Archive for the ‘Technology’ Category

AR Startup Skully Facing Lawsuit Alleging Fraud

Thursday, August 11th, 2016

📰 UPDATE 📰 Since we first published this story, Skully has been hit with a second lawsuit. This time from Flextronics, the manufacturer making the high-tech motorcycle helmets. It says Skully owes them more than $1 million. Read more about that story here.

Skully, a San Francisco startup that aimed to create an augmented reality motorcycle helmet with 180-degree vision, is facing a lawsuit alleging poor employee practices and “fraudulent” use of funds on last-minute plane tickets and strip clubs.

Former Skully executive assistant Isabelle Faithhauer, who undertook bookkeeping duties for Skully, said in the lawsuit that the two co-founders “intermingled personal funds with corporate funds and used the corporation as a tool to pay their personal expenses.”

These expenses included:

  • Personal groceries and restaurant bills
  • Lamborghini rental
  • Trips to Bermuda and then to Hawaii on 24 hours’ notice
  • $2,000 on a Déjà Vu strip club

The allegations stand out, even in a culture that celebrates zip lines over pools as a channel for coding creativity. If they’re true, Skully would be an egregious example of startup culture going awry after raising huge interest and funding; another being the rise and sudden decline of Zenefits.

The lawsuit also claims that Faithhauer was not paid due overtime, that one of the founders called her autistic son a “dog,” and that she was fired after taking one week’s approved vacation.

Skully received $2.45 million in crowdfunding from IndieGogo and $11.5 million in Series A funding from Intel and Walden Riverwood Ventures.

Skully now plans to file for Chapter 7 bankruptcy, according to CNN Money. Co-founder Marcus Weller said: “We plan to vigorously defend ourselves against these claims. We strongly believe we will be vindicated in the end.”

A full copy of the lawsuit is available on Scribd.com.

AI and Big Data: The Next Frontier of Fintech

Wednesday, July 27th, 2016

Data analytics is becoming a cornerstone of the financial industry, with startups and established financial service firms looking to give investors clearer guidance with information collected and captured from multiple sources.

Advances in machine learning and artificial intelligence (AI) in particular are providing greater insights and better customer experiences.

AI-powered data analytics not only captures vast amounts of data in real-time, but also helps users understand how different data points relate to each other, providing insights that might otherwise be lost. Faced with a breakdown in brand loyalty as younger customers prioritize user experience, financial services are now racing to leverage data-driven cognitive technologies.

Cambridge, MA-based Kensho, which recently received $58 million in funding from Goldman Sachs, San Francisco-based Alphasense, backed by Tribeca Venture Partners, and Toronto-based Bigterminal are some of the fintech players leveraging AI.

It’s a lucrative market. Equity deals for AI startups, including fintechs, has increased nearly six times to nearly 400 in 2015, up from from 70 in 2011. As of June 15th, more than 200 AI-focused startups raised nearly $1.5 billion (U.S.) in funding this year alone.

 

TechPortfolio-Quote about Watson

“Data is the lifeblood of AI,” Falguni Desai of Future Asia Ventures wrote in Forbes recently. Desai quotes Adrian Lawrence, partner at Baker & McKenzie, in saying: “data and the various rules and processes which both enable and regulate access to and use of that data, stand at the heart of disruptive fintech businesses.”

The market is also “evolving from a descriptive analytics model (rear view mirror view) to a predictive analytics model (insight GPS view),” says Jim Marous, co-publisher of  Financial Brand.

“With predictive analytics, we are in a better position to ‘know the consumer,’ ‘look out for the consumer’ and ‘reward the consumer,’” he writes, “learning from previous experiences and predicting future behaviour.”

Bigterminal CEO Adam Rabie says advances in machine learning are allowing fintech platforms like his to do more for their customers.

Powered by IBM Watson, Bigterminal’s solution curates, consolidates, and analyzes financial data from markets, social media, and other sources. The company’s target market includes researchers, analysts, and traders as well as big banks and insurance companies. Bigterminal’s app can be used to conduct research, generate hypotheses, and make decisions based on significantly more data than what financial analysts traditionally use.

“Previously unthinkable”

Leveraging IBM Watson’s cognitive technology has allowed Bigterminal to do what was previously unthinkable, Rabie says.

“Our machines are computing hundreds of thousands of stories a day, millions of tweets, and trillions of financial data points,” he says. “If it can be smart at finding the anomalies and the connections between them, it can deliver a lot of explanations that are outside of human capacity.”

Developer FYI

Other notable financing in the space includes a $325 million Series E round last year for Avant, a personal-loan startup that leverages machine learning. Seattle-based fintech Kavout also recently launched a new investment platform that finds trading opportunities using tools powered by machine learning and big data.

Improvements in cognitive technology, such as relationship analysis and language comprehension, will expand the possibilities for data analytics in finance and banking. As fintechs bring this functionality into their services, they will continue driving disruption in the financial world.

For a free trial of IBM Watson Analytics click here.

NYC Tech Catches Up to the Hype

Monday, July 25th, 2016

Editor’s Note: This post by Matt Turck, a Managing Director of FirstMark Capitalfirst appeared on mattturck.com.

The New York tech ecosystem is in an interesting place right now.  The emergence of NYC was a big story at tech conferences and in the press maybe four or five years ago.   Fast forward to today: on the one hand, NYC has become the clear Number 2 to the Bay Area; on the other hand, it’s hard not to notice that things have gone a bit quiet – at a minimum,  we seem to be past the stage of unbridled enthusiasm.

The bull case is that New York is now firmly established as a startup hub, and therefore it is less press-worthy than when it was first emerging; to wit, entrepreneurial activity and VC investment levels have never been higher (for context, with $1.9B invested, Q1 2016 saw almost 7x more VC investment in NYC than Q1 2012)

The bear case is that, for all the progress, NYC still suffers from many of the same issues that have plagued it for years: a relative dearth of $1BN+ exits, a lack of local anchor companies that can serve as acquirers, and a comparatively lower concentration of talent, particularly when it comes to not just starting, but actually scaling, startups.

Those are non-trivial concerns: while they offer some protection, network effects can just as easily peter out as they can get stronger – an ecosystem is fundamentally a living and breathing organism.

My take:  New York is in the process of catching up to the hype.  That doesn’t make for splashy headlines, and takes a long time, but the reality of the NYC tech ecosystem coming of age is actually happening right now.

The Slope of Enlightenment

So where are we? If there was a Gartner hype cycle for emerging tech ecosystems, my sense is that New York would probably be somewhere in the “slope of enlightenment” phase.

HypeCYcle-2

Both the scale and the steepness of the slopes are not right, but this is probably directionally correct.

New York had a long ride to the “peak of inflated expectations”.  Throughout the 90s and the 00s, New York went from having a handful of entrepreneurs and VC firms to something that felt more like a real community (then known as “Silicon Alley”).

But it probably wasn’t until 4 or 5 years ago that people started talking excitedly about New York as having the potential to be a major global tech ecosystem.  There certainly was tons of momentum, with everything coming together nicely.  It had a deep connective tissue of meetups, conferences and new incubators.  It had a mayor, a tech founder himself, who truly got it.  It had some VC firms like Union Square Ventures with national appeal, and West Coast firms were starting to actively invest in later rounds.   And most importantly, it had a whole series of fast-growing startups, the bloodline of any ecosystem.  The press (a lot of it New York based) was all over it – not only was New York going to take over Boston, it was also about to give Silicon Valley a major run for its money!

A lot of the above is still true, but unfortunately, there has been a number of hiccups along the way.  A lot of the “poster child” companies that were frequently mentioned then have gotten into various levels of trouble, after raising large amounts of VC money.  Gilt ($271M raised) had an underwhelming exit.  Fab.com ($336M raised) was a flameout.  Quirky ($175M raised) went bankrupt.   Foursquare ($166M raised) has been working on finding its second wind as a data company.  There were some great acquisitions (Tumblr’s $1.1BN acquisition was a watershed moment), and some New York startups had IPOs – but unfortunately, those newly public companies, like many others across the country, experienced difficulties in the public markets (Etsy went from a $3.3BN market cap at IPO to $1.1BN currently; OnDeck went from to $1.3BN at IPO to less than $400M currently), with Shutterstock being the exception.

Finally, there are a number of large startups in New York that have been doing quite well, but are now reaching the 10-year mark, and have yet to reach an exit.

All of this had led, perhaps not to “disillusionment”, but certainly to more nuanced feelings, and people generally realizing how long it will truly take for New York to come into its own.

Rinse and Repeat: Still Early

As any student of emerging tech ecosystems knows, the key dynamic to success is the “rinse and repeat” cycle. You need several waves of successful tech companies to go through the whole cycle of founding, financing, scaling and significant exit.   Post-exit, the hope is that successful founders, employees and investors then contribute back both money and expertise to the next generation of tech startups, a few of which eventually become highly successful themselves and then provide money and expertise to the following generation.

The trouble is, each successive cycle takes years, because the average successful startup takes 5 to 10 years to get to a large exit.

One key reason the Silicon Valley has become such a powerful network is that this “rinse and repeat” cycle has been happening there for decades, at least since the 1940s and 1950s (Hewlett Packard), with a real acceleration in the 1970s and 1980s (Apple IPO, founding of Kleiner Perkins, etc).

At the other end of the spectrum, some of the more recent tech hubs are arguably just at the beginning of their second cycle.  In Paris, for example, the next cycle is under way, with alumni of successful startups like Criteo or Exalead creating a number of new ventures, such as Algolia and Dataiku, but those are still relatively young (2 or 3 years in).

New York is somewhere in the middle, but probably still on the earlier side – perhaps 5 cycles in?  The comparative lack of exits doesn’t help, as it slows down when the next cycle starts.  The point here is that, while New York is well on its way, things take time, and you can’t just hope to rush through cycles – getting to a fully mature tech ecosystem will require continued patience.

NYC Talent is (Finally) Maturing

Now, to the bull case about New York.

One particularly apparent aspect, from my perspective: there is now a much larger pool of experienced startup talent to choose from.

It’s certainly not perfect – as mentioned above, there are just not that many people who have been repeatedly through the growth stages of the startup life.  But New York has come a long way in a few years.  Not so long ago, when looking for, say, a VP of Marketing, or someone to run operations, startup founders often needed to really stretch — could that agency person somehow figure out the marketing job? Could that smart associate from Goldman Sachs learn the operations role on the job?

That’s much less the case now.  There are a bunch of people in the system who have now worked at 2 or 3 startups in the past.   Even companies like Fab and Quirky, despite not making it past the goal line, have produced legions of experienced talent, who have now joined other startups or started their own.

There’s also an interesting emerging phenomenon around people starting to leave the NYC outposts of the various West Coast tech giants after several years of service there — Google, in particular (whose impact on NYC has been incredible), but also Facebook, Twitter, Microsoft — to join or start NYC startups.  For example, the three founders of Cockroach Labs (in the FirstMark portfolio) are all former senior engineers at Google who moved East to work at Google New York, and then decided to remain in New York to  start new ventures.

Finally, we’re seeing an increasing number of people who are moving from the Bay Area to New York.  Some are people who are originally from the East Coast, or went to school there, and decide to move back after a few years in the Bay Area, because they want to live in New York.  Others are executives with no particular history on the East Coast, who are recruited into NYC startups — the interesting trend here being that those execs feel increasingly comfortable that there is enough density of quality startups in NYC that they could find another great job, should this one not work out.

A Broader, Deeper Ecosystem

The other big story about New York is that it is no longer just about ad tech, media, commerce and fashion tech.  In fact, it hasn’t been for years, but perceptions are slow to evolve, and it seems to still be what many people outside of New York seem to believe.

One way of thinking about New York’s tech history is one of gradual layers, perhaps something like this:

  • 1995-2001: NYC 1.0, lots of ad tech (Doubleclick) and media (TheStreet)
  • 2001-2004: Nuclear winter
  • 2004-2011: NYC 2.0, a new layer emerges around commerce (Etsy, Gilt) and social (Delicious, Tumblr, Foursquare), on top of adtech (Admeld) and media
  • 2012-present: NYC 3.0 – in addition to the above, just about every type of technology covering just about every industry

Certainly, the areas that put NYC on the map in the first place continue to be strong.  New York is the epicenter of the redefinition of media (Buzzfeed, Vice, Business Insider, Mic, Mashable, Bustle, etc.), and also home to many great companies in adtech (AppNexus, Tapad, Mediamath, Moat, YieldMo, Magnetic, JW Player, etc.), marketing (Outbrain, Taboola, etc) and commerce (BarkBox, Birchbox, Bonobos, Casper, Harry’s, Jet.com, Rent the Runway, Warby Parker, etc.).

But New York has seen explosive entrepreneurial activity across a much broader cross-section of verticals and horizontals, including for example:

  • Fintech: Betterment, IEX, Dashlane, Fundera, Bond Street, Orchard, Bread
  • Health: Oscar, Flatiron Health, ZocDoc, Hometeam, Recombine, Celmatix, BioDigital, ZipDrug
  • Education: General Assembly, Schoology, Knewton, Skillshare, Flatiron School, Codecademy
  • Real estate: WeWork, HighTower, VTS, Compass, Common, Reonomy
  • SaaS: InVision, NewsCred, Squarespace, Sprinklr, Conductor, Namely, JustWorks, Greenhouse, Percolate, Mark43, Movable Ink, Splash
  • Commerce infrastructure: Bluecore, Custora, Welcome Commerce
  • Marketplaces: Kickstarter, Vroom, 1stdibs, SeatGeek
  • On Demand: Handy, Via, Managed by Q, Hello Alfred
  • Food: Blue Apron, Plated, Maple
  • IoT/Hardware: littleBits, Canary, Peloton, Shapeways, SOLS, Estimote, Dash, GoTenna, Raden, Ringly, Augury, Drone Racing League, Electric Objects
  • AR/VR/3D: Sketchfab, Floored
  • Bitcoin/Blockchain: Digital Currency Group, Digital Asset
  • Nonprofit/Charity: charity: water, DonorsChoose, DataKind, Crisis Text Line, DoSomething

A number of those companies are scaling very significantly.  While “unicorn” status and/or large amounts of VC money certainly do not guarantee success (as seen above), it is worth noting some recent large rounds for companies such as WeWork ($430M Series F), Oscar ($400M Series C), Vice Media ($250M growth equity round), Flatiron Health ($175M Series C), Betterment ($100M Series E), Via ($100M Series C), Vroom ($95M Series C), Datadog ($94.5M Series D), IEX Group ($70M Series C), Digital Asset ($60M venture round / Series A), InVision ($55M Series D), Giphy ($55M Series C) or VTS ($55M Series C).

The Rise of Deep Tech in New York

Finally, one trend I’m personally particularly excited about: the emergence of deep tech startups in New York.   By “deep tech”, I mean startups focusing on solving hard technical problems, either in infrastructure or applications – the type of companies where virtually every early employee is an engineer (or a data scientist).

For a long time, MongoDB was pretty much the lone deep tech startup in NYC.  There are many more now.  A few of those are in my portfolio at FirstMark:  ActionIQ, Cockroach Labs, HyperScience and x.ai.   But there’s a lot of others, big and small, including for example: 1010Data (Advance), BetterCloud, Blockstack Labs, Chainalysis, Clarifai, Datadog, Dataminr, Dextro, Digital Ocean, Enigma, Geometric Intelligence, Jethro, Keybase, Placemeter, Security ScoreCard, SiSense, Syncsort or YHat – and a few others.

The New York data and AI community, in particular, keeps getting stronger.  Facebook’s AI department is anchored in New York by Yann LeCun, one of the fathers of deep learning.  IBM Watson’s global headquarter is in NYC. When Slack decided to ramp up its effort in data, it hired NYC-based Noah Weiss, former VP of Product at Foursquare, to head its Search Learning and Intelligence Group.   NYU has a strong Center for Data Science (also started by LeCun).  Ron Brachman, the new director of the Technion-Cornell Insititute, is an internationally recognized authority on artificial intelligence.  Columbia has a Data Science Institute. NYC has many data startups, prominent data scientists and great communities (such as our very own Data Driven NYC!).

Conclusion

Hype often precedes the reality of any market.  This was very much the case for the New York tech ecosystem, but NYC is now growing into its reputation.

As an added bonus, the New York tech community continues to feel truly special.  Perhaps because NYC is still in the “underdog” phase, there’s a spirit of openness, collaboration and solidarity that is very palpable — almost ironic considering the reputation of New Yorkers!

At FirstMark, we feel proud to be part of this community, do our best to keep building it (through our four monthly events: Data Driven, Design Driven, Code Driven and Hardwired), and we are more bullish than ever about New York.

Ethereum Blockchain Hack Reversed

Friday, July 22nd, 2016

A hack that diverted millions of dollars of value from the Ethereum blockchain into a false account is being fixed by a “hard fork,” forcing the return of the funds to a replacement ‘recovery contract’ validated by users, (or “miners”), on the network. The theft and fix have raised questions about the security of a technology at the center of fintech innovation.

– Explained: What is the blockchain?

Ethereum has been hailed as a potential basis for “smart contracts,” where valuable information or documents can be exchanged automatically with full security. It can also form the basis of “decentralized autonomous organizations,” or DAOs: a set of rules that could theoretically act in the same way as a company. The hack was carried out through a malicious DAO.

Commentators on Ethereum have expressed some concern that making a hard fork would do damage to the blockchain’s reputation as being unchangeable. Some even argued the hacker should keep the money. Meanwhile, banks that are experimenting with the blockchain are watching very closely, although with “interest, rather than fear”, according to CoinDesk.

The hard fork was executed through an informal vote among members of the Ethereum community, which shows how the transparency and communal nature of blockchain transactions might be more important than the now-questionable claims that blockchains are immutable.

In any case, given that blockchain adoption is still in the experimental stage for most financial institutions, incidents that led to the hard fork allow for a better understanding of blockchain vulnerabilities.

There’s some precedent for a technical protocol going awry in the early days. The protocols around e-mail, SMTP, proved open to abuse and spam when use became popular, though upgraded authentication and greylisting are fixing the issues.

Such situations are needed to address weaknesses, the only way to create more confidence. Ethereum and the blockchain concept may have needed this hack to happen right now in order for the product to mature.

Developer POV

 

Artificial Intelligence Funding Latest Silicon Valley Gold Rush

Tuesday, July 19th, 2016

Silicon Valley will be producing fewer “like” buttons following a funding shift away from social media to deep learning and artificial intelligence.

VCs’ interest in deep learning is surging. CB Insights predicts that funding of AI-enabled startups will reach $1.2 billion in 2016, compared with only $145 million in 2011, when social media startup funding peaked at $2.4 billion. This year so far, the figure stands at $6.9 million.

John Shoch, a VC at Alloy Ventures in Palo Alto, told the New York Times that new approaches in the space, such as those from Facebook head of AI Yann LeCun, have led to more investors rushing to fund the AI space: “You get a new set of tools that let you attack a new set of problems, which let you push the boundary out.”

Silicon Valley could have an opportunity to solve physical problems, instead of concentrating on social media-based apps like food delivery or dating that support “assisted living for millennials,” as Recode editor Kara Swisher alleges. Industries where new AI-enabled startups are working include radiology diagnostics, from Enlitic, and enterprise intelligence, from MetaMind, recently acquired by SalesForce.

An artificial intelligence research centre, OpenAI, was funded in December 2015 with the aim of focusing on a positive human impact, backed with $1 billion of funding. The organization’s mission is to extend “individual human wills and, in the spirit of liberty, [make AI] broadly and evenly distributed as possible.”

Still, the transition to AI in the startup space needs more depth in terms of resources.

Jana Eggers, NaraLogics, at StartupFest

Jana Eggers (above), CEO of AI-based personalized recommendation startup NaraLogics, says, for example, that there is still lack of diversity in the deep learning space. She told StartupFest Montreal that if only rich white males are programming AI, the technology can’t reach its full potential.

“We need people like you, and we need people not like you,” she told the audience.

Developer Hotfix

Pokémon Go Social Media Conversation Surges

Tuesday, July 12th, 2016

The size of the Twitter conversation around Niantic’s Pokémon Go reflects the real-life activity playing out in public spaces across the US, Australia, and New Zealand, where players are feverishly trying to capture squirtles and pikachus.

In the aftermath of shocking racial violence and an against-the-odds UEFA win for Portugal, Pokémon Go has pulled ahead of these topics (as of July 11), notching up over 3.5 million mentions since the game was released on July 6.

TechPortfolio_Pokemon Volume per day

The runaway success of Pokémon Go shows how effective mobile together with AR can be for brands trying to boost user engagement.

Companies of all kinds have pledged “mobile-first” strategies, but few execute them well. Nor do they often pair the strategy with a UX that makes an app “everything right now.”

But, it’s not just mobile and AR that allowed such fast popularity.

Pokémon Go also leverages a data pool collected through an earlier AR game by Niantic, a company spun off from Google’s parent Alphabet. Niantic’s Ingress “formed a beginning pool of portal locations for the game based on historical markers, as well as a data set of public artwork mined from geo-tagged photos on Google,” according to Mashable.

If developers can learn anything from Niantic’s success, it’s the value of a long-term strategy that leverages robust data to power an immersive experience.

 

Brexit May Mean New European Bases For Fintech

Tuesday, July 12th, 2016

Where banks live, fintech grows, and London’s reputation as a global financial center is under threat following Brexit. Banks, funds, and government have banded together – explicitly mentioning fintech – and promised to protect the city’s reputation.

But questions remain over bank passporting, which allows UK-based banks entry to trade throughout the EU. Access to labor also remains uncertain; in fact, EU citizens’ post-Brexit status has become a political soccer ball.

So if not London, where should fintech startups look? Berlin has emerged as an early contender for the continent’s fintech centre. According to the FT, there is already an exciting fintech scene in the German capital. Two London-based fintech startups, TransferWise and Revolut, are on record as considering a move to Berlin.

Meanwhile, one German political party has mustered a billboard van and sent it roaming the British capital’s streets looking for first movers.

William McQuillan, partner at Frontline Ventures, says he doubts London will lose its central financial crown any time soon. “London still is a global city with a large consumer population, and many global companies are HQ’d there,” he said in an interview with TechPORTFOLIO.

There are top class universities, most of the startup accelerators in Europe, as well as a healthy angel investing environment. “All other cities in Europe are still building up those qualities and most will never have all of them.”

It’s more likely that many other European cities would collectively drain part of London’s power.

Dublin may be a better contender than Berlin in this regard, he says. “It would be the only English speaking country in both the EU and EuroZone, and 250 of the world’s leading financial firms – including half of the world’s top 50 banks – have internationally focused operations in Ireland.”

PayPal and Stripe are two major fintech companies already established in the Irish capital, and €1.8 trillion of funds are administered by organizations there.

If there’s one positive thing in fintech that Brexit may have caused, it was the surge in Bitcoin as a safe haven following GBP’s fall to a 30-year-low. The weak pound could also encourage foreign buyers and investors, according to the Telegraph.

The only certainty is that no one knows how much Brexit has damaged London’s status as a fintech center until the political turmoil resolves itself and decisions are finalized.

McQuillan says: “The longer the uncertainty lasts the worse the reputational damage for a city like London will be.”

What Is Fintech? The Definitive Fintech Glossary

Wednesday, July 6th, 2016

From cryptocurrency to DAO to robo-advisors, fintech is adding new words to the evolving business vocabulary as the industry continues to grow.

As the lexicon expands, here are some key fintech terms you need to know:

Blockchain: A digital ledger of transactions shared across a distributed network. Data on the blockchain is theoretically impossible to change or remove, making it a candidate for a shared secure global infrastructure. It is the technology that underpins Bitcoin.

Bitcoin: A form of encrypted digital currency. Created in 2009 under the pseudonym ‘Satoshi Nakamoto’, Bitcoin is made, stored, exchanged, and transferred digitally without the need for a bank. According to CNN, “though each bitcoin transaction is recorded in a public log, names of buyers and sellers are never revealed – only their wallet IDs” – ensuring anonymity.

Cryptocurrency: An encrypted digital or virtual currency such as Bitcoin. Investopedia notes that because it is not issued or distributed by a central authority, it is “theoretically immune to government interference or manipulation.”

Crowdfunding: Funding a venture through raising small amounts of money from a large group of people, as opposed to seeking funds from a venture capitalist, angel investor, or corporate sponsor. Individuals can provide funds as donations or in exchange for a product or service. Kickstarter and Indiegogo are popular crowdfunding platforms.

DAO: A Decentralized Autonomous Organization (DAO) is akin to a digital organization “formed by groups of like-minded individuals with specific projects and goals in mind.” Its “software operates autonomously” and its by-laws are coded into the Ethereum blockchain, making them irrefutable.

Ethereum: Ethereum is a decentralized, public blockchain platform that ‘runs smart contracts’: peer-to-peer contracts that use cryptocurrency. By leveraging the blockchain, contracts are not subject to “downtime, censorship, fraud or third party interference.”

Fintech: A short form for ‘financial technology’. According to Fintech Weekly, it is “a line of business based on using software to provide financial services. Financial technology companies are generally startups founded with the purpose of disrupting incumbent financial systems and corporations that rely less on software such as banks.”

Mobile Payment: Also known as “mobile money, mobile money transfer, and mobile wallet,” mobile payment refers to “payment services operated under financial regulation and performed from or via a mobile device.” Most major financial institutions facilitate some form of mobile payments including e-transfers and credit card payments.

P2P Lending: Short for Peer-to-Peer Lending, it refers to lending and borrowing transactions that occur directly between individuals, and do not require facilitation or approval from a financial intermediary such as a bank. Examples include Lending Club and Lending Loop.

Payment Gateway: According to Webopedia, a Payment Gateway is a “service that automates the payment transaction between the shopper and merchant. It is usually a third-party service…that process, verify, and accept or decline credit card transactions on behalf of the merchant through secure Internet connections.” Prominent examples include PayPal and Moneris.

Robo-advisor: A robo-advisor is an online, automated advisor that provides financial advice or portfolio management, providing answers based on data and algorithms. Examples include Betterment and WealthSimple.

Africa Pushing Mobile Banking Into Fintech Conversation on Twitter

Tuesday, July 5th, 2016

If the blockchain ends up dominating the financial services sector as much as it’s dominating on Twitter, banks are in trouble.

Looking at the global fintech conversation on Twitter, blockchain — a technology that has the potential to destroy banking as we know it — leads the way, even ahead of bitcoin. But there’s another fintech trend creeping into the conversation that might be getting lost in all the noise: mobile banking.

Blockchain Twitter word cloud

Though the topic shows up in our global analysis on Twitter, it’s especially popular in Africa, where mobile banking is the norm.

According to data from the World Bank’s Global Financial Inclusion Database, mobile banking is most popular in Botswana, where nearly half of residents with a financial account have reported making a mobile banking transaction.

Mobile banking use is only likely to grow. Sub-Saharan Africa will add more than 400 million new smartphone connections by 2020, according to GSMA Intelligence.

Ripe for disruption

What does this mean for mainstream financial services in Africa? Be afraid. More than one-third of revenue could be at risk, according to Accenture.

San Francisco-based startup @branch_co, for example, raised $9.2 million to bring digital financial services to mobile phone users in Sub-Saharan Africa.

Founder and CEO @mattflannery told TechCrunch that Branch’s free-to-download app is a “branchless bank for the next generation.

“…I’m building this with the intention that it will serve everyone much the way that Twitter started out as a thing that people used at South by Southwest, but ended up playing a big role in the Arab Spring,” he said.

Blockchain may be hogging the headlines, but mobile banking has enormous potential to impact lives in Africa.

Startups Must Pursue Partnerships within Finance and Work from Inside

Monday, July 4th, 2016

Fintech story gauge NO compressed
Q: Will fintech overturn financial institutions and regulations?

ANSWER: NO

To stage a revolution in the banking industry, fintechs can’t go it alone.

These startups depend on existing structures and regulations to gain market access. That means fintech founders must mix their entrepreneurial drive with an ability to work within the rules. Only some are able to walk that tightrope, which often require a reliable relationship with established banks and other financial institutions to strike the right balance.

Founders starting out in fintech need to know that they’re entering an established market, and adjust their attitude, experts say.

“Fintech is really hard and the hubris I see in entrepreneurs and investors entering the space makes me worry that people have no idea what they’re getting into,” entrepreneur Savneet Singh wrote in a recent post on Medium.

Singh says fintech is hard to scale internationally and doesn’t respond to “regular” methods of growth hacking.

“It’s really hard to convince a random person to hand over their bank info, DOB [date of birth] and personal info. No matter how great the product is, that’s still a tough sell,” he says.

Banks are already leveraging their customer’s trust and data in creating new products to compete with fintechs. For instance, BMO’s SmartFolio, a digital advisor product, is fully integrated with its online banking system, an advantage that new startups can’t offer.

Even established startups are finding financial markets, and their regulations, to be challenging. Square is losing money according to its first quarterly report in March. And online processing service Dwolla was fined $100,000 for running afoul of data security regulations.

Given these issues, what does a fintech startup need to succeed?

Danish Yusuf, founder of Zensurance, a startup that offers pay-as-you-go insurance aimed at small businesses, says partnerships within existing structures is the way forward.

“Fintech is different from some other industries given the massive regulatory challenges,” says Yusuf. “Also, fintech startups love to claim that they are fighting the system and going against the existing powers. It makes for a great raison d’être.”

As a startup, find a quiet niche that doesn’t depend on existing financial infrastructure for customers, or find a way to work within the rules, not overturn them. Standing alone means you go nowhere – which is why so many startups partner with existing institutions.

See also

Will Fintech Force The Banks To Change?
Will Blockchain Revolutionize The World of Financial Contracts?