within a transmissible, or ~6-foot range, thus reducing the error introduced by other methods. By combining very dense contact tracing data from Bluetooth and UWB signals with information about infection status and symptoms, we may discover new and improved ways to keep patients and staff safe.”

With the ultimate duration of measures like physical distancing essentially up-in-the-air, and some predictions indicating they’ll continue for many months, even if they vary in terms of severity, solutions like Estimote’s could become essential to keeping essential services and businesses operating while also doing the utmost to protect the health and safety of the workers incurring those risks. More far-reaching measures might be needed, too, including general-public-connected, contact-tracing programs, and efforts like this one should help inform the design and development of those.

Powered by WPeMatico

Kepler will build its small satellites at a new manufacturing facility in Toronto

Satellite communications startup Kepler will manufacture its small satellites going forward at a new 5,000-square-foot facility in Toronto, Ontario, Canada . The company is working with partners, including the Canadian Space Agency and the University of Toronto, on the new facility, which will also incorporate design and development of its satellites in addition to manufacturing.

Already, Kepler operates two satellites currently in orbit, and has demonstrated the capabilities of its technology by delivering a high-speed internet data connection to the North Pole for the first time late last year. These spacecraft were designed by Kepler, but manufactured via third-parties through contracting agreements. With the new facility, Kepler says it’ll be able to “vertically integrate the development, production and testing of its future spacecraft.”

This will help the startup achieve its goal of producing, launching and operating a constellation of 140 satellites in total, which will provide high-bandwidth connectivity aimed for use in a range of industries, including agriculture, transportation and maritime shipping and logistics, to name a few. This new in-house facility will support mass production of the small satellites it requires to build out its fleet, while providing cost benefits versus outsourcing over time.

The small satellite industry is one of the parts of commercial space that has seen the biggest increase in demand, especially since relatively affordable launch vehicles like SpaceX’s Falcon 9 have expanded the pool of potential companies building and operating satellites and constellations. Bringing satellite manufacturing in-house puts Kepler in rare company as one of the few small sat companies that owns the whole stack, which should be a big competitive advantage relative to the market going forward.

In terms of when the facility will be putting out satellites that Kepler plans to actually launch, the company currently plans to launch its final demonstration satellite, which is already built under its prior contractor arrangement, this spring. Then, it intends to launch the first commercial satellites produced by this new facility starting this summer, with an additional two launches planned for later in the year.

Powered by WPeMatico

Odoo grabs $90M to sell more SMEs on its business app suite

Belgium-based all-in-one business software maker Odoo, which offers an open source version as well as subscription-based enterprise software and SaaS, has taken in $90 million led by a new investor: Global growth equity investor Summit Partners.

The funds have been raised via a secondary share sale. Odoo’s executive management team and existing investor SRIW and its affiliate Noshaq also participated in the share sale by buying stock — with VC firms Sofinnova and XAnge selling part of their shares to Summit Partners and others.

Odoo is largely profitable and grows at 60% per year with an 83% gross margin product; so, we don’t need to raise money,” a spokeswoman told us. “Our bottleneck is not the cash but the recruitment of new developers, and the development of the partner network.

“What’s unusual in the deal is that existing managers, instead of cashing out, purchased part of the shares using a loan with banks.”

The 2005-founded company — which used to go by the name of OpenERP before transitioning to its current open core model in 2015 — last took in a $10M Series B back in 2014, per Crunchbase.

Odoo offers some 30 applications via its Enterprise platform — including ERP, accounting, stock, manufacturing, CRM, project management, marketing, human resources, website, eCommerce and point-of-sale apps — while a community of ~20,000 active members has contributed 16,000+ apps to the open source version of its software, addressing a broader swathe of business needs.

It focuses on the SME business apps segment, competing with the likes of Oracle, SAP and Zoho, to name a few. Odoo says it has in excess of 4.5 million users worldwide at this point, and touts revenue growth “consistently above 50% over the last ten years”.

Summit Partners told us funds from the secondary sale will be used to accelerate product development — and for continued global expansion.

“In our experience, traditional ERP is expensive and frequently fails to adapt to the unique needs of dynamic businesses. With its flexible suite of applications and a relentless focus on product, we believe Odoo is ideally positioned to capture this large and compelling market opportunity,” said Antony Clavel, a Summit Partners principal who has joined the Odoo board, in a supporting statement.

Odoo’s spokeswoman added that part of the expansion plan includes opening an office in Mexico in January, and another in Antwerpen, Belgium, in Q3.

This report was updated with additional comment

Powered by WPeMatico

Anyscale, from the creators of the Ray distributed computing project, launches with $20.6M led by a16z

Open source has become a critical building block of modern software, and today a new startup is coming out of stealth to capitalise on one of the newer frontiers in open source: using it to build and manage distributed application environments, an approach being used increasingly to handle large computing projects, such as those involving artificial intelligence or scientific or other complex calculations.

Anyscale, a startup founded by the same team that built the Project Ray open-source distributed programming framework out of UC Berkeley — Robert Nishihara, Philipp Moritz and Ion Stoica, and Berkeley professor Michael I. Jordan — has raised $20.6 million in a Series A round of funding led by Andreessen Horowitz, with participation also from NEA, Intel Capital, Ant Financial, Amplify Partners, 11.2 Capital and The House Fund.

The company plans to use the money to build out its first commercial products — details of which are still being kept under wraps but will more generally include the ability to easily scale out a computing project from one laptop to a cluster of machines; and a group of libraries and applications to manage projects. These are expected to launch next year.

“Right now we are focused on making Ray a standard for building applications,” said Stoica in an interview. “The company will build tools and a runtime platform for Ray. So, if you want to run a Ray application securely and with high performance then you will use our product.”

The funding is partly strategic: Intel is one of the big companies that has been using Ray for its own computing projects, alongside Amazon, Microsoft and Ant Financial.

“Intel IT has been leveraging Ray to scale Python workloads with minimal code modifications,” said Moty Fania, principal engineer and chief technology officer for Intel IT’s Enterprise and Platform Group, in a statement. “With the implementation into Intel’s manufacturing and testing processes, we have found that Ray helps increase the speed and scale of our hyperparameter selection techniques and auto modeling processes used for creating personalized chip tests. For us, this has resulted in reduced costs, additional capacity and improved quality.”

With an impressive user list like this for the free-to-use Ray, you might ask yourself, what is the purpose of Anyscale? As Stoica and Nishihara explained, the idea will be to create simpler and easier ways to implement Ray, to make it usable whether you’re one of the Amazons of the world, or a more modest, and possibly less tech-centric operation.

“We see that this will be valuable mostly for companies who do not have engineering experts,” Stoica said.

The problem that Anyscale is solving is a central one to the future of large-scale, involved computing projects: there are an increasing array of problems that are being tackled with computing solutions, but as the complexity of the work involved increases, there is a limit to how much work a single machine (even a big one) can handle. (Indeed, Anyscale cites IDC figures estimating that the amount of data created and copied annually will reach 175 zettabytes by 2025.)

While one day there may be quantum-computing machines that can run efficiently and at scale to address these kinds of tasks, today this isn’t a realistic option, and so distributed computing has emerged as a solution.

Ray was devised as a standard to use to implement distributed computing environments, but on its own it’s too technical for the uninitiated to use.

“Imagine you’re a biologist,” added Nishihara. “You can write a simple program and run it at a large scale, but to do that successfully you need not only to be a biology expert but a computing expert. That’s just way too high a barrier.”

The people behind Anyscale (and Ray) have a long and very credible list of other work behind them that speaks to the opportunities that are being spotted here. Stoica, for example, was also the co-founder of Databricks, Conviva and one of the original developers of Apache Spark.

“I worked on Databricks with Ion and that’s how it started,” Andreessen Horowitz co-founder Ben Horowitz said in an interview. He added that the firm has been a regular investor into projects coming out of UC Berkeley. Ray, and more specifically Anyscale, is notable for its relevance to today’s computing needs.

“With Ray it was a very attractive project because of the open-source metrics but also because of the issue it addresses,” he said.

“We’ve been grappling with Moore’s Law being over, but more interestingly, it’s inadequate for things like artificial intelligence applications,” where increasing computing power is needed that outstrips what any single machine can do. “You have to be able to deal with distributed computing, but the problem for everyone but Google is that distributed computing is hard, so we have been looking for a solution.”

Powered by WPeMatico

$125 million for Inscripta may usher in the next wave of genetic engineering

In these waning days of the second decade of the twenty-first century, technologists and investors are beginning to lay the foundations for new, truly transformational technologies that have the potential to reshape entire industries and rewrite the rules of human understanding.

It may sound lofty, but new achievements from businesses and research institutions in areas like machine learning, quantum computing and genetic engineering mean that the futures imagined in science fiction are  simply becoming science.

And among the technologies that could potentially have the biggest effect on the way we live, nothing looms larger than genetic engineering.

Investors and entrepreneurs are deploying hundreds of millions of dollars to create the tools that researchers, scientists and industry will use to re-engineer the building blocks of life to perform different functions in agriculture, manufacturing and medicine.

One of these companies, 10X Genomics, which gives users hardware and software to determine the functionality of different genetic code, has already proven how lucrative this early market can be. The company, which had its initial public offering earlier this year, is now worth $6 billion.

Another, the still-private company Inscripta, is helmed by a former 10X Genomics executive. The Boulder, Colo.-based startup is commercializing a machine that can let researchers design and manufacture small quantities of new organisms. If 10X Genomics is giving scientists and businesses a better way to read and understand the genome, then Inscripta is giving those same users a new way to write their own genetic code and make their own organisms.

It’s a technology that investors are falling over themselves to finance. The company, which closed on $105 million in financing earlier in the year (through several tranches, which began in late 2018), has just raised another $125 million on the heels of launching its first commercial product. Investors in the round include new and previous investors like Paladin Capital Group, JS Capital Management, Oak HC/FT and Venrock.

“Biology has unlimited potential to positively change this world,” says Kevin Ness, the chief executive of Inscripta . “It’s one of the most important new technology forces that will be a major player in the global economy.”

Ness sees Inscripta as breaking down one of the biggest barriers to the commercialization of genetic engineering, which is access to the technology.

While genome centers and biology foundries can manufacture massive quantities of new biological material  for industrial uses, it’s too costly and centralized for most researchers. “We can put the biofoundry capabilities into a box that can be pushed to a global researcher,” says Ness.

Earlier this year, the company announced that it was taking orders for its first bio-manufacturing product; the new capital is designed to pay for expanding its manufacturing capabilities.

That wasn’t the only barrier that Inscripta felt that it needed to break down. The company also developed a proprietary biochemistry for gene editing, hoping to avoid having to pay fees to one of the two laboratories that were engaged in a pitched legal battle over who owned the CRISPR technology (the Broad Institute and the University of California both had claims to the  technology).

Powered by WPeMatico

Salesforce doubles down on verticals, launches Manufacturing and Consumer Goods Clouds

As legacy industries make the migration to cloud-based digital solutions to run and grow their businesses, Salesforce is hoping that it will get a cut of the action when it comes to their IT investments. The CRM giant has been doubling down on building specialised solutions for individual industry verticals, and today, it is unveiling new business units dedicated to not one but two of them: manufacturing and consumer goods.

The Manufacturing Cloud and Consumer Goods Cloud, as the two new products are called, are the latest in a list of other vertical-specific products the company has created. Other verticals targeted to date include finance, healthcare, media, nonprofits and retail.

The idea behind Salesforce’s strategy to build industry-specific solutions is that while the CRM and sales processes that go into manufacturing and consumer goods do have some aspects in common with other industries, both also have relatively specific requirements, too, around how sales are agreed and clients are managed.

In the case of manufacturing and consumer goods, both are capital-intensive businesses where those working on the physical products might be very removed from those working on sales (not just in terms of job functions, but in terms of the software that’s used to manage each operation), or those who are in the field who are helping to distribute those goods to the people ultimately selling them.

“In the manufacturing industry, changing customer and market demands can have a devastating effect on the bottom line, so being able to understand what is happening on the ground is imperative for success,” said Cindy Bolt, SVP and GM, Salesforce Manufacturing, in a statement. “Manufacturing Cloud bridges the gap between sales and operations teams while ensuring more predictive and transparent business, so they can build deeper and more trusted relationships with their customers.”

In both the cases of manufacturing and consumer goods, Salesforce is not creating these services out of thin air: the company had already been touting solutions for both sectors as part of its bigger push into specific industries. Past acquisitions of companies like Steelbrick — a specialist in quote-to-cash solutions, a cornerstone of how manufacturing sales are made — are likely to have played a contributing role in how the new clouds were built.

With the Manufacturing Cloud, Salesforce says that it has included a feature for sales agreements that link up with a company’s ERP and forecasting software to be able to better predict demand from individual customers as well as the wider market. The services are also coming with more analytical insights by way of Einstein Analytics, and more functionality to work with channel partners. Third parties working with Salesforce on joint solutions using Marketing Cloud include Acumen Solutions, Deloitte and Rootstock.

The Consumer Goods Cloud has some parallel with the Manufacturing Cloud, in that both are targeting businesses that are by their nature and by legacy very rooted in physical goods and are therefore not easily “disrupted” by digital innovation. Indeed, despite all that we hear about the might of Amazon and e-commerce, a full 95% of products are still sold in physical stores. That system has a lot of drawbacks, not least of them being challenges with consumer goods brands having accurate control over how products are distributed and ultimately sold.

“Retail execution remains one of the most important pieces of a consumer goods brands strategy, but so much opportunity is wasted if the field rep doesn’t have the data and technology needed to make smart decisions,” said John Strain, GM and SVP, Retail and Consumer Goods at Salesforce, in a statement. “Consumer Goods Cloud provides these field reps with the tools they need to be successful on the ground while helping build both business opportunities and stronger relationships with their retail partners.”

The company, citing research from PwC, claims that of the $200 billion that’s spent in the U.S. by consumer goods companies each year on merchandising, marketing and sales efforts for in-store sales, some $100 billion of that spend is never used in the way it was originally intended. (That’s one reason so many consumer goods companies have jumped into social media: it’s a way of connecting better and more directly, at least with the customers.)

That represents a huge area to tackle for a company likes Salesforce, and the Consumer Goods Cloud is the start of that effort. The product covers software that addresses areas optimising visits to stores, improving relationships with retailers, using Einstein insights for analytics and ordering software. Partners in the effort include Accenture and PwC.

Another important thing to note here is that Salesforce’s move into the area comes as a competitive strike: Not only are there companies out there that have built products specifically for these markets — Sysco for consumer goods, and Atlatl Software for manufacturing, for example — but Salesforce has to contend with general rivals such as Microsoft and SAP also targeting the same potential customers.

As of last quarter, Sales Cloud now accounts for more than one-quarter of Salesforce’s revenues, but today’s news underscores how “sales” is becoming a more complex and nuanced topic for the company as its business continues to grow, and as cloud-based digital processes become ever more ubiquitous across all sectors beyond simply knowledge workers. As Salesforce builds out more solutions to meet every kind of enterprise’s needs, it’s likely there will be more vertical-specific tools making their way to the platform.

Powered by WPeMatico

Y Combinator-backed Holy Grail is using machine learning to build better batteries

For a long, long time, renewable energy proponents have considered advancements in battery technology to be the Holy Grail of the industry.

Advancements in energy storage has been among the hardest to achieve economically, thanks to the incredibly tricky chemistry that’s involved in storing power.

Now, one company that’s launching from Y Combinator believes it has found the key to making batteries better. The company is called Holy Grail and it’s launching in the accelerator’s latest cohort.

With an executive team that initially included Nuno Pereira, David Pervan and Martin Hansen, Holy Grail is trying to bring the techniques of the fabless semiconductor industry to the world of batteries.

The company’s founders believe that the only way to improve battery functionality is to take a systems approach to understanding how different anodes and cathodes will work together. It sounds simple, but Pereira says the computational power hadn’t existed to take into account all of the variables that go along with introducing a new chemical to the battery mix.

“You can’t fix a battery with just a component,” Pereira says. “All of the batteries that were created and failed in the past. They create an anode, but they don’t have a chemical that works with the cathode or the electrolyte.”

For Pereira, the creation of Holy Grail is the latest step on a long road of experimentation with mechanical and chemical engineering. “As a kid I was more interested in mechanical engineering and building stuff,” he says. But as he began tinkering with cars and became fascinated with mobility, he realized that batteries were the innovation that gave the world its charge.

In 2017 Pereira founded a company called 10Xbattery, which was making high-density lithium batteries. That company, launching with what Pereira saw as a better chemistry, encapsulated the industry’s problem at large — the lack of a holistic approach to development.

So, with the help of a now-departed co-founder, Pereira founded Holy Grail. “He essentially told me, ‘Do you want to take a step back and see if there’s a better way to do this?’ ” said Pereira.

The company pitches itself as science fiction coming from the future, but it relies on a combination of what are now fairly standard (at least in the research community) tools. Holy Grail’s pitch is that it can automate much of the research and development process to create new batteries that are optimized to the specifications of end customers.

“It’s hard for a human to do the experiments that you need and to analyze multidimensional data,” says Pereira. “There are some companies that only do the machine-learning part and the computational science part and sell the results to companies. The problem is that there’s a disconnection between experimental reality and the simulations.”

Using computer modeling, chemical engineering and automated manufacturing, Holy Grail pitches a system that can get real test batteries into the hands of end customers in the mobility, electronics and utility industries orders of magnitude more quickly than traditional research and development shops.

Currently the system that Holy Grail has built out can make 700 batteries per day. The company intends to  build a pilot plant that will make batteries for electronics and drones. For automotive and energy companies, Holy Grail says it will partner with existing battery manufacturers that can support the kind of high-throughput manufacturing big orders will require.

Think of it like bringing the fabless chip design technologies and business models to the battery industry, says Pereira.

Holy Grail already has $14 million in letters of intent with potential customers, according to Pereira, and is expecting to close additional financing as it exits Y Combinator.

To date the company has been backed by the London-based early-stage investment firm Deep Science Ventures, where Pereira worked as an entrepreneur in residence.

Ultimately, the company sees its technology being applied far beyond batteries as a new platform for materials science discoveries broadly. For now, though, the focus is on batteries.

“For the low volume we sell direct,” says Pereira. “While on high-volume production, we will implement a pilot line through the system… we are able to do the research engineering with the small ones and test the big ones. In our case when we have a cell that works, it’s not something that works in a lab, it’s something that works in the final cell.”

Powered by WPeMatico

How Facebook does IT

If you have ever worked at any sizable company, the word “IT” probably doesn’t conjure up many warm feelings. If you’re working for an old, traditional enterprise company, you probably don’t expect anything else, though. If you’re working for a modern tech company, though, chances are your expectations are a bit higher. And once you’re at the scale of a company like Facebook, a lot of the third-party services that work for smaller companies simply don’t work anymore.

To discuss how Facebook thinks about its IT strategy and why it now builds most of its IT tools in-house, I sat down with the company’s CIO, Atish Banerjea, at its Menlo Park headquarter.

Before joining Facebook in 2016 to head up what it now calls its “Enterprise Engineering” organization, Banerjea was the CIO or CTO at companies like NBCUniversal, Dex One and Pearson.

“If you think about Facebook 10 years ago, we were very much a traditional IT shop at that point,” he told me. “We were responsible for just core IT services, responsible for compliance and responsible for change management. But basically, if you think about the trajectory of the company, were probably about 2,000 employees around the end of 2010. But at the end of last year, we were close to 37,000 employees.”

Traditionally, IT organizations rely on third-party tools and software, but as Facebook grew to this current size, many third-party solutions simply weren’t able to scale with it. At that point, the team decided to take matters into its own hands and go from being a traditional IT organization to one that could build tools in-house. Today, the company is pretty much self-sufficient when it comes to running its IT operations, but getting to this point took a while.

“We had to pretty much reinvent ourselves into a true engineering product organization and went to a full ‘build’ mindset,” said Banerjea. That’s not something every organization is obviously able to do, but, as Banerjea joked, one of the reasons why this works at Facebook “is because we can — we have that benefit of the talent pool that is here at Facebook.”

IMG 20190702 125344

The company then took this talent and basically replicated the kind of team it would help on the customer side to build out its IT tools, with engineers, designers, product managers, content strategies, people and research. “We also made the decision at that point that we will hold the same bar and we will hold the same standards so that the products we create internally will be as world-class as the products we’re rolling out externally.”

One of the tools that wasn’t up to Facebook’s scaling challenges was video conferencing. The company was using a third-party tool for that, but that just wasn’t working anymore. In 2018, Facebook was consuming about 20 million conference minutes per month. In 2019, the company is now at 40 million per month.

Besides the obvious scaling challenge, Facebook is also doing this to be able to offer its employees custom software that fits their workflows. It’s one thing to adapt existing third-party tools, after all, and another to build custom tools to support a company’s business processes.

Banerjea told me that creating this new structure was a relatively easy sell inside the company. Every transformation comes with its own challenges, though. For Facebook’s Enterprise  Engineering team, that included having to recruit new skill sets into the organization. The first few months of this process were painful, Banerjea admitted, as the company had to up-level the skills of many existing employees and shed a significant number of contractors. “There are certain areas where we really felt that we had to have Facebook DNA in order to make sure that we were actually building things the right way,” he explained.

Facebook’s structure creates an additional challenge for the team. When you’re joining Facebook as a new employee, you have plenty of teams to choose from, after all, and if you have the choice of working on Instagram or WhatsApp or the core Facebook app — all of which touch millions of people — working on internal tools with fewer than 40,000 users doesn’t sound all that exciting.

“When young kids who come straight from college and they come into Facebook, they don’t know any better. So they think this is how the world is,” Banerjea said. “But when we have experienced people come in who have worked at other companies, the first thing I hear is ‘oh my goodness, we’ve never seen internal tools of this caliber before.’ The way we recruit, the way we do performance management, the way we do learning and development — every facet of how that employee works has been touched in terms of their life cycle here.”

Event Center 02

Facebook first started building these internal tools around 2012, though it wasn’t until Banerjea joined in 2016 that it rebranded the organization and set up today’s structure. He also noted that some of those original tools were good, but not up to the caliber employees would expect from the company.

“The really big change that we went through was up-leveling our building skills to really become at the same caliber as if we were to build those products for an external customer. We want to have the same experience for people internally.”

The company went as far as replacing and rebuilding the commercial Enterprise Resource Planning (ERP) system it had been using for years. If there’s one thing that big companies rely on, it’s their ERP systems, given they often handle everything from finance and HR to supply chain management and manufacturing. That’s basically what all of their backend tools rely on (and what companies like SAP, Oracle and others charge a lot of money for). “In that 2016/2017 time frame, we realized that that was not a very good strategy,” Banerjea said. In Facebook’s case, the old ERP handled the inventory management for its data centers, among many other things. When that old system went down, the company couldn’t ship parts to its data centers.

“So what we started doing was we started peeling off all the business logic from our backend ERP and we started rewriting it ourselves on our own platform,” he explained. “Today, for our ERP, the backend is just the database, but all the business logic, all of the functionality is actually all custom written by us on our own platform. So we’ve completely rewritten our ERP, so to speak.”

In practice, all of this means that ideally, Facebook’s employees face far less friction when they join the company, for example, or when they need to replace a broken laptop, get a new phone to test features or simply order a new screen for their desk.

One classic use case is onboarding, where new employees get their company laptop, mobile phones and access to all of their systems, for example. At Facebook, that’s also the start of a six-week bootcamp that gets new engineers up to speed with how things work at Facebook. Back in 2016, when new classes tended to still have less than 200 new employees, that was still mostly a manual task. Today, with far more incoming employees, the Enterprise Engineering team has automated most of that — and that includes managing the supply chain that ensures the laptops and phones for these new employees are actually available.

But the team also built the backend that powers the company’s more traditional IT help desks, where employees can walk up and get their issues fixed (and passwords reset).

Event Center 10

To talk more about how Facebook handles the logistics of that, I sat down with Koshambi Shah, who heads up the company’s Enterprise Supply Chain organization, which pretty much handles every piece of hardware and software the company delivers and deploys to its employees around the world (and that global nature of the company brings its own challenges and additional complexity). The team, which has fewer than 30 people, is made up of employees with experience in manufacturing, retail and consumer supply chains.

Typically, enterprises offer their employees a minimal set of choices when it comes to the laptops and phones they issue to their employees, and the operating systems that can run on them tend to be limited. Facebook’s engineers have to be able to test new features on a wide range of devices and operating systems. There are, after all, still users on the iPhone 4s or BlackBerry that the company wants to support. To do this, Shah’s organization actually makes thousands of SKUs available to employees and is able to deliver 98% of them within three days or less. It’s not just sending a laptop via FedEx, though. “We do the budgeting, the financial planning, the forecasting, the supply/demand balancing,” Shah said. “We do the asset management. We make sure the asset — what is needed, when it’s needed, where it’s needed — is there consistently.”

In many large companies, every asset request is double guessed. Facebook, on the other hand, places a lot of trust in its employees, it seems. There’s a self-service portal, the Enterprise Store, that allows employees to easily request phones, laptops, chargers (which get lost a lot) and other accessories as needed, without having to wait for approval (though if you request a laptop every week, somebody will surely want to have a word with you). Everything is obviously tracked in detail, but the overall experience is closer to shopping at an online retailer than using an enterprise asset management system. The Enterprise Store will tell you where a device is available, for example, so you can pick it up yourself (but you can always have it delivered to your desk, too, because this is, after all, a Silicon Valley company).

A73A6581

For accessories, Facebook also offers self-service vending machines, and employees can walk up to the help desk.

The company also recently introduced an Amazon Locker-style setup that allows employees to check out devices as needed. At these smart lockers, employees simply have to scan their badge, choose a device and, once the appropriate door has opened, pick up the phone, tablet, laptop or VR devices they were looking for and move on. Once they are done with it, they can come back and check the device back in. No questions asked. “We trust that people make the right decision for the good of the company,” Shah said. For laptops and other accessories, the company does show the employee the price of those items, though, so it’s clear how much a certain request costs the company. “We empower you with the data for you to make the best decision for your company.”

Talking about cost, Shah told me the Supply Chain organization tracks a number of metrics. One of those is obviously cost. “We do give back about 4% year-over-year, that’s our commitment back to the businesses in terms of the efficiencies we build for every user we support. So we measure ourselves in terms of cost per supported user. And we give back 4% on an annualized basis in the efficiencies.”

Unsurprisingly, the company has by now gathered enough data about employee requests (Shah said the team fulfills about half a million transactions per year) that it can use machine learning to understand trends and be proactive about replacing devices, for example.

IMG 8238

Facebooks’ Enterprise Engineering group doesn’t just support internal customers, though. Another interesting aspect to Facebook’s Enterprise Engineering group is that it also runs the company’s internal and external events, including the likes of F8, the company’s annual developer conference. To do this, the company built out conference rooms that can seat thousands of people, with all of the logistics that go with that.

The company also showed me one of its newest meeting rooms where there are dozens of microphones and speakers hanging from the ceiling that make it easier for everybody in the room to participate in a meeting and be heard by everybody else. That’s part of what the organization’s “New Builds” team is responsible for, and something that’s possible because the company also takes a very hands-on approach to building and managing its offices.

Facebook also runs a number of small studios in its Menlo Park and New York offices, where both employees and the occasional external VIP can host Facebook Live videos.

Event Center 56

Indeed, live video, it seems, is one of the cornerstones of how Facebook employees collaborate and help employees who work from home. Typically, you’d just use the camera on your laptop or maybe a webcam connected to your desktop to do so. But because Facebook actually produces its own camera system with the consumer-oriented Portal, Banerjea’s team decided to use that.

“What we have done is we have actually re-engineered the Portal,” he told me. “We have connected with all of our video conferencing systems in the rooms. So if I have a Portal at home, I can dial into my video conferencing platform and have a conference call just like I’m sitting in any other conference room here in Facebook. And all that software, all the engineering on the portal, that has been done by our teams — some in partnership with our production teams, but a lot of it has been done with Enterprise Engineering.”

Unsurprisingly, there are also groups that manage some of the core infrastructure and security for the company’s internal tools and networks. All of those tools run in the same data centers as Facebook’s consumer-facing applications, though they are obviously sandboxed and isolated from them.

It’s one thing to build all of these tools for internal use, but now, the company is also starting to think about how it can bring some of these tools it built for internal use to some of its external customers. You may not think of Facebook as an enterprise company, but with its Workplace collaboration tool, it has an enterprise service that it sells externally, too. Last year, for the first time, Workplace added a new feature that was incubated inside of Enterprise Engineering. That feature was a version of Facebook’s public Safety Check that the Enterprise Engineering team had originally adapted to the company’s own internal use.

“Many of these things that we are building for Facebook, because we are now very close partners with our Workplace team — they are in the enterprise software business and we are the enterprise software group for Facebook — and many [features] we are building for Facebook are of interest to Workplace customers.”

As Workplace hit the market, Banerjea ended up talking to the CIOs of potential users, including the likes of Delta Air Lines, about how Facebook itself used Workplace internally. But as companies started to adopt Workplace, they realized that they needed integrations with existing third-party services like ERP platforms and Salesforce. Those companies then asked Facebook if it could build those integrations or work with partners to make them available. But at the same time, those customers got exposed to some of the tools that Facebook itself was building internally.

“Safety Check was the first one,” Banerjea said. “We are actually working on three more products this year.” He wouldn’t say what these are, of course, but there is clearly a pipeline of tools that Facebook has built for internal use that it is now looking to commercialize. That’s pretty unusual for any IT organization, which, after all, tends to only focus on internal customers. I don’t expect Facebook to pivot to an enterprise software company anytime soon, but initiatives like this are clearly important to the company and, in some ways, to the morale of the team.

This creates a bit of friction, too, though, given that the Enterprise Engineering group’s mission is to build internal tools for Facebook. “We are now figuring out the deployment model,” Banerjea said. Who, for example, is going to support the external tools the team built? Is it the Enterprise Engineering group or the Workplace team?

Chances are then, that Facebook will bring some of the tools it built for internal use to more enterprises in the long run. That definitely puts a different spin on the idea of the consumerization of enterprise tech. Clearly, not every company operates at the scale of Facebook and needs to build its own tools — and even some companies that could benefit from it don’t have the resources to do so. For Facebook, though, that move seems to have paid off and the tools I saw while talking to the team definitely looked more user-friendly than any off-the-shelf enterprise tools I’ve seen at other large companies.

Powered by WPeMatico