Round sizes are up. Valuations are up. There are more investors than ever hunting unicorns around the globe. But for all the talk about the abundance of venture funding, there is a lot less being said about what it all means for entrepreneurs raising their early funding rounds.

Take for instance Seed-stage dilution. Since 2014, enterprise-focused tech companies have given up significantly more ownership during Seed rounds. What gives?

Scale is an investor in early-in-revenue enterprise technology companies, so we wanted to better understand how this trend in Seed-stage dilution impacts companies raising Series A and Series B rounds.

Using our Scale Studio dataset of performance metrics on nearly 800 cloud and SaaS companies as well as Pitchbook fundraising records covering B2B software startups, we started connecting the dots between trends in valuations, round sizes, and winner-take-all markets.

Bottom line for founders: Don’t let all the capital in venture mislead you. There’s an important connection between higher Seed-stage dilution and increased investor expectations during Series A and Series B rounds.

These days, successful startups are growing up faster than ever.

Founders face an important trade-off decision

Source: Tech Crunch Startups | What seed-stage dilution tells us about changing investor expectations

At first glance launching a new social app may seem as sensible a startup idea as plunging headfirst into shark-infested waters. But with even infamous curtain-ripper Facebook now making grand claims about a ‘pivot to privacy’ it’s clear something is shifting in the commercial shipping channels that contain our digital chatter.

Whisper it: Feeds are tiring. Follows are tedious. Attention is expiring. There’s also, of course, the damage that personal digital baggage left out in the open can wreak long after the fact of a blown fuse or fleeting snap.

Public feeds have become vehicles of self-promotion; carefully and heavily curated — which of course brings its own peer pressures to keep up with friends’ lux exploits and the influencer ‘gram aesthetic that pretends life looks like a magazine spread.

Yet for a brief time, in the gritty early years of social media, there was something akin to spontaneous, confessional reality on show online. People do like to share. That’s mostly been swapped for the polish of aspirational faking it on apps like Facebook-owned Instagram. While genuine friend chatter has moved behind the quasi-closed doors of group messaging apps, like Facebook-owned WhatsApp (or rival Telegram).

If you want to chat more freely online without being defined by your existing social graph the options are less mainstream friendly to say the least.

Twitter is genuinely great if you’re willing to put in the time and effort to find interesting strangers. But its user growth problem shows most consumers just aren’t willing (or able) to do that. Telegram groups also require time and effort to track down.

Also relevant in interest-based chat: Veteran forum Reddit, and game chat platform Discord — both pretty popular, though not in a way that really cuts across the mainstream, tending to cater to more niche and/or focused interests. Neither is designed for mobile first either.

This is why Capture’s founders are convinced there’s a timely opportunity for a new social app to slot in — one which leverages smartphone sensors and AI smarts to make chatting about anything as easy as pointing a camera to take a shot.

They’re not new to the social app game, either. As we reported last year, two of Capture’s founders were part of the team behind the style transfer app Prisma, which racked up tens of millions of downloads over a few viral months of 2016.

And with such a bright feather in their cap, a number of investors — led by General Catalyst — were unsurprisingly eager to chip into Capture’s $1M seed, setting them on the road to today’s launch.

Point and chat

“The main idea behind the app is during the day you’ve got different experiences — working, watching some TV series etc, you’re sitting in an arena watching some sports, or something like that. So we imagine that you should open the app during any type of experience you have during the day,” says Capture co-founder and CEO Alexey Moiseenkov fleshing out the overarching vision for the app.

“It’s not for your friends; it’s the moment when you should share something or just ask something or discuss something with other people. Like news, for example… I want to discuss news with the people who are relevant, who want to discuss it. And so on and on. So I imagine it is about small groups with the same goal, discussing the same experience, or something like that. It’s all about your everyday life.”

“Basically you can imagine our app as like real-time forum,” he adds. “Real-time social things like Reddit. So it’s more about live discussion, not postponing something.”

Chat(room) recommendations are based on contextual inferences that Capture can glean from the mobile hardware. Namely where you are (so the app needs access to your location) and even whether you’re on the move or lounging around (it also accesses the accelerometer so can tell the angle of the phone).

The primary sensory input comes from the camera of course. So like Snap it’s a camera-first app, opening straight into the rear lens’ live view.

By default chats in Capture are public so it also knows what topics users are discussing — which in turn further feeds and hones its recommendations for chats (and indeed matching users).

Co-founder and CMO Aram Hardy (also formerly at Prisma) gives the example of the free-flowing discussion you can see unrolling in YouTube comments when a movie trailer gets its first release — as the sort of energetic, expressive discussion Capture wants to channel inside its app.

“It’s exploding,” he says. “People are throwing those comments, discussing it on YouTube, on web, and that’s a real pain because there is no tool where you can simply discuss it with people, maybe with people around you, who are just interested in this particular trailer live on a mobile device — that’s a real pain.”

“Everything which is happening around the person should be taken into consideration to be suggested in Capture — that’s our simple vision,” he adds.

Everything will mean pop culture, news, local events and interest-based communities.

Though some of the relevant sources of pop/events content aren’t yet live in the app. But the plan is to keep bulking out the suggestive mix to expand what can be discovered via chat suggestions. (There’s also a discovery tab to surface public chats.)

Hardy even envisages Capture being able to point users to an unfolding accident in their area — which could generate a spontaneous need for locals or passers by to share information.

The aim for the app — which is launching on iOS today (Android will come later; maybe by fall) — is to provide an ever ready, almost no-barrier-to-entry chat channel that offers mobile users no-strings-attached socializing free from the pressures (and limits) of existing social graphs/friend networks; as well as being a context-savvy aid for content and event discovery, which means helping people dive into relevant discussion communities based on shared interests and/or proximity.

Of course location-based chatting is hardly a new idea. (And messaging giant Telegram just added a location-based chats feature to its platform.)

But the team’s premise is that mobile users are now looking for smart ways to supplement their social graph — and it’s betting on a savvy interface unlocking and (re)channelling underserved demand.

“People are really tired of something really follower based,” argues Moiseenkov. “All this stuff with a following, liking and so on. I feel there is a huge opportunity for all the companies around the world to make something based on real-time communication. It’s more like you will be heard in this chat so you can’t miss a thing. And I think that’s a powerful shot.

“We want to create a smaller room for every community in the Internet… So you can always join any group and just start talking in a free way. So you never shared your real identity — or it’s under your control. You can share or not, it’s up to you. And I think we need that.

“It’s what we miss during this Facebook age where everybody is ‘real’. Imagine that it’s like a game. In a game you’re really free — you can express yourself what way you want. I think that’s a great idea.”

“The entry threshold [for Twitter] is enormous,” adds Hardy. “You can’t have an account on Twitter and get famous within a week if you’re not an influencer. If you’re a simple person who wants to discuss something it’s impossible. But you can just create a chat or enter any chat within Capture and instantly be heard.

“You can create a chat manually. We have an add button — you can add any chat. It will be automatically recognized and suggested to other users who are interested in these sort of things. So we want every user to be heard within Capture.”

How it works

Capture’s AI-powered chatroom recommendations are designed to work as an onboarding engine for meeting relevant strangers online — using neural networks and machine learning to do the legwork of surfacing relevant people and chats.

Here’s how the mobile app works: Open the app, point the camera at something you view as a conversational jumping off point — and watch as it processes the data using computer vision technology to figure out what you’re looking at and recommend related chats for you to join.

For example, you might point the camera around your front room and be suggested a chatroom for ‘interior design trends and ideas’ , or at a pot plant and get ‘gardeners’ chat, or at your cat and get ‘pet chat’ or ‘funny pets’.

Point the camera at yourself and you might see suggestions like ‘Meet new friends’, ‘Hot or not?’, ‘Dating’, ‘Beautiful people’ — or be nudged to start a ‘Selfie chat’, which is where the app will randomly connect you with another Capture user for a one-to-one private chat.

Chat suggestions are based on an individual user’s inferred interests and local context (pulled via the phone) and also on matching users across the app based on respective usage of the app.

At the same time the user data being gathered is not used to pervasively profile uses, as is the case with ad-supported social networks. Rather Capture’s founders say personal data pulled from the phone — such as location — is only retained for a short time and used to power the next set of recommendations.

Capture users are also not required to provide any personal data (beyond creating a nickname) to start chatting. If they want to use Capture’s web platform they can provide an email to link their app and web accounts — but again that email address does not have to include anything linked to their real identity.

“The key tech we want to develop is a machine learning system that can suggest you the most relevant stuff and topics for you right now — based on data we have from your phone,” continues Moiseenkov. “This is like a magical moment. We do not know who you are — but we can suggest something relevant.

“This is like a smart system because we’ve got some half graph of connection between people. It’s not like the entire graph like your friends and family but it’s a graph on what chat you are in, so where are you discussing something. So we know this connection between people [based on the chats you’re participating in]… so we can use this information.

“Imagine this is somehow sort of a graph. That’s a really key part of our system. We know these intersections, we know the queries, and the intersection of queries from different people. And that’s the key here — the key machine learning system then want to match this between people and interests, between people and topics, and so on.

“On top of that we’ve got recognition stuff for images — like six or seven neural networks that are working to recognize the stuff, what are you seeing, how, what position and so on. We’ve got some quite slick computer vision filters that can do some magic and do not miss.

“Basically we want to perform like Google in terms of query we’ve got — it’s really big system, lots of tabs — to suggest relevant chats.”

Image recognition processing is all done locally on the user’s device so Capture is not accessing any actual image data from the camera view — just mathematical models of what the AI believes it’s seen (and again they claim they don’t hold that data for long).

“Mostly the real-time stuff comes from machine learning, analyzing the data we have from your phone — everybody has location. We do not store this location… we never store your data for a long time. We’re trying to move into more private world where we do not know who you are,” says Moiseenkov.

“When you log into our app you just enter the nickname. It’s not about your phone number, it’s not about your social networks. We sometimes — when you just want to log in from other device — we ask you an email. But that’s all. Email and nickname it’s nothing. We do not know nothing about you. About your person, like where you work, who’s your friends, so on and so on. We do not know anything.

“I think that’s the true way for now. That’s why gaming is so fast in terms of growing. People just really want to share, really want to log in and sign up [in a way] that’s easy. And there is no real barriers for that — I think that’s what we want to explore more.”

Chatroulette

Having tested Capture’s app prior to launch I can report that the first wave chat suggestions are pretty rudimentary and/or random.

Plus its image recognition often misfires (for instance my cat was identified as, among other things, a dog, hamster, mouse and even a polar bear (!) — as well as a cat — so clearly the AI’s eye isn’t flawless, and variable environmental conditions around the user can produce some odd and funny results).

The promise from the founders is that recommendations will get better as the app ingests more data and the AI (and indeed Capture staff performing manual curation of chat suggestions) get a better handle on what people are clicking on and therefore wanting to talk with other users about.

They also say they’re intending to make better linkage leaps in chat suggestions — so rather than being offered a chatroom called ‘Pen’ (as I was),  if you point the Capture camera at a pen, the app might instead nudge you towards more interesting-sounding chats — like ‘office talk’ or ‘writing room’ and so on.

Equally, if a bunch of users point their Capture cameras at the same pen the app might in future be smart enough to infer that they all want to join the same chatroom — and suggest creating a private group chat just for them.

On that front you could imagine members of the same club, say, being able to hop into the same discussion channel — summoning it by scanning a mutual object or design they all own or have access to. And you could also imagine people being delighted by a scanner-based interface linked to custom stuff in their vicinity — as a lower friction entry point vs typing in their directions. (Though — to be clear — the app isn’t hitting those levels of savvy right now.)

“Internally we imagine that we’re like Google but without direct query typing,” Moiseenkov tells TechCrunch. “So basically you do the query — like scanning the world around you. Like you are in some location, like some venue, imagine all this data is like a query — so then step by step we know what people are clicking, then improving the results and this step by step, month by month, so after three month or four month we will be better. So we know what people are clicking, we know what people are discussing and that’s it.”

“It’s tricky stuff,” he adds. “It’s really really hard. So we need lots of machine learning, we need lots of like our hands working on this moderating stuff, replacing some stuff, renaming, suggest different things. But I think that’s the way — that’s the way for onboarding people.

“So when people will know that they will open the app in the arena and they will receive the right results the most relevant stuff for this arena — for the concert, for the match, or something like that, it will be the game. That’s what we want to achieve. So every time during the day you open the app you receive relevant community to join. That’s the key.”

Right now the founders say they’re experimenting with various chat forms and features so they can figure out how people want to use the app and ensure they adapt to meet demand.

Hence, for example, the chatroulette-style random ‘selfie chat’ feature. Which does what it says on the tin — connecting you to another random user for a one-to-one chat. (If selfie chats do end up getting struck out of the app I hope they’ll find somewhere else to house the cute slide-puzzle animation that’s displayed as the algorithms crunch data to connect you to a serendipitous interlocutor.)

They’re also not yet decided on whether public chat content in Capture will persist indefinitely — thereby potentially creating ongoing, topics-based resources — or be ephemeral by default, with a rolling delete which kicks in after a set time to wipe the chat slate clean.

“We actually do not know what will be in the next one to three months. We need to figure out — will it be consistent or ephemeral,” admits Moiseenkov. “We need to figure out certain areas, like usage patterns. We should watch how people behave in our app and then decide what will be the feed.”

Capture does support private group chats as well as public channels — so there’s certainly overlap with the messaging platform Telegram, which also supports both. Though one nuance between them is Capture Channels let everyone comment but only admins post vs Telegram channels being a pure one-way broadcast.

But it’s on interface and user experience where Capture’s approach really diverges from the more standard mobile messaging playbook.

If you imagine it as a mash-up of existing social apps Capture could be thought of as something like a Snap-style front end atop a Telegram-esque body yet altogether sleeker, with none of the usual social baggage and clutter. (Some of that may creep in of course, if users demand it, and they do have a reactions style feature linked up to add in so… )

“With our tool you can find people not from your graph,” says Moiseenkov. “That’s the key here. So with WhatsApp it’s really hard to invite people not from your graph — or like friends of friends. And that’s a really tough question — where I can find the relevant people whom I chat about football? So now we add the tool for you in our app to just find these people and invite them to your [chat].”

“It’s really really hard not to like your friend’s post on Instagram because it’s social capital,” he adds. “You are always liking these posts. And we are not in this space. We do not want to move in this direction of followers, likers, and all this stuff — scrolling and endless communication.

“Time is changing, my life is changing, my friends and family somehow is changing because life is changing… We’re mobile like your everyday life… the app is suggesting you something relevant for this life [now]. And you can just find people also doing the same things, studying, discussing the same things.”

Community building

Why include private chats at all in Capture? Given the main premise (and promise) of the app is its ability to combine strangers with similar interests in the same virtual spaces — thereby expanding interest communities and helping mobile users escape the bubbles of closed chat groups.

On that Moiseenkov says they envisage communities will still want to be able to create their own closed groups — to maintain “a persistent, consistent community”.

So Capture has been designed to contain backchannels as well as open multiple windows into worlds anyone can join. “It’s one of opportunities to make this and I think that we should add it because we do not know exact scenarios right from the launch,” he says of including private conduits alongside public chats.

Given the multiple chat channels in the first release Capture does risk being a bit confusing. And during our interview the founders joke about having created a “maximal viable product” rather than the usual MVP.

But they say they’re also armed to be able to respond quickly to usage patterns — with bits and pieces lined up in the background so they can move quickly to add/remove features based on the usage feedback they get. So, basically, watch this space.

All the feature creep and experimentation has delayed their launch a little though. The app had been slated to arrive in Q4 last year. Albeit, a later-than-expected launch is hardly an unusual story for a startup.

Capture also of course suffers from a lack of users for people to chat to at the point of release — aka, the classic network effect problem (which also makes testing it prior to launch pretty tricky; safe to say, it was a very minimalist messaging experience).

Not having many users also means Capture’s chat suggestions aren’t as intelligent and savvy as the founders imply they’ll be.

So again the MVP will need some time to mature before it’s safe to pass judgement on the underlying idea. It does feel a bit laggy right now — and chat suggestions definitely hit and miss but it will be interesting to see how that evolves as/if users pile in.

Part of their plan is to encourage and nurture movie/TV/entertainment discussion communities specifically — with Hardy arguing there’s “no such tool” that easily supports that. So in future they want Capture users to be notified about new series coming up on Netflix, or Disney’s latest release. Then, as users watch that third party content, their idea is they’ll be encouraged to discuss it live on their mobiles via Capture.

But movie content is only partially launched at this stage. So again that’s all just a nice idea at this stage.

Testing pre-launch on various celebrity visages also drew a suggestive blank — and Hardy confirmed they’ve got more pop culture adds planned for the future.

Such gaps will likely translate into a low stickiness rate at first. But when the team’s ambition is to support a Google-esque level of content queries the scale of the routing and pattern matching task ahead of them is really both massive and unending.

To get usage off the ground they’re aiming to break the content recommendation problem down into more bite-size chunks — starting by seeding links to local events and news (sourced from parsing the public Internet); and also by focusing on serving specific communities (say around sports), and also linked to particular locations, such as cities — the latter two areas likely informed by in what and where the app gets traction.

They’ve also hired a content manager to help with content recommendations. This person is also in charge of “banning some bad things and all that stuff”, as they put it. (From the get go they’re running a filter to ban nudity; and don’t yet support video uploads/streams to reduce their moderation risk. Clearly they will need to be very ‘on it’ to avoid problem usage mushrooming into view and discouraging positive interactions and community growth within the app. But again they say they’re drawing on their Prisma experience.)

They also say they want this social app to be more a slow burn on the growth front — having seen the flip side of burn out viral success at Prisma — which, soon after flooding the social web with painterly selfies, had to watch as tech giants ruthlessly cloned the style transfer effect, reducing their novelty factor and pushing users to move on to their next selfie lens fix.

“As data-driven guys we’re mostly looking for some numbers,” says Moiseenkov when asked where they hope to be with Capture in 12 months’ time. “So I think achieving something like 1M or 2M MAU with a good retention and engagement loop by then is our goal.

“We want to keep this growth under control. So we could release the features step by step, more about engagement not more about viral growth. So our focus is doing something that can keep engagement loop, that can increase our spend time in the app, increase the usage and so on, not driving this into the peak and like acquiring all the trends.”

“Conclusions are drawn from Prisma!” adds Hardy with investor-winning levels of chutzpah.

While it’s of course super early to talk business model, the question is a valid one given Capture’s claims of zero user profiling. Free apps backed by VC will need to monetize the hoped for scale and usage at some point. So how does Capture plan to do that?

The founders say they envisage the app acting as a distribution tool. And for that use case their knowing (only) the timing, location and subject of chats is plenty enough data to carry out contextual targeting of whatever stuff they can get paid to distribute to their users.  

They are also toying with models in a Patreon style — such as users being able to donate to content authors who are in turn distributing stuff to them via Capture. But again plans aren’t fully formed at this nascent stage.

“Our focus right now is more like going into partnerships with different companies that have lots of content and lots of events going on,” says Hardy. “We also are going to ask for permission to get access to music apps like Spotify or Apple Music to be aware of those artists and songs a person is interested in and is listening to. So this will give us an opportunity to suggest relevant new albums, maybe music events, concerts and so on and so forth.

“For example if a band is coming to your city and we know we have access to Apple Music we know you’re listening to it we’ll suggest a concert — we’ll say ‘hey maybe you can win a free ticket’ if we can partner… with someone, so yeah we’re moving into this in the near future I think.”

Source: Tech Crunch Startups | Social chat app Capture launches to take a shot at less viral success

Uber Air, the transportation company’s upcoming flying taxi service, needs vehicle partners in order to make it a reality. Karem Aircraft, which Uber partnered with last year, has just raised a $25 million Series A round for its new air taxi spin-off. The round was led by Korean industrial conglomerate Hanwha Systems.

“Karem’s technology for making safe, quiet, and efficient air taxi vehicles excites all of us,” Uber Elevate head Eric Allison said in a statement. “Hanwha’s Series A investment in Karem’s new air taxi entity accelerates efforts to bring the Butterfly to market, and we look forward to flying riders in places like Dallas, Los Angeles, and Melbourne in the near future.”

Uber is aiming to start testing these aircraft next year, and wants to commercially deploy Uber Air in Los Angeles, Calif., Dallas-Fort Worth/Frisco, Texas and Melbourne, Australia in 2023.

Karem’s new venture is designed to focus solely on electric vertical take-off and landing vehicles, specifically its Butterfly air taxi vehicle.

The Butterfly (rendered above) is a quad tiltrotor with four large rotors mounted on the wings and tail. The idea is to combine the vertical lift capability of a helicopter with the speed and range of a fixed-wing aircraft. The Butterfly is also designed to be more efficient as a result of its rotors with variable RPM.

“The new company will be able to focus exclusively on bringing Butterfly to market, leveraging Karem’s optimum speed rotor technology, Hanwha’s industrial scale, and Uber’s ridesharing network,” Ben Tigner, CEO of the new venture, said in a statement. “We look forward to the day when riders will be able to commute to work by flying above the traffic in one of our vehicles. Karem Aircraft will continue to serve the needs of its military customers; we are confident that each company is on a path for long-term success so that our technology can be applied in two distinct but important use cases.”

Source: Tech Crunch Startups | One of Uber’s flying taxi partners just raised a million Series A round

One of the most-discussed plot twists in recent advertising has been the pivot of Direct-to-Consumer (DTC) brands to linear TV. These data-driven, digital-first players are expanding well beyond Facebook and Instagram—and becoming serious players on the largest traditional medium in advertising.

A January 2019 Video Advertising Bureau study found that in 2018, 120 DTC brands collectively spent over $2 billion in TV ads—up from $1.1 B in 2016. 70 of those 2018 advertisers ran TV ads for the first time.

But while we know that they’re advertising on TV, what may be less discussed is whether they’re succeeding on television—and what strategies they use to achieve their success.

At EDO, we have a unique and differentiated ability to measure how DTC advertisers perform on TV by tracking incremental online searches above baseline in the minutes immediately following individual TV ad airings as viewers translate their interest in advertised brands and products directly into online engagement with them.

By measuring incremental search activity across 60 million national TV ad airings since 2015, we are able to effectively isolate the effects of TV ad placement and creative decisions that are most likely to cause online engagement.

We ran the numbers on DTCs as well as advertisers in various other categories to better understand how DTCs specifically are succeeding in TV ads—and what DTCs who are considering TV advertising can do to achieve success on TV.

Table of Contents

• Does the David vs Goliath story play out on TV?
• Is there a newcomer advantage on TV?
• How does the DTC marketing playbook translate to TV? (A brief history and how-to, plus a Casper mini-case study)
• Conclusion: 3 keys to DTC TV success

Does the David vs. Goliath story play out on TV?

The DTC revolution is a quintessential David and Goliath story. In vertical after vertical, small, digital-native upstarts are changing the game and overtaking major brands. Does that story play out on TV as well—or is TV advertising one area where DTC marketers have finally met their match?

To answer that question, EDO looked at how effectively TV ads elicited viewer activity since September 2018 across eight major industry categories including DTC. Guided by historical ad performance across billions of ads, we rated ad performance based on how closely the DTC ads came to meeting the benchmark volume of brand-related online activity in the minutes following each TV ad airing.

We index each industry accordingly—giving an index value of 100 to an ad that meets benchmark standards, and below-par ads getting a score under 100 while higher-scoring ads receive a score over 100. We chose to set our index baseline of 100 to the average Consumer Packaged Good (CPG) ad since it is such a large and broad ad category. Our results are as follows:

Source: Tech Crunch Startups | What we can learn from DTC success with TV ads

Billie, the Berlin-based fintech startup that offers a B2B invoicing and payments platform, has raised €30 million in Series B funding. Leading the round is Creandum, alongside SpeedInvest, Rocket Internet’s GFC and Picus.

Founded in 2017 by the same team behind SME online lending platform Zencap, which exited to Funding Circle in 2015, Billie wants to bring to B2B invoicing and payments the same level of convenience seen in B2C payments and e-commerce.

Claiming to be Germany’s leading “one-stop shop” for handling all outgoing invoices of B2B sellers, including sending invoices, collecting payments and invoice financing, Billie’s customers range from SMEs, large e-commerce players and transnational marketplaces.

“As B2B transactions are more than twice the volume of B2C transactions, the potential to help our customers is enormous. And, up to now, this market is unserved,” Billie co-founder Dr. Matthias Knecht tells me.

“We’re able to place ourselves in the middle of B2B payments because B2B sellers often face long payment terms until getting paid, administrative burden to handle collections on unpaid invoices and severe economic risks from payment defaults. Meanwhile, B2B buyers often face rigid one-size-fits-all payment terms that are not tailored to the cash-cycle needs of their business. As a result, they revert to old-fashioned working capital loans to cover their liquidity needs.”

To fix this, Billie currently provides two core solutions.

The first is a checkout financing solution for B2B online stores, which embeds a financing option in the online checkout process. “It enables instant financing of the customer’s purchase directly at the online point-of-sale, and takes away all administrative hassle and default risk from the seller,” explains Knecht.

The second is SME invoice factoring, which the Billie co-founder describes as a fully automated platform that handles all outgoing invoices of SMEs.

“Small and medium-sized businesses can handle all their outgoing invoices through our platform, get instant financing for each invoice (i.e. they do not need to wait 90 days to get paid by their customers), and also outsource the collections process as well as coverage of default risk to Billie,” he says. “It’s an exciting, highly automated ‘piece of mind’ product that let’s SMEs focus on what they do best and have Billie handle the operational burden of invoice management and default coverage.”

With today’s injection of capital, Knecht says the startup plans to offer new solutions that are specifically targeted at the buyer side of B2B transactions by handling all processes around payables. This could include letting B2B buyers flexibly choose payment terms and reducing the bookkeeping hassle by acting as a single creditor.

“We will furthermore start rolling out our solutions across Europe at some point, as the need to turn B2B transactions into a frictionless experience exists across countries,” he adds.

Source: Tech Crunch Startups | Billie raises €30M for its B2B invoicing and payments platform