Archive for the ‘Highlighted’ Category

Agriculture. Healthcare. Real Estate: Three IBM Bluemix Use Cases

Thursday, May 19th, 2016

We spoke to a sample of Canadian startup entrepreneurs using IBM Bluemix to support their apps, and found a key theme was the amount of time and resources saved by leveraging Bluemix technology.

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Agriculture

The PlantID3 mobile app is used by agricultural professionals to monitor crop health. The service is in beta testing with 2,000 trial users and a soft launch is planned later this year in Australia.

Dylan Lidster, founder and CEO of PlantID3, says in agricultural tech, startup organizations clear a path for the larger corporations because they can pivot quickly and spend less money getting to market.

“The aging demographic of agriculture is quickly rolling over as a new tech sophisticated producer enters the market, open to change and moving swiftly,” he says.

In the app a farmer might take a picture of an apple tree with a disease. The app then searches through the database for pattern recognition and tags. The image is tagged and stored, and then feeds into recommendations for remedial practice, such as pruning techniques, fertilization or spray application. The database of image storage and tagging and the recommendation tree run off IBM’s BlueMix infrastructure.

Lidster is making sure that the customer base is involved at the early stages of development of the PlantID3 app, to ensure product fit with the interface. Being cheap and quick to scale is key.

“[BlueMix] saves many hours of labour and provides us with advanced services such as use of Watson that we could not achieve without the support of IBM,” says Lidster.

Healthcare

Speed and scalability are also paramount when you’re building an app that transmits health data. With SwiftPad, when patients take a photo of their prescription and send it to their pharmacy of choice, they can get real-time feedback on when their medication is ready and can opt to have it delivered.

Saif Abid, CTO of SwiftPad, says: “Currently, we have around 12 services running on IBM’s Bluemix network. To put this in a financial perspective, we’re spending around 75% less than we would with other competitors.” Among the services used are CloudFoundry, push notifications, and Watson.

“With Bluemix, we’re able to focus on engineering the best solution possible for our users without having to compromise the quality of tools and services we use,” says SwiftPad CEO and co-founder Amir Motahari.

Real Estate

Gregory Melchior, CEO of real estate software startup 4D Virtual Space, is using social media marketing as a key part of his growth strategy. His organization aims to replace floor plans for real estate developers. Instead of constructing a sales centre, realtors would use the app to show customers through a space, allowing prospective buyers to walk through and even visualize how their own furniture might look.

Feedback from users is vital, and quickly accessed. “With IBM Watson we’re able to get, per month, 500,000 documents analysed in social media immediately,” says Melchior. “We hit the ground running.”

Click here for a free IBM Bluemix trial.

 

 

 

Is a Star Trek-Style Tricorder Here?

Monday, May 16th, 2016

When Dr. Sonny Kohli was volunteering in Haiti in 2010 he found himself in a hospital that lacked basic diagnostic equipment.

As he worked to fix a broken EKG unit with duct tape and wires, he asked a simple question: Why don’t I have a smartphone-connected EKG?

Tricorders, used in the Star Trek universe, refer to the device’s three primary functions: sensing, computing and recording. To get one with light and sound effects, (but without anything in the way of a useful function), one only needs to order online.

However, real life is now catching up to the future as depicted in the 1960s. Dr. Kohli is turning science fiction into reality as the chief medical officer of Cloud DX Inc., a Kitchener, Ontario-based startup with the world’s first working tricorder-like health device.

With such promising technology, it’s no surprise Cloud DX has been chosen as one of 17 Canadian companies taking part in the C100’s upcoming 48hrs in the Valley program.

So what’s being said in social media about Cloud DX?

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Terms like “Star Trek” and “tricorder” appear thanks to this article by Communitech, which was shared by an influential account, Invest Ontario.  

The terms “Qualcomm” and “Xprize” appear in the discussion because the device, called Vitaliti, is one of seven finalists in Qualcomm’s $10 million Tricorder Xprize.

One of many Xprize competitions, the tricorder prize challenges entrepreneurs to create a portable, wireless device that can diagnose 13 conditions and real-time monitor 5 health vital signs without intervention from a doctor.

Watch Dr. Kohli talk about the competition and why devices like Vitaliti are so important:

Mind the Startup Leadership Team Gap, Investors Say

Monday, May 16th, 2016

Startup entrepreneurs know going it alone is seldom a good idea. But a senior “team” with only one kind of speciality – be it engineering or product development – can be equally as difficult.

Sonia Strimban, manager of venture operations at Toronto’s MaRS Discovery District – an accelerator, said one of her first interventions when a company joins is to make sure the right blend of leadership is at the top.

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“You absolutely need a team,” Strimban says. “Nobody is going to give you money for an overdeveloped product without a business model.”

Strimban adds that it’s important to plan your leadership team for growth at different stages.

“At series A, typically, we see the most benefit in an executive in sales and marketing. If you’re not selling and you can’t accelerate growth, you’re pretty much toast. [You need] somebody who has revenue growth capability.”

This is particularly true now that VCs have pivoted away from startup unicorns in favor of the unstoppable cockroach.

Other investors concur about the risks inherent in single-person or unbalanced startups.

David Cohen, a co-founder and managing partner at Techstars Ventures, said in a 2007 blog post that he won’t rule out sole entrepreneurs, but holds them at a disadvantage. “Look for someone who compliments your skills,” Cohen said. “If you’re great at coding, find someone who’s great at selling or marketing.”

Cohen’s investment instincts proved astute as Techstars became an early investor in Uber just two years later.

Location is a Factor

Location can also often become a factor in finding the right senior team lineup.

“The U.S. definitely has many layers of experience of people in robust urban areas,” explains Gregory Melchior, Founder/CEO of startup 4D Virtual Space.

Some areas such as Greater Boston or Silicon Valley have a wider spread of skills at founder level. “There seems to be a correlation between the top universities – institutions have a ripple effect – that allows for a robust labour force.” Melchior adds.

However, finding co-leadership you can trust is now almost as easy as swiping right. Sites such as FounderDating aim to bridge the leadership gap by connecting leaders with different and complementary skills.

And true to their word, these platforms screen applicants so their base doesn’t get top-heavy with engineers.

Under Armour Leverages IBM’s Watson to Challenge Fitbit

Thursday, May 12th, 2016

One of the biggest brands in athletic wear is charging into wearable tech with a pack of products and a pair of tech industry partnerships. Under Armour is leveraging artificial intelligence to give its offering an edge over competing products from Nike and Fitbit. 

Retailing for $400, HealthBox is a trio consisting of a Fitbit-like band, a digital scale and a heart-rate monitor. And UA isn’t starting from zero in its effort to tap demand for wearables.

Over the last few years, the company has snagged three massive online fitness communities: Endomondo, MapMyFitness and MyFitnessPal. They now control the largest online wellness-focused ecosystem, at 165 million users. And it’s what HealthBox can do with all that data that makes this a compelling package.

Under Armour partnered with HTC to develop the hardware and a smartphone app called UA Record, which ties all the products together. The UA fitness tracker is cleanly designed, made of a rubber-like material with a LED display. The heart rate monitor is constructed of durable band and the monitor glows when it detects a heartbeat. The scale measures weight and BMI. All the data from the three devices talk to each other and transfer data via Bluetooth to UA Record.

Cognitive Coaching

Under Armour’s partnership with IBM and the “cognitive coaching” potential of Watson differentiates HealthBox from the competition. By feeding nutrition, training, and sleep information into Watson, it’s “able to understand data in large volumes, make recommendations, and continuously learn,” says Chris Glodé, Under Armour’s VP digital, connected fitness. “The more data UA Record inputs, the smarter Watson becomes.”

UA has experimented with Internet of Things in the past. They built a sensor-laden compression T-shirt back in 2011 for the NFL Combine, where college stars worked out for prospective pro teams. The shirt provided raw data on acceleration, speed and heart rate for scouts to pour over. HealthBox and the partnership with IBM means that the Record app will be able to send the data to Watson to disambiguate.

Watson’s Cognitive Coaching uses a comparative model, grouping users based on criteria like age, gender and activity level in order to provide training and recovery recommendations.

And the experience will get richer over time.

“As you record more data and as more data is recorded across the community, the smarter the insights will become,”  Glodé says.

How Much is Cognitive Technology Helping the Raptors?

Tuesday, May 10th, 2016

A year ago the Raptors were victims of an unexpected 4-0 sweep in the first round of the NBA playoffs at the hands of the lower-ranked Washington Wizards. They’re now tied with the Miami Heat 2-2 in a grueling best-of-seven series, which will see the eventual winners play LeBron James and the Cleveland Cavaliers in the Eastern Conference finals.

Maple Leaf Sports & Entertainment, which owns the Raptors, announced in February that it would use cognitive analysis provided by IBM’s Watson technology platform, noting that Watson would be used mostly for talent acquisition.

Is cognitive technology one of the factors behind the improved performance?

It’s difficult to answer that question because the Raptors consider the IBM agreement to be a competitive advantage, and are therefore mum on this subject. With a head coach as tight lipped as Dwane Casey, this is hardly surprising.

There’s only been one addition to the team since IBM and the Raptors announced the use of Watson, so the application of cognitive technology might not be a factor unless they’re using Watson’s analysis for more than recruitment.

Unstructured Data

Traditional analytics-based approaches require data to be tightly structured and presented in a predictable format. Watson is different in that it makes sense of large volumes of unstructured data — video footage, news articles, scientific journals, social media, as examples —  which a few years ago would have required a human to interpret.

And the machine learns. The more data it’s fed, the better its predictions become. Each suggestion is even accompanied by a confidence level rating.

In professional sports, Watson can be used to determine, based on any number of parameters, if a player will be a good fit for a team’s social dynamics. Artificial intelligence can quickly identify, for example, a player who will fill the needs for a particular position, work within salary restrictions, and play well with teammates.

With two crucial contracts — Bismack Biyombo and DeMar DeRozan — on the table at the end of this season, a salary cap to manage and four first-round draft picks over the next two years, the next incarnation of the Raptors lineup is far from clear.

While it’s tough to gauge Watson’s impact on the current season, the platform is likely learning much as it analyzes players on and off the court. Whatever the case, fans should expect the big data addition to play a bigger role in the Raptors’ strategy going forward.

Why Canada’s Tech Scene is Worth Getting Excited About

Tuesday, May 10th, 2016

Editor’s Note: This piece was re-printed from a LinkedIn Pulse item with permission from the writer, Jeff Booth, who is Co-Founder, President and CEO of BuildDirect. The original version lives here

Earlier this year, Microsoft added its fourth development office to downtown Vancouver, joining a who’s who of U.S. tech names that have set up shop in Vancouver in recent years, including Amazon.com, Salesforce.com and Facebook.

It’s tempting to say the city is blossoming into Silicon Valley North but, to truly earn that title, Vancouver — or any other Canadian city for that matter — must build its own ecosystem of successful, home-grown tech companies. In fact, we’ll know Vancouver has made it when tech companies from here are setting up outposts in other places.

Of late, it’s become fashionable to point out all the reasons this will never happen. Canadian tech naysayers point to troubles finding experienced senior management, a shortage of funding and a university system not pumping out enough research and engineering talent as reasons Canada will never compete with hubs like California and Washington. Some of those critiques are valid, but do they predict the future or do they just describe the present?

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Early on when building BuildDirect, I was asked to sit on a Conference Board of Canada roundtable on boosting tech innovation, comprised of leaders in industry, academia and government. Although the group was set up to help Canada win, the discussion always felt like an endless circle of laments: why entrepreneurs sell out too early, why Canada doesn’t celebrate our successes, etc. What frustrated me most was it seemed everyone got it backwards.

It’s the entrepreneur who starts the whole cycle by having a vision bigger than himself and carrying it out. That act, the vision of a different future, is what creates the value that attracts the rest of the ecosystem.

The reality is these are early days for aspiring technology centres like Vancouver, Toronto or Waterloo. It’s easy to look to established ecosystems and see countless shortcomings in comparison: there isn’t a giant anchor company like Google to spin off ideas and talent; soaring housing prices and border bureaucracy sway top talent from moving; start-up capital can be in short supply.

But that’s a near-sighted approach. Looking at the bigger picture, Vancouver and other Canadian cities hold enormous promise and advantages even Silicon Valley didn’t have in its infancy. We should be looking to leverage those advantages instead of wallowing in our shortcomings. The more apt comparison for Vancouver isn’t the Seattle or Northern California hubs of today, but where those centres were at their beginnings.

From Prunes to Electronics

A century ago, the Santa Clara Valley’s export specialty was a plum variety that could be processed into prunes. In fact, it wasn’t until 1971 when the Silicon Valley moniker was first used. The area’s technology industry began with World War II-era government investment into radar and electronics research at Stanford University. More government money flowed throughout the Cold War to the Valley and to Massachusetts’ Route 128, fostering the growth of now-famous companies like Hewlett-Packard and Xerox PARC. Seattle’s smaller hub was built around companies like Boeing.

Often overlooked is the fact that Silicon Valley’s tech sector didn’t overtake Massachusetts in profits and innovation until the 1980s — proving that a smaller, weaker player can grow and win. Even then its economic output was a fraction of what it is now. It’s easy to see the economic powerhouse that Silicon Valley has become, but it’s worth remembering the long road it took to get there and the many failed companies it left along the way. The vibrant ecosystem we see now is a byproduct of those struggles.

It’s also important to point out the role that determined, focused individuals played in these early histories, when success was anything but a surefire bet. Silicon Valley literally began in a Palo Alto garage rented by Stanford University graduates Bill Hewlett and Dave Packard, who started the Hewlett-Packard Company in 1939 with $538 in working capital and a used Sears Craftsman drill press.

Elon Musk, Stewart Butterfield

Canada does not lack people with great ideas and grand vision. It’s often overlooked that one of the most esteemed innovators of the 21st century, Elon Musk – the mind behind PayPal, SpaceX and Tesla – is a Canadian citizen and attended Queen’s University in Kingston before ultimately moving to the U.S. Vancouverite Stewart Butterfield created the original photo-sharing site Flickr in the mid 2000s and went on to build the office social platform Slack, now headquartered in San Francisco and valued around $4 billion.

At the same time, dedicated entrepreneurs can achieve great success within Vancouver’s ecosystem, and help the ecosystem as a whole flourish. This is the difficult path that Silicon Valley’s founders took, and that local companies like D-Wave Systems, Hootsuite, Shoes.com, Mobify and my own company are committed to taking. We might have reached a steeper growth trajectory by moving to the U.S., but wanted to build something great here.

Yes, there’s room for improvement on a variety of fronts north of the border. We need to ramp up investments in education, loosen red tape for importing talent and build up our funding infrastructure. But true entrepreneurs see opportunities where others see problems. They go where everybody isn’t.

In that sense, there are more opportunities in Vancouver in 2016 than in the Silicon Valley of today, precisely because not everybody has seen them. Investment opportunities here are under-exploited compared to the sky-high valuations seen in more prominent centres, a fact that many of smartest (and best funded) VCs are clueing into, bringing new sources of funding to the city. Not all home-grown companies will succeed, but some will — and the payoff is going to be more than just money.

Self-sustaining Engine

We’ve seen that building a technology hub takes time, resources, and innovation, but those investments combine to create a self-sustaining engine for economic growth and advancement. The sum is far greater than the parts.

Vancouver is a young ecosystem, but it’s a closely knit community whose leaders reach out and support one another. It can achieve greatness if it holds to the kind of faith that built Silicon Valley from its humble start. And the same goes for Waterloo, Toronto and the other emerging and established tech hubs in Canada. The potential is, in fact, enormous, if we can see beyond the early hurdles.

There will always be shouts from the sidelines from people who say things can’t be done. But, to borrow a line from Teddy Roosevelt, the credit belongs with he who “spends himself in a worthy cause; who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly.” This may seem melodramatic, but for entrepreneurs dedicated to building a tech ecosystem in Canada, business is truly more than just business. This is a project fueled as much by passion as by profit, and one that promises extraordinary things in the years ahead.

Investors Weigh in on Programming Language Choice

Thursday, May 5th, 2016

As a startup, your choice of programming language may not be top of mind for potential investors, but it can affect funding potential under some circumstances. We asked tech investors about factors to consider when making that choice.

For Federico Wengi, a venture capital associate with Paua Ventures in Berlin, startups should consider their comfort level with the language, where the market is going and if the language they choose is the best one to reach their goals. While VCs usually don’t try to change decisions around programming languages, the way programs are written could affect investment decisions.

“If we don’t like what we see in the tech [due diligence], we walk away,” Wengi said. “It is important that we can establish proof that the team has built a sustainable backbone of tech on top of which the first customers can be won.”

A CTO, for example, might be comfortable using Scala, and that language might also be suitable to reach the startup’s goals. “But once you scale who are you going to hire?” said Wengi. “According to GitHub, Scala is one of the least popular languages. On the other hand, if you are building a robotic prototype you have little use of a language like Java, regardless of the quantity of talent you might be able to acquire.”

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For Leo Polovets, a partner at Susa Ventures and former software engineer at Google and LinkedIn, the programming language isn’t a factor for his fund unless the choice is clearly inappropriate. “If someone is trying to build cutting-edge deep learning APIs, then PHP is not the right language for that,” he said. “But PHP, while somewhat out of style, is perfectly fine for many other applications.”

The most popular programming languages for startups are Javascript, Ruby, Python and Java, according to Polovets’ analysis of AngelList data. He found that JavaScript is by far the dominant programming language choice for startups, followed by Ruby, Python and Java; Ruby on Rails is the top choice for front-end technology.

Polovets also correlates stronger startups with modern or functional programming languages, such as Go, Scala, Haskell, Erlang and Clojure. PHP, on the other hand, is on the decline, and several sites list developer pain points, such as PHPWTF and PHP Sadness.

Overall, though, VCs generally have no say over a startup’s tech stack, said Polovets. Most VCs are adept at evaluating founders, markets and business models, but don’t have the tech knowledge to recommend programming languages.

“Most investments happen after there’s already some code in place, or even a live product,” Polovets said, “Changing programming languages at that point would be a huge, unnecessary time sink.”

Startup Simulations: The Future of VC Funding

Wednesday, May 4th, 2016

Startups understand survival of the fittest. But some might find themselves weeded out of the ecosystem faster than expected if artificial intelligence is deployed to evaluate them.

Recent advances in gaming and AI are adding another layer of complexity to an already competitive landscape in the form of “startup simulations.” As finance becomes more data-driven, simulations – which have been long been leveraged for gaming – serve a new purpose: determining whether or not a startup receives funding.

Business and economic simulations have been around since the 1990s, including well-known examples such as SIMS and Capitalism. In the past, these games catered to a leisure market, while simulations created for business applications have predominately served training and modelling purposes. Their potential now exceeds that.

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Games have the ability to test a startup’s performance before it goes to market. Using real-world and real-time market and economic data, these simulations mimic the conditions a startup encounters at the time it seeks funding. Based on those conditions and predicted trends, VCs could watch the life-cycle of a startup play out within a game before deciding to invest.

Tweaking the parameters to resemble different geographic markets can  help VCs gauge where and when a startup might achieve success, or if it will fail regardless of the circumstances. Armed with that information, the risk of investing in any given startup could be lowered.

The current approach to valuations includes basic tools such as formulas, calculators, and spreadsheets, all supported  by a VC’s intuition.  While these tools may never completely vanish as part of a VC’s due diligence, they lack the predictive capabilities and rich-picture approach a simulation can provide.

Simulations aren’t just theoretical, futuristic ideas. Growth Science, a data science firm founded by Thomas Thurston, already uses them. Thurston’s simulations, he claims, correctly predicted that Snapchat, Uber, and Airbnb would be big  and that their accuracy  when predicting whether or not a company will still exist in five years is 66 percent.

“Comparing our ‘quant’ [quantitative] approach to traditional VCs is like comparing a qualitative stock picker with an algorithmic hedge fund,” says Thurston. “Our process is mechanical. We use data, math and rules to try and isolate the specific percentage probabilities that any business will hit our goals as investors. We invest based on quantified probabilities, rather than intuition.”

The implications for startups are huge.

According to Thurston, Growth Science can “not only make probability-based predictions about whether a startup will succeed or not, but they also let us run ‘what if’ scenarios and to test-drive multiple strategies. This way, we not only know what’s likely given the startup’s current assumptions, but we can also identify trouble spots and help the startup course-correct to be more successful.”

Growth Science claims to draw on private and public databases across industries, and has “guided billions of dollars in organic growth, acquisitions and corporate venture capital.” according to the company’s website.

What further implications might the prevalence of startup simulations have?

  • Venture capitalists might require a successful simulation from a reputable source before confirming investment and releasing funds. Valuations could be determined entirely by algorithms within simulations.
  • A startup’s international viability could be tested in advance, and used to determine the strategy and suitability for expansion into one market over another.
  • The gaming industry might follow suit and develop nuanced, AI and data-driven games for corporate clients who want an edge in formulating strategies, creating processes, risk management, increasing motivation/engagement, driving customer engagement, and developing talent.
  • Predictive analytics: Games could be used to identify real-world gaps and market opportunities, informing which businesses and services need to be created next.

Startup simulations have a broad economic impact if they are robust, realistic, and accurate. As the use of simulations becomes more widespread, the concept has the potential to alter how businesses are established, and how they grow beyond the early stages.

Startup simulations might not just predict future outcomes — they’ll create them.

Some details for this article were provided through a research project done as part of OCAD University’s Masters of Design, Strategic Foresight and Innovation program.

VOX: Non-compete Enforcement Hobbles Tech Ecosystems

Tuesday, April 19th, 2016

Silicon Valley has soared on the strength of tech innovation while the “Massachusetts miracle” fizzled, Vox writes, in a piece that analyses how non-compete agreements in employment contracts have affected tech startup ecosystems.

California has gone further than other states to nullify such clauses. They’re not just void in the sunshine state; employers can be held liable for refusing to hire someone for not agreeing to sign one. The unfettered job-hopping freedom that results has helped to support companies like Intel, Tesla and YouTube.

In contrast, Boston-area ventures Digital Equipment Corporation and Wang Laboratories, behemoths in their day, are gone. (You might want to keep the volume down when you hit the Wang Labs link.)

However, the Bay area’s edge may get blunted.  

“Most states have laws like Massachusetts, and recently policymakers from Massachusetts to Hawaii have been considering reforms to noncompete agreements,” Vox says.

That might give Boston, as well as other areas boasting institutional strength in academia and venture capital, a chance to catch up.

Cinemagraph Pioneer Flixel Hits a Milestone that Investors Prize

Tuesday, April 12th, 2016

Flixel, the Toronto startup recently selected as a Facebook partner for its living-photo technology known as cinemagraphs, is now funding growth through its own sales, a parameter that many investors want instead of growth-at-all-costs.

More paying customers allow Flixel, whose main product is Cinemagraph Pro, to split revenues between product development and marketing efforts channeled through Facebook.

“Since our pricing model allows us to acquire customers through targeted Facebook ads, we are able to have a healthy CAC/LTV (customer acquisition cost/ lifetime value) ratio,” says CEO and cofounder Philippe LeBlanc.

The Flixel startup story includes overcoming tough odds before finally getting their big break with the TV program America’s Next Top Model, and an investment from show’s host, supermodel Tyra Banks. The company’s success has since been propelled by the growing interest brands have in using Flixel’s cinemagraphs on social media sites such as Facebook and Instagram. The visuals are more engaging than straight stills, LeBlanc says, adding that they’re also shorter and more cost effective than video.

The Facebook association will only deepen now that Flixel’s cinemagraphs have become a free option for profile photos on the platform that boasts about 1.6 billion regular users.

Prices Rise

Flixel sells software, hosting and licensing services for customers making their own cinemagraphs, and has a creative team producing them for brands including Netflix, Panasonic, and A&E. Flixel’s apps, both iOS and Mac, have been downloaded over 1 million times, according to a spokesperson. The company won’t provide further details about their revenues.

By raising the price of its mobile app 400%, Flixel is doubling down on revenue growth as its strategy as opposed to user growth. Because the processing power of the latest iPhones and iPads allow Flixel are on par, CTO Mark Pavlidis explains, Flixel has made its iOS app equal to the Mac app in terms of functionality. Flixel also sells a subscription version for $199 a year.

“We believe the price raise will have an increase in revenue both in terms of licensing sales, but more importantly in terms of tipping the scale to go the subscription route versus licensing each of our product lines separately,” LeBlanc says. “Raising money is always easier when a) you don’t need venture money b) you can show your revenue is growing and that additional money will only serve to accelerate this growth.”

Flixel’s customers are largely Adobe Creative Cloud users, including photographers, videographers, as well as creative directors at a wide range of marketing and advertising agencies. In addition to Tyra Banks, Flixel has been funded by a handful of private investors, as well as the Business Development Bank of Canada and the New Brunswick Innovation Foundation.