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Greyparrot uses computer vision to improve waste management

Meet Greyparrot, a London-based startup that wants to improve waste management. The company uses computer vision to make sorting more efficient at different stages of the waste chain. And Greyparrot has been selected as a wildcard for the Startup Battlefield at TechCrunch Disrupt SF.

The company has been using machine learning with images of different types of waste to train a model that detects glass, paper, cardboard, newspapers, cans and different types of plastics (black trays, PET, HDPE).

Greyparrot can then use a simple camera combined with a computer to sort waste in a fraction of a second.

There are many different use cases for this kind of technology, but it seems particularly promising in sorting facilities. Those facilities already use a ton of machines to separate small and big objects, metal from plastics, etc. But many of them still rely on humans at the end of the process to pick up the last remaining false positive objects.

While it’s never possible to sort everything with a 100% accuracy, you want to get as close as possible to 100%. Sorting facilities create huge cubes of PET plastics and send them to countries on the other side of the world so that they can transform PET into something else.

In some cases, those cubes are not pure enough. For instance, Indonesia regularly refuses containers of waste and send them back to the U.S. or Europe.

 

Greyparrot wants to help with the last step of the sorting process. The product can be used to assess the purity of a conveyor belt to see if it’s good enough. It can also identify problematic objects and give coordinates to a sorting robot so that it can automatically pick up impurities.

The startup has been testing its solution in facilities in the U.K. and South Korea. It has raised $1.2 million so far.

In the future, Greyparrot also has other ideas of use cases. For instance, you could imagine embedding Greyparrot’s technology in a smart bin to automatically sort waste from the very beginning. You could also use Greyparrot in reverse vending machines and credit your account when you return plastic bottles.


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StrattyX lets you buy and sell shares using automated rules

StrattyX is a trading interface that lets you set up sophisticated “if-this-then-that” rules and execute orders on the stock market. The startup is participating in the Startup Battlefield at TechCrunch Disrupt SF.

There are plenty of brokers that let you buy and sell shares using a mobile app and a web interface. But if you want to access more sophisticated tools and automate strategies, there’s not much you can do.

StrattyX wants to open up automated trading software to anyone, from non-professional traders who have some savings to professional day traders. The startup focuses on this specific part of the process.

It doesn’t try to reinvent the wheel and it doesn’t want to become an online stock broker. Instead, the company integrates with existing brokers, such as Robinhood, TD Ameritrade and many others as long as they support trading via an API. It acts as an interface and executes orders on your behalf.

You can create rules based on multiple different factors. In addition to traditional stop-loss and stop-limit orders, you can say that you want to buy or sell shares if something happens on Twitter, in the news or on the stock market.

Here are a few examples of rules you can create:

  • If @realdonaldtrump tweets something that contains “China” or “tariff,” sell Apple shares.
  • If the value of EUR drops by 2% against USD, buy LVMH shares.
  • If news headline contains “Tesla delays deliveries,” sell Tesla shares.

disrupt battlefield strattyx 1205

Interestingly, StrattyX will provide a marketplace of strategies. If a star investor starts using StrattyX to define a set of automated rules, other users could follow the same strategy.

StrattyX then wants to go one step further by giving you the tools to train a model using machine learning and user-generated data sets. You could imagine a feature that lets you upload a .csv file with price history and different types of data points, such as SEC filings, earnings, etc.

The company is also working on a feature that would show you news headlines that you’d rate with a Tinder-style swipe gesture — swipe right if you think it’s good news, swipe left if you think it’s bad news.

StrattyX is launching its mobile app today. It’s a sort of minimum viable product for now — some features are still in beta. The company is also working on a desktop version that would be useful for professional traders in particular.

StrattyX initially costs $5 per month per user, with more expensive plans for bigger teams and whether you execute a lot of orders through the product. The startup is looking to raise a seed round in the coming months.


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LifeCouple wants to improve your romantic relationship

Good relationships require ongoing commitment and work. LifeCouple, launching today in public beta at TechCrunch Disrupt SF Startup Battlefield, wants to help make that work a bit easier for you and your partner.

Through its app, LifeCouple enables couples to address and monitor any challenges in their relationship. The startup does this by serving up content designed to encourage people to look more closely at their relationship across four key areas: trust, communication, conflict and intimacy. The content includes daily relationship challenges, ice breakers to help approach tricky conversations, digital gifts and more.

LifeCouple is designed to supplement couples therapy, its founder Sean Rones told TechCrunch.

“It’s not a replacement to therapy but it’s a complement to it,” he said. “I don’t think this can 100% solve your problem but it can give you the tools to solve your problems.”

Additionally, Rones envisions couples therapists using this tool to further assist their clients.

Just how startups use technology to track fitness and health, LifeCouple aims to help people create relationship goals, address those goals and track them over time. The ideal is for people to spend about 15 minutes per day to get the most out of it, Rones said.

 

“What motivated me is after many different startups, I’ve learned that in order to be somewhat successful, you have to be tackling a really big problem,” he said.

LifeCouple is currently free, but is working to determine the cost moving forward. In the first two months of its soft launch, LifeCouple amassed 2,500 users in the U.S.

“What we’re trying to do is create something that can help — even if it’s just 10 couples that stay together,” Rones said.

This year, LifeCouple raised a $575,000 seed round. The plan is to do a full launch in January.


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Orbit Fab raises $3M to make orbital refueling easier, cheaper and more accessible

Orbit Fab, one of the companies competing in this year’s TechCrunch Disrupt Battlefield in San Francisco this week, has closed a seed round of $3 million. The funding comes from Type 1 Ventures, TechStars and others, and will help Orbit Fab continue to build on the great momentum it has already bootstrapped with its space-based robotic refueling technology.

You might remember the name Orbit Fab from a milestone accomplishment the young company achieved earlier this year: Becoming the first startup to supply water to the International Space Station, itself an achievement but also a key demonstration of the viability of its technology for use in orbital satellite refueling. Refueling satellites could have tremendous impact on the commercial satellite business, extending the operating life of expensive satellites considerably, which translates to better margins and more profitable businesses.

Thanks to co-founders Daniel Faber and Jeremy Schiel’s connections in the space industry, from more than 15 years working in space technology businesses in a leadership capacity, the company was able to demonstrate its technology working in space less than a year after Orbit Fab was actually founded. Faber, Orbit Fab’s CEO, and Schiel, the startup’s CMO, met when both were working at Deep Space Industries – Faber as CEO and Schiel as a contractor.

Orbit Fab

Orbit Fab’s first space payload, the ISS water resupply robot.

“We ended up reconnecting later on and really looking at a few different business models on how to push the industry forward,” Schiel said in an interview. “The one that really landed with customers, and the one that resonated with the industry was refueling satellites. Elon [Musk] has been making rockets reusable – we thought it’s time that we make satellites reusable as well.”

Starting from this realization, the pair founded the company in January 2018. They then secured their first round of pre-seed investment from Bolt in San Francisco in June that year, and also landed two contracts –  including one with NASA, and one with the International Space Station National Laboratory.

“Basically in four-and-a-half months, we got flight-qualified and human-rated from NASA our two tanker test beds that we flew to the International Space Station in December 2018, and March of 2019,” Shield said.

How did they do it with that speed? Faber credits their rapid progress largely to lead engineer James Bultitude, an accomplished space engineer with five payloads on the International Space Station already.

“He took [the project] from a napkin through to flight hardware in four-and-a-half months,” Faber said. “All qualified to NASA human-rated safety standards, which was quite the feat. We really had to push hard on NASA.”

Faber said that the company’s ability to spur the U.S. space agency into action has been a key driver of its success. In fact, he relayed a story in which their National Lab demonstration payload was actually left off of its intended flight, but the team was able to get its cargo approved by top NASA decision-makers over the course of a weekend and just barely made the cut as a result.

As for working with NASA as a startup, Faber said that it’s become a very different affair, with the agency eager and adapting to working more with younger companies and startups bringing a different pace of innovation to the field.

“The change is almost palpable on the phone with NASA – you can almost hear them changing,” he said.

At Disrupt, Orbit Fab demonstrated their robotic connector for refueling on stage for the first time. The idea is that satellite makers will build their standard nozzles into their designs, and then a robotic refueler will be able to seek out the nozzle, open and then close on to the coupler, forming a solid connection to allow propellant transfer.

Already, Orbit Fab is talking to partners, including Northrop Grumman, and it’s a member of the Consortium for Execution of Rendezvous and Servicing Operations (CONFERS), an industry group that aims to make robotic service and maintenance of satellites a viable reality.


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T4 wants to transform market research data with a combination of AI and humans

When T4 co-founder and CEO Maks Khurgin was working at Bain and Company, he ran into a common problem for analysts looking for market data. He spent way too much time searching for it and felt there had to be a better way. He decided to build a centralized market data platform himself, and T4 was born. This week the company competes in the TechCrunch Disrupt SF Startup Battlefield.

What he created with the help of his long-time friend and CTO, Yev Spektor, was built on a couple of key components. The first is an industry classification system, a taxonomy, that organizes markets by industries and sub-industries. Using search and aggregation tools powered by artificial intelligence, it scours the web looking for information sources that match their taxonomy labels.

As they researched the tool, the founders realized that the AI could only get them so far. There were always pieces that it missed. So they built a second part to provide a way for human indexers to fill in those missing parts to offer as comprehensive a list of sources as possible.

“AI alone cannot solve this problem. If we bring people into this and avoid the last mile delivery problem, then you can actually start organizing this information in a much better way than anyone else had ever done,” Khurgin explained.

It seems simple enough, but it’s a problem that well-heeled companies like Bain have been trying to solve for years, and there was a lot of skepticism when Khurgin told his superiors he was leaving to build a product to solve this problem. “I had a partner at Bain and Company actually tell me, “You know, every consulting firm has tried to do something like this — and they failed. Why do you think you can do this?””

He knew that figuring out the nature of the problem and why the other attempts had failed was the key to solving the puzzle. He decided to take the challenge, and on his 30th birthday, he quit his job at Bain and started T4 the next day — without a product yet, mind you.

This was not the first time he had left a high-paying job to try something unconventional. “Last time I left a high paying job, actually after undergrad, I was a commodities derivatives trader for a financial [services company]. I left that to pursue a lifelong dream of being in the Marine Corps,” Khurgin said.

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T4 was probably a less risky proposition, but it still took a leap of faith that only a startup founder can understand, who believes in his idea. “I felt the problem first-hand, and the the big kind of realization that I had was that there is actually a finite amount of information out there. Market research is created by humans, and you don’t necessarily have to take a pure AI approach,” he said.

The product searches for all of the related information on a topic, finds all of the data related to a category and places it in an index. Users can search by topic and find all of the free and paid reports related to that search. The product shows which reports are free and which will cost you money, and like Google, you get a title and a brief summary.

The company is just getting started with five main market categories so far, including cloud computing, cybersecurity, networking, data centers and eSports. The founders plan to add additional categories over time, and have a bold goal for the future.

“Our long-term vision is that we become your one-stop shop to find market research in the same way that if you need to buy something, you go to Amazon, or you need financial data, you go on Bloomberg or Thomson. If you need market research, our vision is that T4 is the place that you go,” Khurgin said.


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Osano makes business risk and compliance (somewhat) sexy again

A new startup is clearing the way for other companies to better monitor and manage their risk and compliance with privacy laws.

Osano, an Austin, Texas-based startup, bills itself as a privacy platform startup, which uses a software-as-a-service solution to give businesses real-time visibility into their current privacy and compliance posture. On one hand, that helps startups and enterprises large and small insight into whether or not they’re complying with global or state privacy laws, and manage risk factors associated with their business such as when partner or vendor privacy policies change.

The company launched its privacy platform at Disrupt SF on the Startup Battlefield stage.

Risk and compliance is typically a fusty, boring and frankly unsexy topic. But with ever-changing legal landscapes and constantly moving requirements, it’s hard to keep up. Although Europe’s GDPR has been around for a year, it’s still causing headaches. And stateside, the California Consumer Privacy Act is about to kick in and it is terrifying large companies for fear they can’t comply with it.

Osano mixes tech with its legal chops to help companies, particularly smaller startups without their own legal support, to provide a one-stop shop for businesses to get insight, advice and guidance.

“We believe that any time a company does a better job with transparency and data protection, we think that’s a really good thing for the internet,” the company’s founder Arlo Gilbert told TechCrunch.

Gilbert, along with his co-founder and chief technology officer Scott Hertel, have built their company’s software-as-a-service solution with several components in mind, including maintaining its scorecard of 6,000 vendors and their privacy practices to objectively grade how a company fares, as well as monitoring vendor privacy policies to spot changes as soon as they are made.

One of its standout features is allowing its corporate customers to comply with dozens of privacy laws across the world with a single line of code.

You’ve seen them before: The “consent” popups that ask (or demand) you to allow cookies or you can’t come in. Osano’s consent management lets companies install a dynamic consent management in just five minutes, which delivers the right consent message to the right people in the best language. Using the blockchain, the company says it can record and provide searchable and cryptographically verifiable proof-of-consent in the event of a person’s data access request.


“There are 40 countries with cookie and data privacy laws that require consent,” said Gilbert. “Each of them has nuances about what they consider to be consent: what you have to tell them; what you have to offer them; when you have to do it.”

Osano also has an office in Dublin, Ireland, allowing its corporate customers to say it has a physical representative in the European Union — a requirement for companies that have to comply with GDPR.

And, for corporate customers with questions, they can dial-an-expert from Osano’s outsourced and freelance team of attorneys and privacy experts to help break down complex questions into bitesize answers.

Or as Gilbert calls it, “Uber, but for lawyers.”

The concept seems novel but it’s not restricted to GDPR or California’s upcoming law. The company says it monitors international, federal and state legislatures for new laws and changes to existing privacy legislation to alert customers of upcoming changes and requirements that might affect their business.

In other words, plug in a new law or two and Osano’s customers are as good as covered.

Osano is still in its pre-seed stage. But while the company is focusing on its product, it’s not thinking too much about money.

“We’re planning to kind of go the binary outcome — go big or go home,” said Gilbert, with his eye on the small- to medium-sized enterprise. “It’s greenfield right now. There’s really nobody doing what we’re doing.”

The plan is to take on enough funding to own the market, and then focus on turning a profit. So much so, Gilbert said, that the company is registered as a B Corporation, a more socially conscious and less profit-driven approach of corporate structure, allowing it to generate profits while maintaining its social vision.

The company’s idea is strong; its corporate structure seems mindful. But is it enough of an enticement for fellow startups and small businesses? It’s either dominate the market or bust, and only time will tell.

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OmniVis could save lives by detecting cholera-infected water in minutes rather than days

Clean drinking water is one of the most urgent needs in developing countries and disaster-stricken areas, but safety tests can take days — during which tainted water can infect thousands. OmniVis aims to make detection of cholera and other pathogens as quick, simple, and cheap as a pregnancy test. Its smartphone-powered detection platform could save thousands of lives.

OmniVis, which presented on stage at Disrupt SF’s Startup Battlefield today, emerged from research conducted at Purdue University, where CEO and co-founder Katherine Clayton completed her doctorate. She and her advisors were working on the question of using microfluidics, basically very close inspection of the behavior of fluids, to detect cholera bacteria in water.

In case you forgot your Infectious Diseases 101, cholera is a bacterium that thrives in water polluted by fecal matter. When ingested it multiplies and causes severe diarrhea and dehydration — which as you might imagine can become a life-threatening problem if a community is short on clean water.

While normally uncommon, there was a huge cholera outbreak in Haiti in 2010 following a major earthquake there; 665,000 people were infected and more than 8,000 people died. It was this humanitarian disaster that prompted Clayton to look into how such an event might have been prevented. She’s been working on what would become the OmniVis platform since 2013.

“It’s been a long time coming,” she told me.

That’s not uncommon for academic spin-offs with valuable IP but zero product experience. Moving from lab bench to field-ready hardware has taken years of hard work. But the resulting device could upend a costly and slow water testing process that leaves communities at risk in crucial moments.

omnivis lab

Existing water testing is generally done at a central location, a lab run by a university, utility, or the local government. It depends on the region — and of course if there has been a disaster, it may not even be functional. Going from sample collection to results may take several days, and it isn’t cheap, either. Clayton estimated it at $100 per sample.

“But that’s just supplies and labor,” she said. “Not the cost of the lab, the PCR machines — which are tens of thousands of dollars — the pipettes, the dyes, the disposables and consumables, the training… not to mention in a lot of areas you’re not just going to walk by a nice central laboratory. Some countries may only have one or two testing facilities.”

Another option is disposable rapid diagnostic tests, more like pregnancy tests than anything, meant for use with stool samples — but their accuracy is low even then, and with cholera diluted in a water source you may as well be flipping a coin.

Such was the state of testing when Haiti had its outbreak and Clayton began looking into it. In 2013 they began investigating microfluidics as a method for detection. It works by exposing a set of chemical reagents, or “primers,” to a water sample. These primers are engineered to bind to bits of cholera’s DNA and then when heated, replicate it — a process called DNA amplification.

The more cholera is present, the more DNA will be available to amplify, and it multiplies to the point where it affects the viscosity of the water — a factor that can be tested by the device. Interestingly, the device in no way “analyzes” the DNA or identifies it; all it does is measure how viscous the water is, which is a highly reliable proxy for how much cholera was present in it to begin with.

It turns out this method is both quick and accurate: In 30 minutes it gives as good or better results as central testing.

“The worst thing we could ever do is say there’s no cholera in the water when there is,” Clayton said. So they’re focused on robust test results over all else. But ultimately the device still had to go from the lab to the real world. To that end the team conducted pilot tests in Haiti, where they worked with local NGOs and communities to get some direct feedback.

What they found was promising — but also resulted in major changes to the product. For one thing, they had to switch from iPhone to Android.

“People feel safer with Android than iPhone, which is considered a luxury item,” Clayton said. They also found that men and women operated the system equally well — the team is 84 percent women, she noted, and their design choices may have crept into the product the same as can happen on what is much more common, a male-dominated team. English and Svengali users likewise did fine. Interestingly, locals were baffled by roman numerals. “That was surprising,” she said, but illustrative of how even the smallest assumptions need to be questioned.

“I love user-centered design,” Clayton said. “I think it’s the only way to get engineering to work. UX and graphic design is not my or my colleagues’ specialty, so we had to get some outside contractors for that.”

The production device, which OmniVis hopes to ship in about six months, should cost around a thousand dollars — but at about $10 per test it will pay for itself quickly, especially considering how much easily it can be deployed and used. A half-hour turnaround on a test that can be performed by an aid worker with an hour’s training is an invaluable tool in a disaster-stricken area where infrastructure like mail and roads may be in disorder.

These devices, by the way, are not bought and paid for by the people who drink the water. Like the water-testing labs, they’ll be owned and operated by NGOs, governments and others with budgets for this kind of thing.

Cholera is the first pathogen the company is aiming to detect, but the system can just as easily detect several others simply by using different disposable tests equipped with different primers. E. Coli could be next — with the proper testing, Clayton said. And others would follow. It’s not hard to imagine an OmniVis device being a must-have for any relief work where water needs to be tested.


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Render announces object storage service at TechCrunch Disrupt

It was a big day for startup Render, which participated in the TechCrunch Disrupt Startup Battlefield today. It also announced some upgrades to its managed cloud platform.

First of all, it announced the ability to spin up object storage in the cloud, while greatly simplifying the tasks associated with adding storage. CEO and founder Anurag Goel says that the storage option is something customers have been requesting, and as with their other services, they handle a lot of the heavy lifting for them.

“One of the things that our users want us to do next is to build out object storage. Even though they can use things like Amazon S3 and other cloud storage options, they know that Render is going to be easier for them to use. So they really want object storage, and they want everything in one place,” Goel explained.

If you want to do that today without Render, you would have to spin up a virtual machine in the cloud, attach the storage, set up backup schedules and take care of all of these other associated tasks, and what Render is doing with Render Disk is stripping that all away and managing the process for them.

While the startup was at it, it also developed a concept called infrastructure as code. This allows developers to define their infrastructure requirements in a YAML file. When the developer sends the file to GitHub, Render can build the infrastructure for the customer on the fly based on the contents of this file.

Finally, they are offering a one-click launch to customers. This could come in handy for companies that are offering free trials or open-source tools to enable users to launch their applications with a single click from GitHub and it will load all of the required files.


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Mutiny creates personalized plans for B2B marketing

Mutiny, a personalized marketing startup for businesses that sell to other businesses, is taking the stage today at TechCrunch’s Startup Battlefield, where it’s announcing new funding and new features.

CEO Jaleh Rezaei told me that she and co-founder Nikhil Mathew created Mutiny to solve a problem they saw as early employees at HR services company Gusto — trying to personalize their messages to different sales prospects.

With Mutiny, they’ve built easy-to-use tools allowing marketers to show different landing pages to different customers. To do this, the product draws on pre-built data integrations to identify customer segments, then allows customers to use a visual editor to build different versions of landing pages for those segments.

“When we think about the B2B journey, it has changed quite a bit,” Rezaei said. “Today, 67% of that B2B buyer’s journey is online. Without engineering, it’s really hard to change that journey and have an impact. What’s exciting about Mutiny is we empower these great marketers to improve their customer experience without that constant dependence on technical teams.”

Mutiny was part of the Summer 2018 class at accelerator Y Combinator. Rezaei said that shortly after demo day, the startup raised $3 million in funding from Cowboy Ventures, Uncork Capital and various angel investors.

It’s since added features to support targeted, account-based marketing. Rezaei said Mutiny pulls account data from Salesforce, cleaning it up and surfacing it, so that when a prospective customer responds to your marketing, they could end up on a landing page showing their own name, title and company.

Mutiny dashboard

For example, Brex is creating landing pages for its email marketing campaigns, where each page shows the recipient’s name and company; Gusto is tailoring landing pages based on the AdWords search terms that brought a prospective customer to that page; and Amplitude is customizing landing pages based on company size and other attributes.

As a result, Mutiny says Brex has seen a 200% lift in outbound leads, while Amplitude has increased all inbound leads by more than 40%. (Other customers include Segment, Carta, TripActions and Elastic.) 

Today, Mutiny is also announcing that it will offer personalized recommendations to marketers. So if all these ideas are new to you, the product can recommend specific customer segments that you should consider personalizing for based on things like your traffic data and conversion data.

Mutiny can also create entire “playbooks,” recommending not just the segment to personalize, but what that personalized experience should look like for that segment.

“The goal of Mutiny is always to make personalization really easy and really guided,” Rezaei said.


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Render challenges the cloud’s biggest vendors with cheaper, managed infrastructure

Render, a participant in the TechCrunch Disrupt SF Startup Battlefield, has a big idea. It wants to take on the world’s biggest cloud vendors by offering developers a cheaper alternative that also removes a lot of the complexity around managing cloud infrastructure.

Render’s goal is to help developers, especially those in smaller companies, who don’t have large DevOps teams, to still take advantage of modern development approaches in the cloud. “We are focused on being the easiest and most flexible provider for teams to run any application in the cloud,” CEO and founder Anurag Goel explained.

He says that one of the biggest pain points for developers and startups, even fairly large startups, is that they have to build up a lot of DevOps expertise when they run applications in the cloud. “That means they are going to hire extremely expensive DevOps engineers or consultants to build out the infrastructure on AWS,” he said. Even after they set up the cloud infrastructure, and move applications there, he points out that there is ongoing maintenance around patching, security and identity access management. “Render abstracts all of that away, and automates all of it,” Goel said.

It’s not easy competing with the big players on scale, but he says so far they have been doing pretty well, and plan to move much of their operations to bare metal servers, which he believes will help stabilize costs further.

render DSC02051

“Longer term, we have a lot of ideas [about how to reduce our costs], and the simplest thing we can do is to switch to bare metal to reduce our costs pretty much instantly.” He says the way they have built Render will make that easier to do. The plan now is to start moving their services to bare metal in the fourth quarter this year.

Even though the company only launched in April, it is already seeing great traction. “The response has been great. We’re now doing over 100 million HTTP requests every week. And we have thousands of developers and startups and everyone from people doing small hobby projects to even a major presidential campaign,” he said.

Although he couldn’t share the candidate’s name, he said they were using Render for everything including their infrastructure for hosting their web site and their back-end administration. “Basically all of their cloud infrastructure is on Render,” he said.

Render has raised a $2.2 million seed round and is continuing to add services to the product, including several new services it will announce this week around storage, infrastructure as code and one-click deployment.


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