quantum computing
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Quantum Machines plans to expand quantum orchestration platform with $50M investment
Quantum Machines, an Israeli startup that is building the classical hardware and software infrastructure to help run quantum machines, announced a $50 million Series B investment today.
Today’s round was led by Red Dot Capital Partners with help from Exor, Claridge Israel, Samsung NEXT, Valor Equity Partners, Atreides Management, LP, as well as TLV Partners, Battery Ventures, 2i Ventures and other existing investors. The company has now raised approximately $83 million, according to Crunchbase data.
While quantum computing in general is in its early days, Quantum Machines has developed a nice niche by building a hardware and software system, what they call The Quantum Orchestration Platform, that helps run the burgeoning quantum machines, leaving it plenty of room to grow as the industry develops.
Certainly Quantum Machines co-founder and CEO Itamar Sivan, who has been working in quantum his entire career, sees the vast potential of this technology. “Quantum computers have the promise of potentially speeding up very substantially computations that are impossible to complete in reasonable time with classical computers, and this is at the highest level the interest in the field right now. Our vision specifically at Quantum Machines is to make quantum computers ubiquitous and disruptive across all industries,” he said.
To achieve that, the company has created a system that relies on classical computers to power quantum computers as they develop. While the company has designed its own silicon for this purpose, it is important to note that it is not building quantum chips. As Sivan explains, the classical computer has a software and hardware layer, but quantum machines have three layers: “The quantum hardware, which is the heart, and on top of that you have classical hardware […] and then on top of that you have software,” he said.
“We focus on the two latter layers. So classical hardware and the software that drives it. Now at the heart of our hardware is in fact a classical processor. So this is I think one of the most interesting parts of the quantum stack,” he explained.
He says that this interaction between classical computing and quantum computing is one that is fundamental to the technology, and it’s a mix that will last well into the future, possibly forever. What Quantum Machines is building is essentially the classical cloud infrastructure required to run quantum computers.
Quantum Machines founding team: Itamar Sivan, Nissim Ofek, Yonatan Cohen. Photo Credit: Quantum Machines
So far the approach has been working quite well, as Sivan reports that governments, researchers, universities and the hyper scaler operators (which could include companies like Amazon, Netflix and Google, although the company has not said they are customers) are all interested in QM’s technology. While it isn’t discussing specific metrics, the company has customers in 15 countries at the moment and is working with some large entities that it couldn’t name.
The money from this round helps validate what the company is doing, enabling it to continue building out the solution, while also investing heavily in research and development, which is essential as the industry is still in early development and much will change over time.
They have been able to create this solution to this point with just 60 employees, and with the new funding should be able to build out the team in a substantial way in the coming years. He says that when it comes to diversity, he comes from an academic background where this is the norm and he has carried this forth to his company as he hires new people. What’s more, the pandemic has allowed him to hire from anywhere and he says that the company has taken advantage of this opportunity.
“First of all, we’re not hiring just in Israel, we’re hiring globally, and we’re not limited to hiring in specific geographies. We have people [from a number of countries],” he said. He adds, “Diversity for me personally means involving as many people as possible in hiring processes. That is the only way to ensure that there is diversity.”
Even throughout the pandemic, the hardware team has been meeting in person in the office with necessary precautions when it has been allowed, but most employees have continued to work from home, and that is an approach he will continue to take even when it’s safe to return to the office on a regular basis.
“Of course, work in a post-COVID era will include a substantial amount of remote work. […] So even in [our] headquarters, we anticipate allowing people to work remotely [if they wish].
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Honeywell and Cambridge Quantum form joint venture to build a new full-stack quantum business
Honeywell, which only recently announced its entry into the quantum computing race, and Cambridge Quantum Computing (CQ), which focuses on building software for quantum computers, today announced that they are combining Honeywell’s Quantum Solutions (HQS) business with Cambridge Quantum in the form of a new joint venture.
Honeywell has long partnered with CQ, and invested in the company last year, too. The idea here is to combine Honeywell’s hardware expertise with CQ’s software focus to build what the two companies call “the world’s highest-performing quantum computer and a full suite of quantum software, including the first and most advanced quantum operating system.”
The merged companies (or “combination,” as the companies’ press releases calls it) expect the deal to be completed in the third quarter of 2021. Honeywell Chairman and CEO Darius Adamczyk will become the chairman of the new company. CQ founder and CEO Ilyas Khan will become the CEO and current Honeywell Quantum Solutions President Tony Uttley will remain in this role at the new company.
The idea here is for Honeywell to spin off HQS and combine it with CQC to form a new company, while still playing a role in its leadership and finances. Honeywell will own a majority stake in the new company and invest between $270 and $300 million. It will also have a long-term agreement with the new company to build the ion traps at the core of its quantum hardware. CQ’s shareholders will own 45% of the new company.
Image Credits: Honeywell
“The new company will have the best talent in the industry, the world’s highest-performing quantum computer, the first and most advanced quantum operating system, and comprehensive, hardware-agnostic software that will drive the future of the quantum computing industry,” said Adamczyk. “The new company will be extremely well positioned to create value in the near-term within the quantum computing industry by offering the critical global infrastructure needed to support the sector’s explosive growth.”
The companies argue that a successful quantum business will need to be supported by large-scale investments and offer a one-stop shop for customers that combines hardware and software. By combining the two companies now, they note, they’ll be able to build on their respective leadership positions in their areas of expertise and scale their businesses while also accelerate their R&D and product roadmaps.
“Since we first announced Honeywell’s quantum business in 2018, we have heard from many investors who have been eager to invest directly in our leading technologies at the forefront of this exciting and dynamic industry — now, they will be able to do so,” Adamczyk said. “The new company will provide the best avenue for us to onboard new, diverse sources of capital at scale that will help drive rapid growth.”
CQ launched in 2014 and now has about 150 employees. The company raised a total of $72.8 million, including a $45 million round, which it announced last December. Honeywell, IBM Ventures, JSR Corporation, Serendipity Capital, Alvarium Investments and Talipot Holdings invested in this last round — which also means that IBM, which uses a different technology but, in many ways, directly competes with the new company, now owns a (small) part of it.
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Beyond the fanfare and SEC warnings, SPACs are here to stay
The number of SPACs in the deep tech sector was skyrocketing, but a combination of increased SEC scrutiny and market forces over the past few weeks has slowed the pace of new SPAC transactions. The correction is an inevitable step on the path to mainstreaming SPACs as an alternative to IPOs, but it won’t cause them to go away. Instead, blank-check vehicles will evolve and will occupy a small and specialized — but important — part of the startup financing landscape.
I believe that SPAC financings can solve a major problem for all capital-intensive technology startups: the need for faster — and potentially cheaper — access to large amounts of capital to fund product development over multiple years.
The tsunami of SPAC financings sparked commentary from all corners of the capital markets community, from equity analysts and securities lawyers to VCs and fund managers — and even central bankers. That’s understandable, as more than $60 billion of SPAC deals have been announced since the beginning of 2020, plus $55 billion in PIPE capital, according to investment bank PJT Partners.
The views debated by finance experts often relate to the reasonableness of SPAC pricing and transaction structures, the alignment of incentives for stakeholders, and post-merger financial and stock price performance. But I’m not going to add another voice to the debate on the risk-reward calculus.
As the co-founder of a quantum computing software startup who worked in financial markets for two decades, I’d like to offer my perspective on two issues that I think my peers care more about: Can SPACs still solve the funding problem for capital-intensive, deep tech startups? And will they become a permanent financing option?
Keeping the lights on at deep tech startups
I believe that SPAC financings can solve a major problem for all capital-intensive technology startups: the need for faster — and potentially cheaper — access to large amounts of capital to fund product development over multiple years.
SPACs have created a limitless well of capital that deep tech startups are diving into. That’s because they are proving to be more attractive than other sources of financing, such as taking investments from later-stage VC funds or growth equity funds with finite fund sizes and specific investment themes.
The supply of growth capital from these vehicles has been astounding. In 2020, SPACs alone raised more than $83 billion via 248 IPOs, which is equal to a third of the total $300 billion raised by the entire global VC community. If the present rate of financings had continued, the annual amount of SPAC financings would have been on par with the total R&D expenditure of the U.S. government — roughly $130 billion to $150 billion.
This new supply of capital can let startups keep the lights on, helping them address a practical need while they develop products that may take a decade to field. Before SPACs, any startup that wanted to remain independent had to lurch from one round of VC financing to the next. That, as well as the intense IPO process, is a major time sink for management teams and distracts them from focusing on product development.
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Golden raises $14.5M to build a wiki-style database of tech knowledge
Golden is announcing that it has raised $14.5 million in Series A funding. The round was led by previous investor Andreessen Horowitz, with the firm’s co-founder Marc Andreessen joining the startup’s board of directors.
When Golden launched last year, founder and CEO Jude Gomila told me that his goal was to create a knowledge base focused on areas where Wikipedia’s coverage is often spotty, particularly emerging technology and startups.
Gomila told me this week that “companies, technologies and the people involved in them” remain Golden’s strength. In that sense, you could see it as a competitor to Crunchbase, but with a much bigger emphasis on explaining and “clustering” information on big topics like quantum computing and COVID-19, rather than just aggregating key data about companies and people. (By the way, both TechCrunch and the author of this post have their own profile pages, though the latter is woefully empty.)
In contrast to Wikipedia, which relies on community editors, Gomila said most of the data in Golden is gathered using artificial intelligence and natural language processing: “We’re using AI to extract information from the news, from websites, from public databases.
This is supplemented by Golden staff (former TechCrunch copy editor Holden Page leads the startup’s research team), while the larger community can also pitch in by flagging things that are incorrect or need to be updated. (As one example of this “human in the loop” editing process, Gomila showed me a tool where someone could paste in an article link and Golden would automatically summarize it.)
“The ultimate aim is to try and automate as much of this as possible,” Gomila said. “[For now,] this hybrid is the most effective method.”
Golden has also started working with paying customers including private equity firms, hedge funds, VCs, biotechnology companies, corporate innovation offices and government agencies — in fact, it says it signed a $1 million contract with the U.S. Air Force this year. These customers are paying for access to Golden’s research engine, which includes the company’s Query Tool and the ability to request that the startup prepare research on a particular topic.
Golden has now raised a total of $19.5 million. Other investors in the new funding include DCVC, Harpoon Ventures and Gigafund .
“Golden’s knowledge base and research engine aggregates information about emerging technologies and the companies, investors, and the builders behind them,” Andreessen said in a statement. “Human and machine intelligence, working together on Golden’s platform, results in knowledge which gives people the edge in making decisions and navigating uncertainty.”
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Quantum startup CEO suggests we are only five years away from a quantum desktop computer
Today at TechCrunch Disrupt 2020, leaders from three quantum computing startups joined TechCrunch editor Frederic Lardinois to discuss the future of the technology. IonQ CEO and president Peter Chapman suggested we could be as little as five years away from a desktop quantum computer, but not everyone agreed on that optimistic timeline.
“I think within the next several years, five years or so, you’ll start to see [desktop quantum machines]. Our goal is to get to a rack-mounted quantum computer,” Chapman said.
But that seemed a tad optimistic to Alan Baratz, CEO at D-Wave Systems. He says that when it comes to developing the super-conducting technology that his company is building, it requires a special kind of rather large quantum refrigeration unit called a dilution fridge, and that unit would make a five-year goal of having a desktop quantum PC highly unlikely.
Itamar Sivan, CEO at Quantum Machines, too, believes we have a lot of steps to go before we see that kind of technology, and a lot of hurdles to overcome to make that happen.
“This challenge is not within a specific, singular problem about finding the right material or solving some very specific equation, or anything. It’s really a challenge, which is multidisciplinary to be solved here,” Sivan said.
Chapman also sees a day when we could have edge quantum machines, for instance on a military plane, that couldn’t access quantum machines from the cloud efficiently.
“You know, you can’t rely on a system which is sitting in a cloud. So it needs to be on the plane itself. If you’re going to apply quantum to military applications, then you’re going to need edge-deployed quantum computers,” he said.
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One thing worth mentioning is that IonQ’s approach to quantum is very different from D-Wave’s and Quantum Machines’ .
IonQ relies on technology pioneered in atomic clocks for its form of quantum computing. Quantum Machines doesn’t build quantum processors. Instead, it builds the hardware and software layer to control these machines, which are reaching a point where that can’t be done with classical computers anymore.
D-Wave, on the other hand, uses a concept called quantum annealing, which allows it to create thousands of qubits, but at the cost of higher error rates.
As the technology develops further in the coming decades, these companies believe they are offering value by giving customers a starting point into this powerful form of computing, which when harnessed will change the way we think of computing in a classical sense. But Sivan says there are many steps to get there.
“This is a huge challenge that would also require focused and highly specialized teams that specialize in each layer of the quantum computing stack,” he said. One way to help solve that is by partnering broadly to help solve some of these fundamental problems, and working with the cloud companies to bring quantum computing, however they choose to build it today, to a wider audience.
“In this regard, I think that this year we’ve seen some very interesting partnerships form which are essential for this to happen. We’ve seen companies like IonQ and D-Wave, and others partnering with cloud providers who deliver their own quantum computers through other companies’ cloud service,” Sivan said. And he said his company would be announcing some partnerships of its own in the coming weeks.
The ultimate goal of all three companies is to eventually build a universal quantum computer, one that can achieve the goal of providing true quantum power. “We can and should continue marching toward universal quantum to get to the point where we can do things that just can’t be done classically,” Baratz said. But he and the others recognize we are still in the very early stages of reaching that end game.
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The race to building a fully functional quantum stack
David Cowan is a partner at Bessemer Venture Partners and one of the world’s leading investors across cloud infrastructure, cybersecurity, consumer and space technology.
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Tomer Diari is a vice president at Bessemer Venture Partners, where he focuses primarily on cybersecurity, big data and deep tech opportunities.
Quantum computers exploit the seemingly bizarre yet proven nature of the universe that until a particle interacts with another, its position, speed, color, spin and other quantum properties coexist simultaneously as a probability distribution over all possibilities in a state known as superposition. Quantum computers use isolated particles as their most basic building blocks, relying on any one of these quantum properties to represent the state of a quantum bit (or “qubit”). So while classical computer bits always exist in a mutually exclusive state of either 0 (low energy) or 1 (high energy), qubits in superposition coexist simultaneously in both states as 0 and 1.
Things get interesting at a larger scale, as QC systems are capable of isolating a group of entangled particles, which all share a single state of superposition. While a single qubit coexists in two states, a set of eight entangled qubits (or “8Q”), for example, simultaneously occupies all 2^8 (or 256) possible states, effectively processing all these states in parallel. It would take 57Q (representing 2^57 parallel states) for a QC to outperform even the world’s strongest classical supercomputer. A 64Q computer would surpass it by 100x (clearly achieving quantum advantage) and a 128Q computer would surpass it a quintillion times.
In the race to develop these computers, nature has inserted two major speed bumps. First, isolated quantum particles are highly unstable, and so quantum circuits must execute within extremely short periods of coherence. Second, measuring the output energy level of subatomic qubits requires extreme levels of accuracy that tiny deviations commonly thwart. Informed by university research, leading QC companies like IBM, Google, Honeywell and Rigetti develop quantum engineering and error-correction methods to overcome these challenges as they scale the number of qubits they can process.
Following the challenge to create working hardware, software must be developed to harvest the benefits of parallelism even though we cannot see what is happening inside a quantum circuit without losing superposition. When we measure the output value of a quantum circuit’s entangled qubits, the superposition collapses into just one of the many possible outcomes. Sometimes, though, the output yields clues that qubits weirdly interfered with themselves (that is, with their probabilistic counterparts) inside the circuit.
QC scientists at UC Berkeley, University of Toronto, University of Waterloo, UT Sydney and elsewhere are now developing a fundamentally new class of algorithms that detect the absence or presence of interference patterns in QC output to cleverly glean information about what happened inside.
The QC stack
A fully functional QC must, therefore, incorporate several layers of a novel technology stack, incorporating both hardware and software components. At the top of the stack sits the application software for solving problems in chemistry, logistics, etc. The application typically makes API calls to a software layer beneath it (loosely referred to as a “compiler”) that translates function calls into circuits to implement them. Beneath the compiler sits a classical computer that feeds circuit changes and inputs to the Quantum Processing Unit (QPU) beneath it. The QPU typically has an error-correction layer, an analog processing unit to transmit analog inputs to the quantum circuit and measure its analog outputs, and the quantum processor itself, which houses the isolated, entangled particles.
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Eight trends accelerating the age of commercial-ready quantum computing
Ethan Batraski is a partner at Venrock, where he invests across sectors with a particular focus on hard engineering problems such as developer infrastructure, advanced computing and space.
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Every major technology breakthrough of our era has gone through a similar cycle in pursuit of turning fiction to reality.
It starts in the stages of scientific discovery, a pursuit of principle against a theory, a recursive process of hypothesis-experiment. Success of the proof of principle stage graduates to becoming a tractable engineering problem, where the path to getting to a systemized, reproducible, predictable system is generally known and de-risked. Lastly, once successfully engineered to the performance requirements, focus shifts to repeatable manufacturing and scale, simplifying designs for production.
Since theorized by Richard Feynman and Yuri Manin, quantum computing has been thought to be in a perpetual state of scientific discovery. Occasionally reaching proof of principle on a particular architecture or approach, but never able to overcome the engineering challenges to move forward.
That’s until now. In the last 12 months, we have seen several meaningful breakthroughs from academia, venture-backed companies, and industry that looks to have broken through the remaining challenges along the scientific discovery curve. Moving quantum computing from science fiction that has always been “five to seven years away,” to a tractable engineering problem, ready to solve meaningful problems in the real world.
Companies such as Atom Computing* leveraging neutral atoms for wireless qubit control, Honeywell’s trapped ions approach, and Google’s superconducting metals, have demonstrated first-ever results, setting the stage for the first commercial generation of working quantum computers.
While early and noisy, these systems, even at just 40-80 error-corrected qubit range, may be able to deliver capabilities that surpass those of classical computers. Accelerating our ability to perform better in areas such as thermodynamic predictions, chemical reactions, resource optimizations and financial predictions.
As a number of key technology and ecosystem breakthroughs begin to converge, the next 12-18 months will be nothing short of a watershed moment for quantum computing.
Here are eight emerging trends and predictions that will accelerate quantum computing readiness for the commercial market in 2021 and beyond:
1. Dark horses of QC emerge: 2020 will be the year of dark horses in the QC race. These new entrants will demonstrate dominant architectures with 100-200 individually controlled and maintained qubits, at 99.9% fidelities, with millisecond to seconds coherence times that represent 2x -3x improved qubit power, fidelity and coherence times. These dark horses, many venture-backed, will finally prove that resources and capital are not sole catalysts for a technological breakthrough in quantum computing.
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Honeywell says it will soon launch the world’s most powerful quantum computer
“The best-kept secret in quantum computing.” That’s what Cambridge Quantum Computing (CQC) CEO Ilyas Khan called Honeywell‘s efforts in building the world’s most powerful quantum computer. In a race where most of the major players are vying for attention, Honeywell has quietly worked on its efforts for the last few years (and under strict NDA’s, it seems). But today, the company announced a major breakthrough that it claims will allow it to launch the world’s most powerful quantum computer within the next three months.
In addition, Honeywell also today announced that it has made strategic investments in CQC and Zapata Computing, both of which focus on the software side of quantum computing. The company has also partnered with JPMorgan Chase to develop quantum algorithms using Honeywell’s quantum computer. The company also recently announced a partnership with Microsoft.
Honeywell has long built the kind of complex control systems that power many of the world’s largest industrial sites. It’s that kind of experience that has now allowed it to build an advanced ion trap that is at the core of its efforts.
This ion trap, the company claims in a paper that accompanies today’s announcement, has allowed the team to achieve decoherence times that are significantly longer than those of its competitors.
“It starts really with the heritage that Honeywell had to work from,” Tony Uttley, the president of Honeywell Quantum Solutions, told me. “And we, because of our businesses within aerospace and defense and our business in oil and gas — with solutions that have to do with the integration of complex control systems because of our chemicals and materials businesses — we had all of the underlying pieces for quantum computing, which are just fabulously different from classical computing. You need to have ultra-high vacuum system capabilities. You need to have cryogenic capabilities. You need to have precision control. You need to have lasers and photonic capabilities. You have to have magnetic and vibrational stability capabilities. And for us, we had our own foundry and so we are able to literally design our architecture from the trap up.”
The result of this is a quantum computer that promises to achieve a quantum Volume of 64. Quantum Volume (QV), it’s worth mentioning, is a metric that takes into account both the number of qubits in a system as well as decoherence times. IBM and others have championed this metric as a way to, at least for now, compare the power of various quantum computers.
So far, IBM’s own machines have achieved QV 32, which would make Honeywell’s machine significantly more powerful.
Khan, whose company provides software tools for quantum computing and was one of the first to work with Honeywell on this project, also noted that the focus on the ion trap is giving Honeywell a bit of an advantage. “I think that the choice of the ion trap approach by Honeywell is a reflection of a very deliberate focus on the quality of qubit rather than the number of qubits, which I think is fairly sophisticated,” he said. “Until recently, the headline was always growth, the number of qubits running.”
The Honeywell team noted that many of its current customers are also likely users of its quantum solutions. These customers, after all, are working on exactly the kind of problems in chemistry or material science that quantum computing, at least in its earliest forms, is uniquely suited for.
Currently, Honeywell has about 100 scientists, engineers and developers dedicated to its quantum project.
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D-Wave partners with NEC to build hybrid HPC and quantum apps
D-Wave Systems announced a partnership with Japanese industrial giant NEC today to build what they call “hybrid apps and services” that work on a combination of NEC high-performance computers and D-Wave’s quantum systems.
The two companies also announced that NEC will be investing $10 million in D-Wave, which has raised $204 million prior to this, according to Crunchbase data.
D-Wave’s chief product officer and EVP of R&D, Alan Baratz, whom the company announced this week will be taking over as CEO effective January 1st, says the company has been able to do a lot of business in Japan, and the size of this deal could help push the technology further. “Our collaboration with global pioneer NEC is a major milestone in the pursuit of fully commercial quantum applications,” he said in a statement.
The company says it is one of the earliest deals between a quantum vendor and a multinational IT company with the size and scale of NEC. The deal involves three key elements. First of all, NEC and D-Wave will come together to develop hybrid services that combine NEC’s supercomputers and other classical systems with D-Wave’s quantum technology. The hope is that by combining the classical and quantum systems, they can create better performance for lower cost than you could get if you tried to do similar computing on a strictly classical system.
The two companies will also work together with NEC customers to build applications that will take advantage of this hybrid approach. Also, NEC will be an authorized reseller of D-Wave cloud services.
For NEC, which claims to have demonstrated the world’s first quantum bit device way back in 1999, it is about finding ways to keep advancing commercial quantum computing. “Quantum computing development is critical for the future of every industry tasked with solving today’s most complex problems. Hybrid applications and greater access to quantum systems is what will allow us to achieve truly commercial-grade quantum solutions,” Motoo Nishihara, executive vice president and CTO at NEC Corporation, said in a statement.
This deal should help move the companies toward that goal.
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$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).
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