Index Ventures
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Dija, the London-based grocery delivery startup, is officially launching today and confirming that it raised £20 million in seed funding in December — a round that we first reported was partially closed the previous month.
Backing the company is Blossom Capital, Creandum and Index Ventures, with Dija seemingly able to raise pre-launch. In fact, there are already rumours swirling around London’s venture capital community that the upstart may be out raising again already — a figure up to £100 million was mooted by one source — as the race to become the early European leader in the burgeoning “dark” grocery store space heats up.
Image Credits: Dija
Over the last few months, a host of European startups have launched with the promise of delivering grocery and other convenience store items within 10-15 minutes of ordering. They do this by building out their own hyper-local, delivery-only fulfilment centres — so-called “dark stores” — and recruiting their own delivery personnel. This full-stack or vertical approach and the visibility it provides is then supposed to produce enough supply chain and logistics efficiency to make the unit economics work, although that part is far from proven.
Earlier this week, Berlin-based Flink announced that it had raised $52 million in seed financing in a mixture of equity and debt. The company didn’t break out the equity-debt split, though one source told me the equity component was roughly half and half.
Others in the space include Berlin’s Gorillas, London’s Jiffy and Weezy, and France’s Cajoo, all of which also claim to focus on fresh food and groceries. There’s also the likes of Zapp, which is still in stealth and more focused on a potentially higher-margin convenience store offering similar to U.S. unicorn goPuff. Related: goPuff itself is also looking to expand into Europe and is currently in talks to acquire or invest in the U.K.’s Fancy, which some have dubbed a mini goPuff.
However, let’s get back to Dija. Founded by Alberto Menolascina and Yusuf Saban, who both spent a number of years at Deliveroo in senior positions, the company has opened up shop in central London and promises to let you order groceries and other convenience products within 10 minutes. It has hubs in South Kensington, Fulham and Hackney, and says it plans to open 20 further hubs, covering central London and Zone 2, by the summer. Each hub carries around 2,000 products, claiming to be sold at “recommended retail prices”. A flat delivery fee of £1.99 is charged per order.
“The only competitors that we are focused on are the large supermarket chains who dominate a global $12 trillion industry,” Dija’s Menolascina tells me when I ask about competitors. “What really sets us apart from them, besides our speed and technology, is our team, who all have a background in growing and disrupting this industry, including myself and Yusuf, who built and scaled Deliveroo from the ground up”.
Menolascina was previously director of Corporate Strategy and Development at the takeout delivery behemoth and held several positions before that. He also co-founded Everli (formerly Supermercato24), the Instacart-styled grocery delivery company in Italy, and also worked at Just Eat. Saban is the former chief of staff to CEO at Deliveroo and also worked at investment bank Morgan Stanley.
During Dija’s soft-launch, Menolascina says that typical customers have been doing their weekly food shop using the app, and also fulfilling other needs, such as last-minute emergencies or late night cravings. “The pain points Dija is helping to solve are universal and we built Dija to be accessible to everyone,” he says. “It’s why we offer products at retail prices, available in 10 minutes — combining value and convenience. Already, Dija is becoming a key service for parents who are pressed for time working from home and homeschooling, as one example”.
Despite the millions of dollars being pumped into the space, a number of VCs I’ve spoken to privately are skeptical that fresh groceries with near instant delivery can be made to work. The thinking is that fresh food perishes, margins are lower and basket sizes won’t be large enough to cover the costs of delivery.
“This might be the case for other companies, but almost everyone at Dija comes from this industry and knows exactly what they are doing, from buying and merchandising to data and marketing,” Menolascina says, pushing back. “It’s also worth pointing out that we are a full-stack model, so we’re not sharing our margin with other parties. In terms of the average basket size, it varies depending on the customer’s need. On one hand, we have customers who do their entire grocery shop through Dija, while on the other hand, our customers depend on us for emergency purchases e.g. nappies, batteries etc.”
On pricing, he says that, like any retail business, Dija buys products at wholesale prices and sells them at recommended retail prices. “Going forward, we have a clear roadmap on how we generate additional revenue, including strategic partnerships, supply chain optimisation and technology enhancements,” adds Menolascina.
Image Credits: TechCrunch
Meanwhile, TechCrunch has learned that prior to launching its own app, Dija ran a number of experiments on takeout marketplace Deliveroo, including selling various convenience store items, such as potato chips and over-the-counter pharmaceuticals. If you’ve ever ordered toiletry products from “Baby & Me Pharmacy” or purchased chocolate sweets from “Valentine’s Vows,” you have likely and unknowingly shopped at Dija. Those brands, and a number of others, all delivered from the same address in South Kensington.
“Going direct to consumer without properly testing pick & pack is a big risk,” Menolascina told me in a WhatsApp message a few weeks ago, confirming the Deliveroo tests. “We created disposable virtual brands purely to learn what to sell and how to replenish, pick & pack, and deliver”.
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On the back of Zynga acquiring Turkey’s Peak Games for $1.8 billion last year and then following it up with another gaming acquisition in the country, Turkey has been making a name for itself as a hub for mobile gaming startups, and specifically those building casual puzzle games, the wildly popular and very sticky format that takes players through successive graphic challenges that test their logic, memory and ability to think under time pressure.
Today, one of the more promising of those startups, Istanbul-based, Peak alum-founded Dream Games, is announcing the GA launch of its first title, Royal Match (on both iOS and Android), along with $50 million in funding to double down on the opportunity ahead — the largest Series A raised by a startup in Turkey to date.
While Dream Games will focus for the moment on building out the audience for puzzle games with more innovative ideas, it also has its sights set on a bigger goal.
“We’re building this as an entertainment company,” CEO Soner Aydemir said in an interview, where he described Pixar as a key inspiration not just for size but for quality in its category. “What they did for animated movies, we want to do for mobile gaming. We are focusing on casual puzzle games first because everyone plays these, but we will also move forward with other genres. We want to be a huge interactive entertainment company that builds high-quality games.”
The Series A is being led by Index Ventures, with participation also from Balderton Capital and Makers Fund. The latter two backed Dream Games previously, in a $7.5 million seed round in 2019. Index, meanwhile, is a notable VC to have on board: Other successful gaming startups it has backed include Discord, King, Roblox and Supercell.
Interestingly, this is not Index’s first investment in a gaming startup founded by Peak Games alums: In December it led a $6 million round for another Istanbul mobile casual puzzle gaming startup founded by ex-Peak employees: Bigger Games.
Dream Games is not disclosing its valuation with this round.
Dream Games raising $57.5 million ahead of launching any games — or proving whether they get any traction — may sound like a risky bet, but there is some context to the story that sets up the odds in this startup’s favor.
The founding team all come from Peak Games, the Istanbul gaming startup that was so nice, Zynga bought it twice — first, in the form of one small acquisition of some specific titles, and then the whole company some years later.
CEO Soner Aydemir is Peak’s former director of product who built the company’s two biggest hits, Toy Blast and Toon Blast. Ikbal Namli and Hakan Saglam were Peak’s former engineering leads. And Peak product manager Eren Sengul and an ex-Peak 3D artist Serdar Yilmaz round out the rest of the founding team.
(Aydemir notes that the team left and formed Dream Games in 2019, about a year before Zynga’s full acquisition.)
The other indicators that Dream Games is on to something are its metrics for its limited test run of Royal Match.
Royal Match — in which players are tasked with helping King Robert restore his royal castle “to its former glory” by rebuilding it through a series of match-3 levels and obstacles, with new rooms, royal chambers and gardens making up the different levels of the game — was launched first as a limited test on iOS and Android in the U.K. and Canada in July leading up to this launch. In that time, Aydemir said it saw one million downloads and 200,000 daily average users.
“We think the numbers are very promising compared to previous experiences,” he said.
While Aydemir likes to describe Dream as an “entertainment” company, there is a lot of technology going into the product, from the graphics and the mechanics of the puzzles themselves through to the data science behind them.
“If you want to create an iconic game, you need to combine engineering, art and data science together with high-quality user acquisition and a strong marketing approach,” he said.
He believes that when you focus on these it will inevitably lead to quality, which means you no longer have to focus on simply trying to find a hit.
“We don’t like that approach,” he said. “We don’t want to find a hit.”
That was also the mix that Index also wanted to back.
“Building iconic titles requires a harmonious mix of craft, science and flawless execution,” said Index Ventures partner Stephane Kurgan, who led the round together with Index’s Sofia Dolfe. “The Dream Games team has perfected this mix over many years of working together, and has put it on full display in Royal Match. We could not be more excited to work with them in their journey to build the next global casual champion.”
While Dream Games’ long-term ambition is to build out interactive experiences around different audiences and genres, Aydemir said that casual games, and puzzles in particular, have proven to be a huge hit with consumers.
The strength of that trend has up to now meant that puzzle games generally have proven to have more staying power than other genres in mobile games, which have soared in popularity but also somewhat fizzled out.
“Every year we see the bigger market of users growing by 20%,” he said. “It will remain for decades.”
Interestingly, the focus on casual gaming startups in Turkey seems like a perfect storm of sorts. Undeniably, the proven success of Peak has brought in more punters, but it has also shown the way to developers: You can build a successful and global consumer tech startup out of Turkey, and perhaps puzzles — which focus on shapes — are especially good at transcending different language barriers. Alongside that, Aydemir pointed out that the country is strong on engineers and developers but slim on opportunities with bigger tech companies.
“Mobile gaming is a younger industry, so that presents an opportunity,” he said.
Updated to correct that Index is not an investor in Rovio, and that the limited test had 200,000, not 200, DAUs.
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Curtsy, a clothing resale app and competitor to recently IPO’d Poshmark, announced today it has raised $11 million in Series A funding for its startup focused on the Gen Z market. The app, which evolved out of an earlier effort for renting dresses, now allows women to list their clothes, shoes and accessories for resale, while also reducing many of the frictions involved with the typical resale process.
The new round was led by Index Ventures, and included participation from Y Combinator, prior investors FJ Labs and 1984 Ventures, and angel investor Josh Breinlinger (who left Jackson Square Ventures to start his own fund).
To date, Curtsy has raised $14.5 million, including over two prior rounds, which also included investors CRV, SV Angel, Kevin Durant, Priscilla Scala and other angels.
Like other online clothing resale businesses, Curtsy aims to address the needs of a younger generation of consumers who are looking for a more sustainable alternative when shopping for clothing. Instead of constantly buying new, many Gen Z consumers will rotate their wardrobes over time, often by leveraging resale apps.
Image Credits: Curtsy
However, the current process for listing your own clothes on resale apps can be time-consuming. A recent report by Wired, for example, detailed how many women were spinning their wheels engaging with Poshmark in the hopes of making money from their closets, to little avail. The Poshmark sellers complained they had to do more than just list, sell, package and ship their items — they also had to participate in the community in order to have their items discovered.
Curtsy has an entirely different take. It wants to make it easier and faster for casual sellers to list items by reducing the amount of work involved to sell. It also doesn’t matter how many followers a seller has, which makes its marketplace more welcoming to first-time sellers.
“The big gap in the market is really for casual sellers — people who are not interested in selling professionally,” explains Curtsy CEO David Oates. “In pretty much every other app that you’ve heard about, pro sellers really crowd out everyday women. Part of that is the friction of the whole process,” he says.
On Curtsy, the listing process is far more streamlined.
The app uses a combination of machine learning and human review to help the sellers merchandise their items, which increase their chances of selling. When sellers first list their item in the app, Curtsy will recommend a price, then fill in details like the brand, category, subcategory, shipping weight and the suggested selling price, using machine learning systems training on the previous items sold on its marketplace. Human review fixes any errors in that process.
Also before items are posted, Curtsy improves and crops the images, as well as fixes any other issues with the listing, and moderates listings for spam. This process helps to standardize the listings on the app across all sellers, giving everyone a fair shot at having their items discovered and purchased.
Another unique feature is how Curtsy caters to the Gen Z to young Millennial user base (ages 15-30), who are often without shipping supplies or even a printer for producing a shipping label.
Image Credit: Curtsy / Photo credit: Brooke Ray
First-time sellers receive a free starter kit with Curtsy-branded supplies for packaging their items at home, like poly mailers in multiple sizes. As they need more supplies, the cost of those is built into the selling flow, so you don’t have to explicitly pay for it — it’s just deducted from your earnings. Curtsy also helps sellers to schedule a free USPS pickup to save a trip to the post office, and it will even send sellers a shipping label, if need be.
“One of the things we realized quickly is Gen Z does not really have printers. So we actually have a label service and we’ll send you the label in the mail for free from centers across the country,” says Oates.
Later, when a buyer of an item purchased from Curtsy is ready to resell it, they can do so with one tap — they don’t have to photograph it and describe it again. This also speeds up the selling process.
Overall, the use of technology, outsourced teams who improve listings and extra features like supplies and labels can be expensive. But Curtsy believes the end result is that they can bring more casual sellers to the resale market.
“Whatever costs we have, they should be in service of increased liquidity, so we can grow faster and add more people,” Oates says. “In case of the label service, those are people who otherwise wouldn’t be able to participate in selling online. There’s no other app that would allow them to sell without a printer.”
Image Credits: Curtsy
This system, so far, appears to be working. Curtsy now has several hundred thousand people who buy and sell on its iOS-only app, with an average transaction rates of three items bought or sold per month. When the new round closed late in 2020, the company was reporting a $25 million GMV revenue run rate, and average monthly growth of around 30%. Today, Curtsy generates revenue by taking a 20% commission on sales (or $3 for items under $15).
The team, until recently, was only five people — including co-founders David Oates, William Ault, Clara Agnes Ault and Eli Allen, plus a contract workforce. With the Series A, Curtsy will be expanding, specifically by investing in new roles within product and marketing to help it scale. It will also be focused on developing an Android version of its app in the first quarter of 2021 and further building out its web presence.
“Never before have we seen such a strong overlap between buyers and sellers on a consumer-to-consumer marketplace,” said Damir Becirovic of Index Ventures, about the firm’s investment. “We believe the incredible love for Curtsy is indicative of a large marketplace in the making,” he added.
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At a time when more companies are building machine learning models, Arthur.ai wants to help by ensuring the model accuracy doesn’t begin slipping over time, thereby losing its ability to precisely measure what it was supposed to. As demand for this type of tool has increased this year, in spite of the pandemic, the startup announced a $15 million Series A today.
The investment was led by Index Ventures with help from newcomers Acrew and Plexo Capital, along with previous investors Homebrew, AME Ventures and Work-Bench. The round comes almost exactly a year after its $3.3 million seed round.
As CEO and co-founder Adam Wenchel explains, data scientists build and test machine learning models in the lab under ideal conditions, but as these models are put into production, the performance can begin to deteriorate under real-world scrutiny. Arthur.ai is designed to root out when that happens.
Even as COVID has wreaked havoc throughout much of this year, the company has grown revenue 300% in the last six months smack dab in the middle of all that. “Over the course of 2020, we have begun to open up more and talk to [more] customers. And so we are starting to get some really nice initial customer traction, both in traditional enterprises as well as digital tech companies,” Wenchel told me. With 15 customers, the company is finding that the solution is resonating with companies.
It’s interesting to note that AWS announced a similar tool yesterday at re:Invent called SageMaker Clarify, but Wenchel sees this as more of a validation of what his startup has been trying to do, rather than an existential threat. “I think it helps create awareness, and because this is our 100% focus, our tools go well beyond what the major cloud providers provide,” he said.
Investor Mike Volpi from Index certainly sees the value proposition of this company. “One of the most critical aspects of the AI stack is in the area of performance monitoring and risk mitigation. Simply put, is the AI system behaving like it’s supposed to?” he wrote in a blog post announcing the funding.
When we spoke a year ago, the company had eight employees. Today it has 17 and it expects to double again by the end of next year. Wenchel says that as a company whose product looks for different types of bias, it’s especially important to have a diverse workforce. He says that starts with having a diverse investment team and board makeup, which he has been able to achieve, and goes from there.
“We’ve sponsored and work with groups that focus on both general sort of coding for different underrepresented groups as well as specifically AI, and that’s something that we’ll continue to do. And actually I think when we can get together for in-person events again, we will really go out there and support great organizations like AI for All and Black Girls Code,” he said. He believes that by working with these groups, it will give the startup a pipeline to underrepresented groups, which they can draw upon for hiring as the needs arise.
Wenchel says that when he can go back to the office, he wants to bring employees back, at least for part of the week for certain kinds of work that will benefit from being in the same space.
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French startup Ankorstore has raised a $29.9 million Series A round (€25 million) with Index Ventures leading the round. Existing investors GFC, Alven and Aglaé are also participating.
Ankorstore is building a wholesale marketplace that connects independent shop owners with brands selling household supplies, maple syrup, headbands, bath salts, stationery items and a lot more. That list alone should remind you of neighborhood stores that sell a ton of cutesy stuff that you don’t necessarily need but that tend to be popular.
The company works with 2,000 brands and 15,000 shops. And the startup isn’t just connecting buyers and sellers, as it has a clear set of rules. For instance, the minimum first order is €100, which means that you can try out new products without ordering hundreds of items at once.
By default, Ankorstore withdraws the money 60 days after placing an order. Brands get paid upon delivery. And of course, buying from several brands through Ankorstore should simplify your admin tasks.
Ankorstore is currently live in eight countries — France, Spain, Austria, Germany, Belgium, Holland, Switzerland and Luxembourg. France is the biggest market followed by Germany. Up next, the startup plans to launch in the U.K. in 2021.
In many ways, Ankorstore reminds me of Faire, the wholesale marketplace that has raised hundreds of millions of dollars in the U.S.
“There are a number of different retail marketplaces connecting retailers with makers and brands. Where we believe we differ is in our clear focus on the independent shop owner, offering the tools and the terms that make it really easy and cost-effective to discover and access some of the most desirable up-and-coming brands,” Ankorstore co-founder Pierre-Louis Lacoste said.
Given that the startup is working with small suppliers, chances are they’re only selling their products in Europe. So there should be enough room for a European leader in that space that I would describe as wholesale Etsy-style marketplaces with a strong focus on curation.
Image Credits: Ankorstore
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“I have to choose my words carefully,” says Joe Castelino of Stevens Creek Volkswagen in San Jose, California, when asked about the management software on which most car dealerships rely for inventory information, marketing, customer relationships and more.
Castelino, the dealership’s service director, laughs as he says this. But the joke has apparently been on car dealers, most of whom have largely relied on a few frustratingly antiquated vendors for their dealer management systems over the years — along with many more sophisticated point solutions.
It’s the precise opportunity that former Tesla CIO, Jay Vijayan, concluded he was well-positioned to address while still in the employ of the electric vehicle giant.
As Vijayan tells it, he knew nothing about cars until joining Tesla in 2011, following a dozen years of working in product development at Oracle, then VMware. Yet he learned plenty over the subsequent four years. Specifically, he says he helped to build with Elon Musk a central analysis system inside Tesla, a kind of brain that could see all of the company’s internal systems, from what was happening in the supply chain to its factory systems to its retail platform.
Tesla had to build it itself, says Vijayan; after evaluating the existing software of third-company providers, the team “realized that none of them had anything close to what we needed to provide a frictionless modern consumer experience.”
It was around then that a lightbulb turned on. If Tesla could transform the experience for its own customers, maybe Vijayan could transform the buying and selling experience for the much bigger, broader automotive industry. Enter Tekion, a now four-year-old, San Carlos, California company that now employs 470 people and has come far enough along that just attracted $150 million in fresh funding led by the private equity investor Advent International.
With the Series C round — which also included checks from Index Ventures, Airbus Ventures, FM Capital and Exor, the holding company of Fiat-Chrysler and Ferrari — the company has now raised $185 million altogether. It’s also valued at north of $1 billion. (The automakers General Motors, BMW and the Nissan-Renault-Mitsubishi Alliance are also investors.)
Eric Wei, a managing director at Advent, says that over the last decade, his team had been eager to seize on what’s approaching a $10 billion market annually. Instead, they found themselves tracking incumbents Reynolds & Reynolds, CDKGlobal and Dealertrack, which is owned by Cox Automotive, and waiting for a better player to emerge.
Then Wei was connected to Tekion through Jon McNeill, a former Tesla president and an advisory partner to Advent.
Says Wei of seeing its tech compared with its more established rivals: “It was like comparing a flip phone to an iPhone.”
Perhaps unsurprisingly, McNeill, who worked at Tesla with Vijayan, also sings the company’s praises, noting that Tekion even bought a dealership in Gilroy, Calif., to use as a kind of lab while it was building its technology from scratch.
Such praise is nice, but more importantly, Tekion is attracting the attention of dealers. Though citing competitive reasons, Vijayan declined to share how many have bought its cloud software — which connects dealers with both manufacturers and car buyers and is powered by machine learning algorithms — he says it’s already being used across 28 states.
One of these dealerships is the national chain Serra Automotive, whose founder, Joseph Serra, is now an investor in Tekion.
Another is that Volkswagen dealership in San Jose, where Castelino — who doesn’t have a financial interest in Tekion — speaks enthusiastically about the time and expenses his team is saving because of Tekion’s platform.
For example, he says customers need only log-in now to flag a particular issue. After that, with the help of an RFID tag, Stevens Creek knows exactly when that customer pulls into the dealership and what kind of help they need, enabling people to greet him or her on arrival. Tekion can also make recommendations based on a car’s history. It might, for instance, suggest to a customer a brake fluid flush “without an advisor having to look through a customer’s history,” he says.
As important, he says, the dealership has been able to cut ties with a lot of other software vendors, while also making more productive use of its time. Says Castelino, “As soon as a [repair order] is live, it’s in a dispatcher’s hand and a technician can grab the car.”
It’s like that with every step, he insists. “You’re saving 15 minutes again and again, and suddenly, you have three hours where your intake can be higher.”
Interestingly, the steepest competition, should it come, might eventually be from Tesla itself.
In an earnings call earlier today, Musk told analysts that there are essentially a dozen startups housed inside of Tesla, including one centered on vehicle service. It’s the very business that Vijayan helped to create.
As for whether Musk might spin out any of these, he said Tesla currently has no plans to do so, suggesting it has enough on its plate for the time being.
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Grid AI, a startup founded by the inventor of the popular open-source PyTorch Lightning project, William Falcon, that aims to help machine learning engineers work more efficiently, today announced that it has raised an $18.6 million Series A funding round, which closed earlier this summer. The round was led by Index Ventures, with participation from Bain Capital Ventures and firstminute.
Falcon co-founded the company with Luis Capelo, who was previously the head of machine learning at Glossier. Unsurprisingly, the idea here is to take PyTorch Lightning, which launched about a year ago, and turn that into the core of Grid’s service. The main idea behind Lightning is to decouple the data science from the engineering.
The time argues that a few years ago, when data scientists tried to get started with deep learning, they didn’t always have the right expertise and it was hard for them to get everything right.
“Now the industry has an unhealthy aversion to deep learning because of this,” Falcon noted. “Lightning and Grid embed all those tricks into the workflow so you no longer need to be a PhD in AI nor [have] the resources of the major AI companies to get these things to work. This makes the opportunity cost of putting a simple model against a sophisticated neural network a few hours’ worth of effort instead of the months it used to take. When you use Lightning and Grid it’s hard to make mistakes. It’s like if you take a bad photo with your phone but we are the phone and make that photo look super professional AND teach you how to get there on your own.”
As Falcon noted, Grid is meant to help data scientists and other ML professionals “scale to match the workloads required for enterprise use cases.” Lightning itself can get them partially there, but Grid is meant to provide all of the services its users need to scale up their models to solve real-world problems.
What exactly that looks like isn’t quite clear yet, though. “Imagine you can find any GitHub repository out there. You get a local copy on your laptop and without making any code changes you spin up 400 GPUs on AWS — all from your laptop using either a web app or command-line-interface. That’s the Lightning “magic” applied to training and building models at scale,” Falcon said. “It is what we are already known for and has proven to be such a successful paradigm shift that all the other frameworks like Keras or TensorFlow, and companies have taken notice and have started to modify what they do to try to match what we do.”
The service is now in private beta.
With this new funding, Grid, which currently has 25 employees, plans to expand its team and strengthen its corporate offering via both Grid AI and through the open-source project. Falcon tells me that he aims to build a diverse team, not in the least because he himself is an immigrant, born in Venezuela, and a U.S. military veteran.
“I have first-hand knowledge of the extent that unethical AI can have,” he said. “As a result, we have approached hiring our current 25 employees across many backgrounds and experiences. We might be the first AI company that is not all the same Silicon Valley prototype tech-bro.”
“Lightning’s open-source traction piqued my interest when I first learned about it a year ago,” Index Ventures’ Sarah Cannon told me. “So intrigued in fact I remember rushing into a closet in Helsinki while at a conference to have the privacy needed to hear exactly what Will and Luis had built. I promptly called my colleague Bryan Offutt who met Will and Luis in SF and was impressed by the ‘elegance’ of their code. We swiftly decided to participate in their seed round, days later. We feel very privileged to be part of Grid’s journey. After investing in seed, we spent a significant amount with the team, and the more time we spent with them the more conviction we developed. Less than a year later and pre-launch, we knew we wanted to lead their Series A.”
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The venture world is swimming in capital these days, and the flood doesn’t appear to be abating.
That’s changing the game for venture capitalists and their firms, which transformed from solo practitioners focused on one stage and a single geographical area to covering all startups in all geos in all industries in just a handful of years.
One firm that has navigated those changes for decades is Index Ventures, one of the first funds to launch in Europe that has evolved into a multi-stage firm in recent years. The firm last raised a total of $2 billion this past April to continue doubling down on all the deals springing up across the world.
This week on Extra Crunch Live, I interviewed Nina Achadjian and Sarah Cannon, two SF-based partners at Index, to discuss what they are seeing in the market, how VC fundraises have changed and continue to change and how they are adapting to the rise of rolling funds and other new seed vehicles. This was the first time that the two came together for a panel, and our conversation was a real blast.
Here’s an edited and condensed version of the conversation, with highlights of the best insights from the panel.
TechCrunch: September is traditionally a time for fundraises to kick off for the fall, but in this COVID-19 world, everything is different. Who is fundraising right now and what do you see going on?
Nina Achadjian: Well, there are two things. One, there was an incredible pull from the market for technology tools. So many businesses that had put off buying technology or investing in technology really all of a sudden found themselves in a digitally-first world or a digital-only world and therefore, there was a massive pull for technology products. It’s the reason why companies like Shopify and others in the public markets have had just amazing, record quarters.
The second thing is, in venture when we raise these funds, we have a certain time period to deploy them, usually anywhere from two years to five years. So for us as investors, it’s not easy to just sit on the sidelines and wait till things sort themselves out.
So actually, a lot of venture investors have piggybacked off of this incredible pull from the market side and have been investing, I would say, at the same pace, or even a faster pace than we were before.
Are those paces the same for all stages?
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The venture capital world is rapidly changing, and thank heavens we have two of the smartest VCs on the future of investing, productivity tools and remote work joining us today to make sense of all the noise.
On Extra Crunch Live today, Sarah Cannon and Nina Achadjian, two VC partners based in Index Ventures’ SF office, will talk about these subjects and more. Plus, we will be taking questions from the audience, so come prepared. Login details are below the fold for EC members, and if you don’t have an Extra Crunch membership, click through to sign up.
As I wrote when we announced the slate last week:
First, we have Nina Achadjian, who officially joined Index Ventures several years ago out of the firm’s SF office and was promoted to partner earlier this year. Achadjian has been searching for and investing into some of the most interesting new collaborative companies that are rebuilding the enterprise from the ground up (which happens to have been a brilliant move given our remote-work world this year). Her investments include such companies as product-management service productboard, sales performance platform Gong, executive assistant marketplace Double and real estate services platform ServiceTitan.
Second, we have Sarah Cannon, who joined Index in 2018 from CapitalG, and who is also based officially out of SF. Cannon made a splash earlier this year with her bullish bet on note-taking and team productivity wunderkind Notion, and has also invested in productivity tools like collaborative presentation software Pitch and smart team messaging app Quill.
Join us today at 2 p.m. EDT/11 a.m. PDT/6 p.m. GMT.
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Berlin -based cargo.one, which runs a marketplace for booking air freight, has closed an $18.6 million Series A round of funding led by Index Ventures.
Next47 and prior backers Creandum, Lufthansa Cargo and Point Nine Capital also participated in the round, along with a number of angel investors — including Tom Stafford of DST Global and Carlos Gonzalez-Cadenas (COO of GoCardless and former chief product officer of Skyscanner).
The August 2017-founded startup says it’s seen bookings rise during the coronavirus crisis travel crunch as airlines seek alternatives to selling seats to passengers.
Over the past 12 months the startup says it’s scaled GMV by 10x and is expecting continued fast-paced growth as COVID-19 accelerates the adoption of digital distribution in air cargo.
The new funding will go on expanding the business, with the team aiming to increase the number of airlines signed up — including beefing up coverage in Europe. Cargo.one is also targeting expanding into North America and Asia — planning to triple headcount to 70 staff by the end of the year via an aggressive hiring drive.
Currently it has 12 airlines signed up to use the platform to book in freight shipments, including Lufthansa, All Nippon Airways, Finnair, Etihad, AirBridgeCargo and TAP Air Portugal. It launched the booking product two summers ago, with Lufthansa Cargo as the first airline signed up.
“Cargo.one is a two-sided marketplace, connecting airlines with forwarders of all sizes,” says co-founder and MD Oliver Neumann, discussing the business model. “We receive a commission fee from the airlines for selling their air freight capacities on our platform. For freight forwarders the access to the booking platform is free.”
The platform offers real-time visibility of available air freight across covered airlines and routes — aiming to replace what can be an arduous process of phone and/or email back and forth for its target users (freight-forwarding offices).
Airlines set prices for air freight products sold via cargo.one .
“The air cargo market has been stuck in the ’90s when compared to the passenger business. The vast majority of air cargo to this day is booked by calling the airlines directly. Many processes are still manual and time-consuming,” says Neumann, who describes the product as “more than just a booking platform.”
“We design, build and maintain custom integrations to our airline partners, creating both the front end for freight forwarders and integrating into the systems of the airlines and helping them improve the back-end infrastructure. That’s why we refer to it as the operating system for air cargo.”
“At cargo.one we are building a 100% digital solution and enable airlines to transform their business digitally. Over the past years, cargo.one has built tailored technical integrations with airline partners that enable them to distribute their capacity online without the need to overhaul their infrastructure,” he adds.
Currently, cargo.one’s platform has some 1.1 million+ air freight offers per month, covering 120+ countries and 300 airports globally.
On the customer side it has more than 1,500 freight-forwarding offices signed up at this point — which it touts as including “21 of the top 25 companies globally.”
“From January to June 2020, cargo.one saw the number of air cargo search requests by freight forwarders quadruple. In response to increased demand from airlines and freight forwarders, we expect to triple the size of the business by the end of the year,” adds Neumann.
Index’s Martin Mignot and Max Rimpel led the Series A investment in cargo.one.
Commenting on the funding in a statement, Mignot, said: “cargo.one has formed close partnerships with major global airlines, who have subsequently seen their cargo business expand significantly. Conversations with dozens of other airlines in the Americas and Asia show the clear need for a simple booking engine for air cargo, and early signs of the far-reaching impact it will have on the airline industry and businesses around the world who rely on it to serve their customers.”
Venture capital has been pouring into the logistics space over the past decade, chasing an increasing number of startups spotting opportunities to apply digital efficiencies to the movement of physical goods — including aiming to replace freight forwarders themselves, in the case of another Berlin logistics startup, FreightHub, which raised a $30 million Series B last year for a logistics play that covers sea, air and rail freight.
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