Outside the crop of construction cranes that now dot Vancouver’s bright, downtown greenways, in a suburban business park that reminds you more of dentists and tax preparers, is a small office building belonging to D-Wave. This office — squat, angular and sun-dappled one recent cool Autumn morning — is unique in that it contains an infinite collection of parallel universes.

Founded in 1999 by Geordie Rose, D-Wave worked in relative obscurity on esoteric problems associated with quantum computing. When Rose was a PhD student at the University of British Columbia, he turned in an assignment that outlined a quantum computing company. His entrepreneurship teacher at the time, Haig Farris, found the young physicists ideas compelling enough to give him $1,000 to buy a computer and a printer to type up a business plan.

The company consulted with academics until 2005, when Rose and his team decided to focus on building usable quantum computers. The result, the Orion, launched in 2007, and was used to classify drug molecules and play Sodoku. The business now sells computers for up to $10 million to clients like Google, Microsoft and Northrop Grumman.

“We’ve been focused on making quantum computing practical since day one. In 2010 we started offering remote cloud access to customers and today, we have 100 early applications running on our computers (70 percent of which were built in the cloud),” said CEO Vern Brownell. “Through this work, our customers have told us it takes more than just access to real quantum hardware to benefit from quantum computing. In order to build a true quantum ecosystem, millions of developers need the access and tools to get started with quantum.”

Now their computers are simulating weather patterns and tsunamis, optimizing hotel ad displays, solving complex network problems and, thanks to a new, open-source platform, could help you ride the quantum wave of computer programming.

Inside the box

When I went to visit D-Wave they gave us unprecedented access to the inside of one of their quantum machines. The computers, which are about the size of a garden shed, have a control unit on the front that manages the temperature as well as queuing system to translate and communicate the problems sent in by users.

Inside the machine is a tube that, when fully operational, contains a small chip super-cooled to 0.015 Kelvin, or -459.643 degrees Fahrenheit or -273.135 degrees Celsius. The entire system looks like something out of the Death Star — a cylinder of pure data that the heroes must access by walking through a little door in the side of a jet-black cube.

It’s quite thrilling to see this odd little chip inside its super-cooled home. As the computer revolution maintained its predilection toward room-temperature chips, these odd and unique machines are a connection to an alternate timeline where physics is wrestled into submission in order to do some truly remarkable things.

And now anyone — from kids to PhDs to everyone in-between — can try it.

Into the ocean

Learning to program a quantum computer takes time. Because the processor doesn’t work like a classic universal computer, you have to train the chip to perform simple functions that your own cellphone can do in seconds. However, in some cases, researchers have found the chips can outperform classic computers by 3,600 times. This trade-off — the movement from the known to the unknown — is why D-Wave exposed their product to the world.

“We built Leap to give millions of developers access to quantum computing. We built the first quantum application environment so any software developer interested in quantum computing can start writing and running applications — you don’t need deep quantum knowledge to get started. If you know Python, you can build applications on Leap,” said Brownell.

To get started on the road to quantum computing, D-Wave built the Leap platform. The Leap is an open-source toolkit for developers. When you sign up you receive one minute’s worth of quantum processing unit time which, given that most problems run in milliseconds, is more than enough to begin experimenting. A queue manager lines up your code and runs it in the order received and the answers are spit out almost instantly.

You can code on the QPU with Python or via Jupiter notebooks, and it allows you to connect to the QPU with an API token. After writing your code, you can send commands directly to the QPU and then output the results. The programs are currently pretty esoteric and require a basic knowledge of quantum programming but, it should be remembered, classic computer programming was once daunting to the average user.

I downloaded and ran most of the demonstrations without a hitch. These demonstrations — factoring programs, network generators and the like — essentially turned the concepts of classical programming into quantum questions. Instead of iterating through a list of factors, for example, the quantum computer creates a “parallel universe” of answers and then collapses each one until it finds the right answer. If this sounds odd it’s because it is. The researchers at D-Wave argue all the time about how to imagine a quantum computer’s various processes. One camp sees the physical implementation of a quantum computer to be simply a faster methodology for rendering answers. The other camp, itself aligned with Professor David Deutsch’s ideas presented in The Beginning of Infinity, sees the sheer number of possible permutations a quantum computer can traverse as evidence of parallel universes.

What does the code look like? It’s hard to read without understanding the basics, a fact that D-Wave engineers factored for in offering online documentation. For example, below is most of the factoring code for one of their demo programs, a bit of code that can be reduced to about five lines on a classical computer. However, when this function uses a quantum processor, the entire process takes milliseconds versus minutes or hours.

Classical

# Python Program to find the factors of a number

define a function

def print_factors(x):

This function takes a number and prints the factors

print(“The factors of”,x,”are:”)
for i in range(1, x + 1):
if x % i == 0:
print(i)

change this value for a different result.

num = 320

uncomment the following line to take input from the user

#num = int(input(“Enter a number: “))

print_factors(num)

Quantum

@qpu_ha
def factor(P, use_saved_embedding=True):

####################################################################################################

get circuit

####################################################################################################

construction_start_time = time.time()

validate_input(P, range(2 ** 6))

get constraint satisfaction problem

csp = dbc.factories.multiplication_circuit(3)

get binary quadratic model

bqm = dbc.stitch(csp, min_classical_gap=.1)

we know that multiplication_circuit() has created these variables

p_vars = [‘p0’, ‘p1’, ‘p2’, ‘p3’, ‘p4’, ‘p5’]

convert P from decimal to binary

fixed_variables = dict(zip(reversed(p_vars), “{:06b}”.format(P)))
fixed_variables = {var: int(x) for(var, x) in fixed_variables.items()}

fix product qubits

for var, value in fixed_variables.items():
bqm.fix_variable(var, value)

log.debug(‘bqm construction time: %s’, time.time() – construction_start_time)

####################################################################################################

run problem

####################################################################################################

sample_time = time.time()

get QPU sampler

sampler = DWaveSampler(solver_features=dict(online=True, name=’DW_2000Q.*’))
_, target_edgelist, target_adjacency = sampler.structure

if use_saved_embedding:

load a pre-calculated embedding

from factoring.embedding import embeddings
embedding = embeddings[sampler.solver.id]
else:

get the embedding

embedding = minorminer.find_embedding(bqm.quadratic, target_edgelist)
if bqm and not embedding:
raise ValueError(“no embedding found”)

apply the embedding to the given problem to map it to the sampler

bqm_embedded = dimod.embed_bqm(bqm, embedding, target_adjacency, 3.0)

draw samples from the QPU

kwargs = {}
if ‘num_reads’ in sampler.parameters:
kwargs[‘num_reads’] = 50
if ‘answer_mode’ in sampler.parameters:
kwargs[‘answer_mode’] = ‘histogram’
response = sampler.sample(bqm_embedded, **kwargs)

convert back to the original problem space

response = dimod.unembed_response(response, embedding, source_bqm=bqm)

sampler.client.close()

log.debug(’embedding and sampling time: %s’, time.time() – sample_time)

“The industry is at an inflection point and we’ve moved beyond the theoretical, and into the practical era of quantum applications. It’s time to open this up to more smart, curious developers so they can build the first quantum killer app. Leap’s combination of immediate access to live quantum computers, along with tools, resources, and a community, will fuel that,” said Brownell. “For Leap’s future, we see millions of developers using this to share ideas, learn from each other and contribute open-source code. It’s that kind of collaborative developer community that we think will lead us to the first quantum killer app.”

The folks at D-Wave created a number of tutorials as well as a forum where users can learn and ask questions. The entire project is truly the first of its kind and promises unprecedented access to what amounts to the foreseeable future of computing. I’ve seen lots of technology over the years, and nothing quite replicated the strange frisson associated with plugging into a quantum computer. Like the teletype and green-screen terminals used by the early hackers like Bill Gates and Steve Wozniak, D-Wave has opened up a strange new world. How we explore it us up to us.

AI and Machine Learning startups often face a fair amount of engineering and data challenges, which tends to make it expensive to build the product. It is difficult to build such a company as a lean...

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Sramana Mitra: What is the earliest stage at which they would go in? Would people go in with no product and just a concept? Deb Kemper: People would go in before validated product market fit. It’s...

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According to a new study conducted by the Center for American Entrepreneurship and NYU’s Shack Institute of Real Estate, the US may be losing its competitive advantage as the dominant nucleus of the startup and venture capital universe. 

The analysis, led by senior Brookings Institution fellow Ian Hathaway and “Rise of the Creative Class” author Richard Florida, examines the flow of venture capital over 100,000 deals from 2005 to 2017 and details how the historically US-centric practice of venture capital has become a global phenomenon.

While the US still appears to produce the largest amount of venture activity in the world, America’s share of the global pie is falling dramatically and doing so quickly.

In the mid-90s, the US accounted for more than 95% of global venture capital investment.  By 2012, this number had fallen to 70%. At the end of 2017, the US share of total venture investment had fallen to just 50%.   

Over the last decade, non-US countries have propelled growth in the global startup and venture economy, which has swelled from $50 billion to over $170 billion in size.  In particular, China, India and the UK now account for a third of global venture deal count and dollars – 2-3x the share held ten years ago.  And with VC dollars increasingly circulating into modernizing Asia-Pac and European cities, the researchers found that the erosion in the US share of venture capital is trending in the wrong direction.

Growth of global startup cities and the myth of the American “rise of the rest”

We’ve spent the summer discussing the notion of Silicon Valley reaching its parabolic peak – Observing the “rise of the rest” across smaller American tech hubs.  In reality, the data reveals a “rise in the rest of the world”, with startup ecosystems outside the US growing at a faster pace than most US hubs.

The Bay Area remains the world’s preeminent beneficiary of VC investment, and New York, Los Angeles, and Boston all find themselves in the top ten cities contributing to global venture growth.  However, only six of the top 20 cities are located in the US, while 14 are in Asia or Europe.  At the individual level, only two American cities crack the top 20 fastest growing startup hubs.  

Still, the authors found the bulk of VC activity remains highly concentrated in a small number of incumbent startup cities. More than 50% of all global venture capital deployed can be attributed to only six cities and half of the growth in VC activity over the last five years can be attributed to just four cities.  Despite the growing number of ecosystems playing a role in venture decisions, the dominant incumbent startup hubs hold a firm grip on the majority of capital deployed.

China and the surge of mega deals

Unsurprisingly, the largest contributor to the globalization of venture capital and the slimming share of the US is the rapid escalation of China’s startup ecosystem.

In the last three years, China has captured nearly a fourth of total VC investment.  Since 2010, Beijing contributed more to VC deployment growth than any other city, while three other Chinese cities (Shanghai, Hangzhou, Shenzhen) fell in the top 15. 

A major part of China’s ascension can be tied to the idiosyncratic rise of late-stage “mega deals”, which the study defines as $500 million or more in size.  Once an extremely rare occurrence, mega deals now make up a significant portion of all venture dollars deployed.  From 2005-2007, only two mega deals took place.  From 2010-2012, eight of such deals took place.  From 2015-2017, there were 80 global mega deals, representing a fifth of the total venture capital activity.  Chinese cities accounted for half of all mega deal investment over the same period.

The good, the bad, and the uncertain

It’s not all bad for the US, with the study highlighting continued ecosystem growth in established US hubs and leading roles for non-valley markets in NY, LA, and Boston.

And the globalization of the startup and venture economy is by no means a “bad thing”.  In fact, access to capital, the spread of entrepreneurial spirit, and stronger global economic development and prosperity is almost unquestionably a “good thing.”

However, the US’ share of venture-backed startups is falling, and the US losing its competitive advantage in the startup and venture capital market could have major implications for its future as a global economic leader.  Five of the six largest US companies were previously venture-backed startups and now provide a combined value of around $4 trillion. 

The intense competition for talent marks another major challenge for the US who has historically been a huge beneficiary of foreign-born entrepreneurs.  With the rise of local ecosystems across the globe, entrepreneurs no longer have to flock to the US to build their companies or have access to venture capital.  The problem attracting entrepreneurs is compounded by notoriously unfriendly US visa policies – not to mention recent harsh rhetoric and tension over immigration that make the US a less attractive destination for skilled immigrants.  

At a recent speaking event, Florida stated he believed the US’ fading competitive advantage was a greater threat to American economic power than previous collapses seen in the steel and auto industries.  A sentiment echoed by Techstars co-founder Brad Feld, who in the report’s forward states, “government leaders should read this report with alarm.”

It remains to be seen whether the train has left the station or if the US can hold on to its position as the world’s venture leader.  What is clear is that Silicon Valley is no longer the center of the universe and the geography of the startup and venture capital world is changing.

“The Rise of the Global Startup City: The New Map of Entrepreneurship and Venture Capital” tries to illustrate these tectonic shifts and identifies tiers of global startup cities based on size, growth and balance of VC deals and investments.

Magic Leap has announced they are acquiring Computes, a decentralized mesh computing startup. Terms of the deal weren’t disclosed.

From Magic Leap’s blog post:

From the beginning, Chris Matthieu and Jade Meskill started Computes, Inc. based on the principle of enabling the next generation of computing. We believe Magic Leap is the perfect home to achieve this vision

Why would Magic Leap want to get their hands on this company? Well, it’s no secret that building a “digital layer” on top of the real world is more than a little compute-heavy; mesh computing offers an attractive future for leveraging the power of grouped systems to push resources to the devices that need it most.

The company’s website does a not-so-great job of explaining what exactly they do, but here’s a blip from one of the company’s whitepapers:

The Lattice protocol allows authorized computers to self-organize into a mesh computer, limited only by the number and power of the members. Lattice will intelligently allocate work to the best members of the mesh, based on the requirements of the task.

This is an interesting idea for AR headset systems, where eventually most of them may be in standby on average and could theoretically push their compute power to another system. Perhaps more likely is offsite PCs with beefy internals offering the headsets a punch. On the far less sexy side, this could also just be a play for the startup to drill down some of its backend services.

If you’re still curious about what they do and are interested in some even more mildly dubious explaining, check out this video from Computes’ CEO, which only mildly resembles a video from the Dharma Initiative.

Cloud hosting company Scaleway is launching object storage in public beta. The company uses an Amazon S3-compatible API, which means you could easily replace your Amazon S3 bucket with a Scaleway bucket by changing the API end point.

The basic object storage package starts at $5.75 per month (€5 per month), which includes 500GB of storage and 500GB of outgoing transfer. You then pay €0.01 per month for every extra GB of storage and €0.02 per month for every extra GB of outgoing transfer. And there’s no limit.

You can transfer data back and forth between a Scaleway server instance and your object storage bucket for free. You also can create a bucket for free during the public beta phase.

When it comes to the service-level agreement, the company promises 99.9 percent availability and 99.999 percent redundancy and protection of your files.

It’s hard to compare Scaleway’s pricing with big competitors, such as Amazon S3, Google Cloud Storage and Microsoft Azure’s blob storage. Pricing differs depending on the region and the level of availability. But they tend to be more expensive than Scaleway if you choose standard storage options.

Backblaze’s B2 charges $0.005 per GB of storage per month and $0.01 per GB of outgoing transfer per month. DigitalOcean’s Spaces costs $5 per month for 250 GB of storage, 1TB of outgoing transfer and then $0.02 per extra GB of storage, $0.01 per extra GB of transfer.

But pricing is just one thing. Chances are you don’t want to work with multiple vendors and pay for outgoing transfer by hosting your computing instances with one cloud hosting company and your object storage with another. Having object storage could help convince more clients to switch to Scaleway for everything.

Sramana Mitra: The corollary of our previous saying is that VCs love to come to the rescue of victory. That is also a very popular saying in our community. SC Moatti: It’s a very interesting point...

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When Amazon rolled out its membership-based two-day shipping service in 2005, e-commerce and customer expectations around fulfillment speed changed forever.

Today, more than 100 million people use Amazon Prime. That means, 100 million people are fully accustomed to two-day shipping and if they can’t have it, they shop elsewhere. As The Wall Street Journal’s Christopher Mims recently put it: “Alongside life, liberty and the pursuit of happiness, you can now add another inalienable right: two-day shipping on practically everything.”

Only recently have Amazon’s competitors begun to offer similar fast delivery options. About two years ago, Walmart launched its own free two-day delivery service for its owned-inventory; eBay followed suit, establishing a three-day or less delivery guaranteed option for shoppers in March 2017.

To power these Prime-like delivery options, Walmart, eBay and the Canadian e-commerce business Shopify are relying on a little upstart.

One-year-old Deliverr helps businesses offer rapid delivery experiences to their customers. Today, the company is announcing a $7.1 million Series A led by Joe Lonsdale’s 8VC, with participation from Zola founder Shan-Lyn Ma, Flexport chief executive officer Ryan Peterson and others.

The San Francisco-based startup uses machine learning and predictive intelligence to determine which of its warehouses to store its client’s goods.

Currently, Deliverr operates out of more than 10 warehouses in Texas, Missouri, Pennsylvania, Ohio and New Jersey, among other states, though co-founder Michael Krakaris says that number is growing every week. Its customers typically store inventory in three to five different locations based on Deliverr’s predictive algorithms.

Unlike Amazon, which owns more than 75 fulfillment centers, Deliverr doesn’t own its warehouses. Krakaris describes the company’s strategy as a sort of Uber for fulfillment.

“Uber didn’t change the physical infrastructure of cars. They didn’t build their own taxis. What they did was create software that could connect excess capacity drivers,” Krakaris told TechCrunch. “Most warehouses aren’t going to be full. We are going in and filling that extra space they wouldn’t otherwise fill.”

One of the startup’s tricks is to use brand-neutral packaging so any and all marketplaces could theoretically power fulfillment through Deliverr. Amazon, of course, sticks a Prime sticker on all its outgoing packages. And because Amazon’s fulfillment service is used by some eBay sellers, eBay items are known to show up at customers’ homes in Amazon-branded packaging. Not a great look for eBay.

“You need an independent fulfillment service that can handle all these different fulfillment channels and be neutral,” Krakaris said.

Deliverr plans to use the investment to scale its team and ink partnerships with additional online retailers.

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Consumer messaging apps like WhatsApp are not only insanely popular for chatting with friends but have pushed deep into the workplace too, thanks to the speed and convenience they offer. They have even crept into hospitals, as time-strapped doctors reach for a quick and easy way to collaborate over patient cases on the ward.

Yet WhatsApp is not specifically designed with the safe sharing of highly sensitive medical information in mind. This is where Dutch startup Siilo has been carving a niche for itself for the past 2.5 years — via a free-at-the-point-of-use encrypted messaging app that’s intended for medical professions to securely collaborate on patient care, such as via in-app discussion groups and being able to securely store and share patient notes.

A business goal that could be buoyed by tighter EU regulations around handling personal data, say if hospital managers decide they need to address compliance risks around staff use of consumer messaging apps.

The app’s WhatsApp-style messaging interface will be instantly familiar to any smartphone user. But Siilo bakes in additional features for its target healthcare professional users, such as keeping photos, videos and files sent via the app siloed in an encrypted vault that’s entirely separate from any personal media also stored on the device.

Messages sent via Siilo are also automatically deleted after 30 days unless the user specifies a particular message should be retained. And the app does not make automated back-ups of users’ conversations.

Other doctor-friendly features include the ability to blur images (for patient privacy purposes); augment images with arrows for emphasis; and export threaded conversations to electronic health records.

There’s also mandatory security for accessing the app — with a requirement for either a PIN-code, fingerprint or facial recognition biometric to be used. While a remote wipe functionality to nix any locally stored data is baked into Siilo in the event of a device being lost or stolen.

Like WhatsApp, Siilo also uses end-to-end encryption — though in its case it says this is based on the opensource NaCl library

It also specifies that user messaging data is stored encrypted on European ISO-27001 certified servers — and deleted “as soon as we can”.

It also says it’s “possible” for its encryption code to be open to review on request.

Another addition is a user vetting layer to manually verify the medical professional users of its app are who they say they are.

Siilo says every user gets vetted. Though not prior to being able to use the messaging functions. But users that have passed verification unlock greater functionality — such as being able to search among other (verified) users to find peers or specialists to expand their professional network. Siilo says verification status is displayed on profiles.

“At Siilo, we coin this phenomenon ‘network medicine’, which is in contrast to the current old-­fashioned, siloed medicine,” says CEO and co-founder Joost Bruggeman in a statement. “The goal is to improve patient care overall, and patients have a network of doctors providing input into their treatment.”

While Bruggeman brings the all-important medical background to the startup, another co-founder, Onno Bakker, has been in the mobile messaging game for a long time — having been one of the entrepreneurs behind the veteran web and mobile messaging platform, eBuddy.

A third co-founder, CFO Arvind Rao, tells us Siilo transplanted eBuddy’s messaging dev team — couching this ported in-house expertise as an advantage over some of the smaller rivals also chasing the healthcare messaging opportunity.

It is also of course having to compete technically with the very well-resourced and smoothly operating WhatsApp behemoth.

“Our main competitor is always WhatsApp,” Rao tells TechCrunch. “Obviously there are also other players trying to move in this space. TigerText is the largest in the US. In the UK we come across local players like Hospify and Forward.

“A major difference we have very experienced in-house dev team… The experience of this team has helped to build a messenger that really can compete in usability with WhatsApp that is reflected in our rapid adoption and usage numbers.”

“Having worked in the trenches as a surgery resident, I’ve experienced the challenges that healthcare professionals face firsthand,” adds Bruggeman. “With Siilo, we’re connecting all healthcare professionals to make them more efficient, enable them to share patient information securely and continue learning and share their knowledge. The directory of vetted healthcare professionals helps ensure they’re successful team­players within a wider healthcare network that takes care of the same patient.”

Siilo launched its app in May 2016 and has since grown to ~100,000 users, with more than 7.5 million messages currently being processed monthly and 6,000+ clinical chat groups active monthly.

“We haven’t come across any other secure messenger for healthcare in Europe with these figures in the App Store/Google Play rankings and therefore believe we are the largest in Europe,” adds Rao. “We have multiple large institutions across Western-Europe where doctors are using Siilo.”

On the security front, as well flagging the ISO 27001 certification the company has gained, he notes that it obtained “the highest NHS IG Toolkit level 3” — aka the now replaced system for organizations to self-assess their compliance with the UK’s National Health Service’s information governance processes, claiming “we haven’t seen [that] with any other messaging company”.

Siilo’s toolkit assessment was finalized at the end of Febuary 2018, and is valid for a year — so will be up for re-assessment under the replacement system (which was introduced this April) in Q1 2019. (Rao confirms they will be doing this “new (re-)assessment” at the end of the year.)

As well as being in active use in European hospitals such as St. George’s Hospital, London, and Charité Berlin, Germany, Siilo says its app has had some organic adoption by medical pros further afield — including among smaller home healthcare teams in California, and “entire transplantation teams” from Astana, Kazakhstan.

It also cites British Medical Journal research that found that of the 98.9% of U.K. hospital clinicians who now have smartphones, around a third are using consumer messaging apps in the clinical workplace. Persuading those healthcare workers to ditch WhatsApp at work is Siilo’s mission and challenge.

The team has just announced a €4.5 million (~$5.1M) seed to help it get onto the radar of more doctors. The round is led by EQT Ventures, with participation from existing investors. It says it will be using the funding to scale­ up its user base across Europe, with a particular focus on the UK and Germany.

Commenting on the funding in a statement, EQT Ventures’ Ashley Lundström, a venture lead and investment advisor at the VC firm, said: “The team was impressed with Siilo’s vision of creating a secure global network of healthcare professionals and the organic traction it has already achieved thanks to the team’s focus on building a product that’s easy to use. The healthcare industry has long been stuck using jurassic technologies and Siilo’s real­time messaging app can significantly improve efficiency
and patient care without putting patients’ data at risk.”

While the messaging app itself is free for healthcare professions to use, Siilo also offers a subscription service to monetize the freemium product.

This service, called Siilo Connect offers organisations and professional associations what it bills as “extensive management, administration, networking and software integration tools”, or just data regulation compliance services if they want the basic flavor of the paid tier.

Sramana Mitra: How much runway did you have to raise money at this point? Jyoti Bansal: I had runway. I was managing the expenses carefully. Even though we had funding, I kept the team to less than...

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Forward Health, the U.K. startup that has built an app to help healthcare professionals communicate in a secure and compliant way, has picked up $3.9 million in seed funding.

Leading the round is Stride.VC, the new VC fund from Fred Destin, formerly a partner at Accel, and Harry Stebbings, producer of the “The Twenty Minute VC” and most recently Entrepreneur-in-Residence at VC firm Atomico.

Additional backing comes from Albion Capital, while Forward already boasts a decent array of angel investors. They include healthtech founders Jay Desai from U.S. company Patient Ping, and Melissa Morris from U.K.-based Lantum.

Founded in 2016 by U.K. doctors Barney Gilbert and Lydia Yarlott, with serial entrepreneur Philip Mundy (who previously founded Goodlord), Forward Health is a messaging app and broader communications platform designed for healthcare professionals, particularly those working in hospitals.

One overly simple way to think of it is as a “WhatsApp for doctors,” helping to wean healthcare professionals off of using the popular messaging app professionally, which is entirely unsuited for a regulated industry like healthcare. However, the bigger vision is to “connect healthcare systems around the world” by improving clinician-to-clinician (and potentially clinician-to-patient) communication and information-sharing with a platform that is built from the get-go to be secure, flexible and compliant.

“Healthcare communication is incredibly fragmented,” Forward Healthcare’s Mundy tells me. “This has a direct impact on how well clinicians can do their jobs and the level of care patients receive. Currently, doctors and nurses working within the NHS have to rely on an outdated and inefficient combination of pagers, landlines, switchboards and fax machines to contact each other. This 1960s infrastructure wastes huge amounts of time and can lead to critical delays in information flow.”

It is in this context that clinicians have resorted to alternative methods of communication, such as WhatsApp, which Mundy rightfully says are not fit for purpose and pose real risks.

“Any communication of this kind needs to support the exchange of highly sensitive patient information, any app used needs to be NHS digital compliant, GDPR compliant and operate within the highest levels of data security,” he explains. “WhatsApp and others don’t do this, meaning individual doctors could be liable should patient data be sent to the wrong contact or thread. Additionally, an app such as Forward is designed by and for doctors, meaning it can perform in just the right way.”

In Forward’s case, that means offering an in-app directory of healthcare professionals who work within the same hospital so that it is possible to message colleagues even if you don’t know their number, “safe exchange of information and images,” the ability to create task lists and a way of ensuring everyone involved with a patient’s care “is on the same page and working from the same information.” The latter includes the ability for clinicians to share patient cards, akin to a mini electronic health record, on a need-to-know basis.

To that end, the Forward app is GDPR compliant, NHS IG Toolkit Certified and meets the GMC’s confidentiality guidelines. Clinicians must have an approved NHS or Trust email address to log into the app. Over the last year it has been piloted with a community of 5,000 doctors across five partner hospitals.

In a call with Harry Stebbings — who led the round on behalf of Stride and whom I promised not to refer to as a podcaster-turned-VC (sorry, Harry, I’m a terrible person!) — he told me that Forward Health’s mission resonated with him personally due to his first-hand experience of how doctors communicate and share information in the NHS. It is quite well-known that Stebbings’ mother has MS, while more recently his father suffered a heart attack.

“I knew healthcare communication was broken when, post my father’s heart attack, they faxed his ECG scans,” he says, aghast.

When he was introduced to the Forward Health team, Stebbings says he already understood the problem. But, more so, he looks for founder-market fit and believes the Forward founders are extremely well-placed to solve this particular problem, with the right mixture of healthcare and product backgrounds.

He says that another thing that has impressed him is the bottom-up growth that the Forward app has garnered, which we both agree is a little reminiscent to how business social network Yammer originally penetrated corporations. This sees healthcare professionals download the app and sign up using their NHS email address, without the need for a central diktat. They then typically encourage colleagues to do the same, which creates further network effects. This viral growth is also benefiting from the current career path of junior doctors, who, as part of their training, move from hospital to hospital and in turn spread use of the Forward app.

Adds Mundy: “The last year has not only furthered our aims to help thousands of doctors and nurses avoid using pagers and WhatsApp, but it’s also shown us the scale of the clinical communication problem. It’s an issue at every level of healthcare, from A&E to community services, and affects all clinicians and every patient. With this capital, we’ll be able to work with even more clinicians across the U.K. to identify their challenges and expand our product to help solve them. We believe our current offering is just the start of what our platform is set to become.”

During this week’s roundtable, we had as a guest Miriam Rivera, Partner at Ulu Ventures, a firm committed to diversity as its core investment philosophy. undivide As for the pitches, first up, we had...

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