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Grid4C Named a Key Industry Player in Navigant Research’s IoT and Analytics for Utilities Research Report

The following article was originally published on Business Wire online version 

Leading Market Research Firm Highlights Grid4C’s “Ability to Differentiate with AI Over Competitors”

AUSTIN, Texas–()–Grid4C, a leader in AI and Machine Learning solutions for the energy industry, announced today it has been named a Key Industry Player in Navigant Research’s IoT and Analytics for Utilities research report, published in Q2 2018. The leading research firm highlighted Grid4C’s “ability to differentiate with AI over competitors” and noted its prowess in AI, data science, and predictive analytics provides it the ability to solve problems for utility clients on both the grid and client side of the business.

“We are honored to be named a key industry vendor by Navigant Research, especially with the recognition for having unique capabilities that differentiate our offerings from some of the largest industry solution providers,” said Shane Fay, who leads sales and marketing efforts globally for the company. “It’s also encouraging to see Navigant Research state the market is large, and mostly untapped, for utilities who are looking to solve issues with AI.”

Ranked the #1 Predictive Analytics Solution for Utilities by GTM Research, Grid4C is working with the biggest utilities on four continents, delivering billions of predictions daily for millions of meters. The company’s analytics solutions leverage a prowess in AI and data science to provide utilities with accurate, real-time, and reliable predictions for their operations and customer-facing applications. The company’s capabilities use smart meter and IoT data to predict, detect, and diagnose faults and inefficiencies for grid assets and home appliances, without the need for hardware or sensor installations. The company’s solutions improve operational planning and load forecasting, reduce peak demand, increase energy savings, optimize demand response (DR), deliver new revenue streams, and increase customer engagement. Grid4C is currently working with the leading smart meter vendors to embed its algorithms inside the smart meters, at the edge of the grid, where the data is more granular, and predictions are even more accurate and timely.

“Many utilities are selecting us as their AI and Machine Learning partner, to solve use cases for both grid-side and customer facing applications, and are already embedding our algorithms into grid edge devices to push intelligence to the grid edge,” added Fay. “Navigant Research also recognized that as a software-only platform, our solutions enable scale without the expense of hardware or sensor installations.”

About Grid4C

Grid4C empowers energy providers and consumers by enabling the power to foresee, leveraging advanced Machine Learning capabilities to deliver accurate, granular predictions, which are crucial for tackling the rising challenges of today’s energy industry. Grid4C’s plug-and-play solutions analyze the massive amounts of sub-hourly data collected from millions of smart meters and IoT data, and together with customer data, pricing information and more, delivers new revenue streams, enhances customer value, improves the efficiency of energy operations, and maximizes profit. Its portfolio consists of Predictive Home Advisor, which includes non-intrusive household appliance fault detection and load disaggregation capabilities, Predictive Operational Analytics, enabling better decisions for coordination of DERs with meter, sub-meter, and asset-level forecasting, Predictive Customer Analytics, which predicts adoption of new rate plans and utility programs, and more.

For more info, visit www.grid4c.com

About Navigant Research

Navigant Research, the dedicated research arm of Navigant, provides market research and benchmarking services for rapidly changing and often highly regulated industries. In the energy sector, Navigant Research focuses on in-depth analysis and reporting about global clean technology markets. The team’s research methodology combines supply-side industry analysis, end-user primary research and demand assessment, and deep examination of technology trends to provide a comprehensive view of the Energy Technologies, Utility Transformations, Transportation Efficiencies, and Buildings Innovations sectors. Additional information about Navigant Research can be found at www.navigantresearch.com.

Israeli Social Trading co eToro Raises $100m

The following article was originally published on Globes online edition

eToro has raised $162 million to date and the latest financing round was completed at a company valuation of $800 million.

Israel social trading and multi asset brokerage company eToro has raised $100 million in its eight financing round led by China Minsheng Financial and with the participation of Korea Investment Partners, SBI Group and World Wide Invest. A source close to the deal said that the money was raised at a company valuation of $800 million. The proceeds will be used to expand to new markets, and R&D in blockchain and the digitalization of assets.The company has raised $162 million to date and previous investors include BRM Capital, Spark Capital, CommerzVentures GmbH, Social Leverage and Cubit Investments.eToro Group Ltd., which was selected in 2013 by “Globes” as one of Israel’s most promising start-ups, was founded in 2007 by brothers Yoni and Ronen Assia and David Ring with the vision of developing a platform that would open the financial markets to everyone by simplifying the user’s experience. eToro then developed a contracts for difference (CFD) trading platform and following the rise of popular social networks, the company decided to launch its own social investing platform called “OpenBook” in 2010. The company’s platform allpows trading in all assets including securities, foreign currencies and cryptocurrencies like bitcoin.To date, eToro has over 9 million registered users and offers hundreds of CFDs on currencies, stocks, indices, and commodities. The company has over 200 employees.eToro CEO Yoni Assia said, “This financing round will be critical for us and will help us to continue to develop our technologies and support the rapid growth that we have been experiencing recently. It will also help us continue our work in blockchain research.”

In the financing round eToro was represented by the Meitar Liquornik Geva Leshem Tal law firm and China Minsheng Financial was represented by Yigal Arnon & Co.

Yoni Assia told “Globes,” “We have always seen the investment market as very localized and not advanced. Ultimately, everybody wants to make profits in the market. Our customers, unlike institutional investors, do not object to sharing their investments. Users can therefore benefit from “the wisdom of the crowd” and learn what other investors are doing.”

Noa Ruschin Rimini, founder of Grid4C, selected as the cover story and “Top Utilities Solution Provider 2018” by CIO Review

The following article was originally published in CIO Review print and online editions

Grid4C: AI-Powered Energy Insights

The Internet, electricity, and cellular phones are all technological innovations that have given rise to new business models, have radically transformed economies, and forever changed the way that mankind lives and works. Artificial Intelligence (AI) and machine learning offer similar transformational potential, but with even greater opportunity: Humans no longer need to explain or program exactly how to accomplish all the tasks for new systems or innovations.

Grid4C is applying AI and machine learning to the world of energy, delivering powerful solutions for smart grid / smart devices predictive analytics, where energy value chain participants are empowered with the ability to radically optimize the electric grid and deliver new energy business models. Through these predictive analytics insights, utilities can ensure the reliability of a more distributed electric grid, consumers can recognize appliances on the verge of failure and more effectively optimize their energy consumption, and grid operators can leverage predictive consumption forecasts to better plan for the future. “Data from IoT devices and connected appliances such as thermostats and smart meters enables our self-learning algorithms to deliver intelligent forecasts, diagnostics, and insights,” explains Dr. Noa Ruschin-Rimini, founder and CEO of Grid4C.

“Recognized by Greentech Media Research as the #1 Predictive Analytics solution for the Energy industry, Grid4C is setting its sights on solving some of the toughest challenges the industry faces”

Led by Noa,having a in PhD AI and Machine Learning with predictive analytics and anomaly detection of Big Data as specialization, the company aims enable engagement among various energy value chain participants. Grid4C applies a plug and play AI and machine learning solution to address some of the prominent challenges associated with the decentralization of electric grids concerning renewable energy sources, electrification of transportation, and energy storage, which cannot be coordinated and optimized through today’s traditional forecasting and control methodologies. The company employs its expertise and AI-driven approach to streamline and leverage existing data sources to deliver accurate forecasts and predictions of distributed energy production and consumption. Their value proposition lies in their ability to derive higher value from existing, ubiquitous data sources non-intrusively, without the need for newer sensors for data collection.

Fault Detection and Diagnostics through Machine Learning

“Customer demands are just starting to catch up with the capabilities that we can provide,’’ says Dr. Ruschin-Rimini.

A solution that is generating a lot of excitement in the market is Fault Prediction, Detection and Diagnostics (FDD) for home appliances, based on smart meter data, which can be enriched with data from smart appliances such as connected thermostats, enabling the same algorithms to deliver deeper diagnostics and insights.“With smart meter data,” explains Dr. Ruschin-Rimini, “we can not only detect mechanical problems for HVAC systems or leaks in water heaters, but can even predict problems before they happen.” This can prevent slight inefficiencies from transcending into larger problems of much more severe consequences. “The core of our products is our proprietary AI self-learning engine, so all you need to do is ‘throw’ any data that may be relevant into it,’’ claims Dr. Ruschin-Rimini.

Empowering the Energy Value Chain

Grid4C’s solutions help the energy value chain on three fronts: customer-facing applications that help businesses and consumers not only save money but predict problems with the appliances they rely on, predictive customer analytics that facilitate segmentation and micro-targeting, and predictive operational analytics that optimize procurement, grid operations and the integration of solar, energy storage and electric vehicles. Grid4C is currently analyzing billions of smart meters and smart devices reads from four continents, generating millions of predictions each day, working with the biggest energy providers and smart meter vendors in the world.

The company’s product portfolio caters to a diverse customer base across the energy value chain with multiple domain-specific requirements. “We have noticed contrasting trends in the industry where certain customers require an economical solution that saves money and predicts problems with day-to-day appliances, whereas, another customer base requires energy segmentation, micro-targeting, and predictive operational analytics,” states Dr. Noa. Additionally, Grid4C also supports users seeking solutions for procurement optimization, grid operations, integration of solar systems, energy storage, and electric vehicles.

Grid4C has partnered with several global energy providers to help address various challenges related to energy utilization.

One of their successful partnerships is with Direct Energy—a retailer of energy services—which deployed Grid4C’s customer facing Machine Learning insights for more than one million residential customers in the U.S. Today, Grid4C’s machine learning product portfolio fuels DE’s “Direct your Energy” platform to drive new revenue streams and enhance customer interactions while optimizing DE’s products and services. Grid4C upholds their client’s goal of ‘Making a difference in people’s lives’ by empowering users with intelligent insights for energy conservation.’

Similarly, Grid4C works with Dalia Power Energies (DPE), Israel’s largest independent power producer, as their load forecasting platform, to deliver granular load and distributed energy resource (DER) predictions to improve operational efficiency and optimize profit margins. “By building a predictive model to each meter separately and analyzing data like meter and device reads, weather data, customer data and more, Grid4C’s engine automatically learns the underlying correlations and hidden patterns and generates predictions in a plug-and-play manner,’’ explains Dr. Ruschin-Rimini. The plug-and-play approach allows predictions to be generated very quickly, which means customers have the added benefit of short time-to-value.

“Data from IoT devices and connected appliances such as thermostats and smart meters enables our self-learning algorithms to deliver intelligent forecasts, diagnostics, and insights”

Another interesting example is Grid4C’s solutions for ENGIE-Think Energy, which are delivering new value add services for its residential customers. By leveraging Grid4C’s machine learning insights to extract more value from meter and smart thermostat data, ENGIE provides each customer insights such as smart thermostat optimizations, simulations regarding the impact of changing thermostat settings on the next bill, prediction, detection and diagnostics of appliances (HVAC, water heaters, refrigerators and pool pumps) faults and inefficiencies, and more.

Predicting the Future of Grid4C

Recognized recently by Greentech Media Research as the #1 Predictive Analytics solution for the Energy industry, the company is setting its sights on solving some of the toughest challenges the industry faces. “One of the most innovative capabilities we’re providing is embedding our algorithms directly into smart grid hardware, like smart meters, to make local decisions at the grid edge,” says Dr. Ruschin-Rimini. Grid4C’s edge lies in the ability ‘’to squeeze the greatest value from existing, ubiquitous data sources, non-intrusively, without needing to wait for new sensors to reach mass adoption.’’ In this sense, the smart meter becomes the real-time sensor, and can be used to save lives by predicting or detecting gas leakages, or managing demand rates for consumers in real-time. Grid4C is partnering with the world’s most successful smart grid leaders to develop the most valuable use cases for AI and machine learning at the grid edge, and will continue to leverage advanced machine learning capabilities to drive value from the exponential growth in IoT data.

Applitools Wins 2018 Red Herring Top 100 Award

The following article was originally published on PR Newswire online 

Company recognized as a top startup for its AI powered visual UI testing and monitoring approach to Application Visual Management

SAN MATEO, Calif., June 26, 2018 /PRNewswire/ — Applitools (https://applitools.com/), the leader in Application Visual Management, today announced it won the 2018 Red Herring Top 100 North America award. The Red Herring Top 100 identified Applitools as one of this year’s most promising private ventures from the North American business region out of a group of approximately 1,200 privately financed companies.

“We are honored to receive the Red Herring Top 100,” said Gil Sever, CEO of Applitools. “This recognition is a testament to the hard work and dedication of the Applitools team as we continue to grow our R&D and our sales teams to rapidly drive the market expansion of Visual AI and its utility for automated visual UI testing and monitoring.”

Applitools developed the first and only Visual AI Engine that mimics the human eye and brain in a reliable and scalable fashion, and continues to evolve through machine learning by analyzing millions of new images on a daily basis. Applitools Eyes, the company’s Automated Visual UI Testing and Monitoring Platform, achieves 99.999 percent accuracy and leverages the largest data set of UI validations in the world – a total of 100 million visual comparisons and one billion component level validations.

With tens of thousands of users from more than 300 customers around the globe, Applitools helps Test Automation Engineers, Developers, Manual QA experts, DevOps Teams, and Digital Transformation executives holistically support all visual aspects of software applications. With increasing demand of digital products and experiences, companies must leverage Application Visual Management (AVM) as a strategic advantage to shorten application delivery cycles while improving software quality.

About Red Herring Top 100 North America

Red Herring’s editors have been evaluating the world’s startups and tech companies for over two decades. It gives them the ability to see through the industry’s hype, to pick firms that will continue on a trajectory to success. Brands such as Alibaba, Google, Kakao, Skype, Spotify, Twitter and YouTube have all been singled out in Red Herring’s storied history.

“2018’s crop of Top 100 winners has been among our most intriguing yet,” said Red Herring chairman Alex Vieux. “North America has led the way in tech for so many years, and to see such unique, pioneering entrepreneurs and companies here in California, which is in many ways the heartland of the industry, has been a thrilling experience.”

“What has excited me most is to see so many people forging niches in high-tech and cutting edge sectors,” added Vieux. “Some of the technical wizardry and first-rate business models on show here at the conference has been fantastic to learn about. We believe Applitools embodies the drive, skill and passion on which tech thrives. Applitools should be proud of its achievement: the competition was incredibly strong.”

About Applitools

Applitools is the creator of Application Visual Management (AVM) to help companies release, test and monitor flawless mobile, web, and native apps in a fully automated way. Founded in 2013, Applitools uses sophisticated AI-powered image processing technology to ensure that an application appears correctly and functions properly on all mobile devices, browsers, operating systems, and screen sizes. Applitools has customers from a range of verticals, including Fortune 100 companies in software, banking, online retail, insurance, and pharmaceuticals. Applitools is headquartered in San Mateo, California, with an R&D center in Tel Aviv, Israel. For more information, please visit applitools.com.

Outdoorsy, the ‘Airbnb of RVs,’ rolls up $25 million in fresh funding

This article was originally published on techcrunch.com

According to serial entrepreneur Jeff Cavins, more than 35 million people each year look to rent an RV — 38 percent of them so-called millennials. Yet they often walk away from the experience empty-handed. The reason, he says: There are fewer than 100,000 commercially owned vehicles available from traditional rental services.

Cavins says that his San Francisco-based company, Outdoorsy, is beginning to address this issue by enabling owners of the 14 million privately owned RVs in the United States to rent them to users, à la Airbnb.

The vehicles are mostly sitting around collecting dust anyway, says Cavins, who co-founded the company in late 2014 after heading up seven previous companies — two of which were  publicly traded.

“Americans desperately want time off, but what happens is they’ll buy a camper van, they’ll use it year one, then use it again maybe one week that second year,” says Cavins. “In the meantime, it’s sitting in storage, with the owner often dealing with both a mortgage and insurance payment. By year three, people go back to the dealership and say, ‘We’re done,’ and the dealer says, ‘I’m sorry but that vehicle you paid $100,000 for three years ago is now worth $40,000.’ ”

Intuitively, the platform would seem to make sense. RVs are unaffordable for most people. Storing them is a hassle. And people are increasingly interested in reaching places where home-sharing sites and hotels cannot take them. Think Burning Man, for example, or the annual Coachella Valley Music and Arts Festival.

But Cavins said venture investors “didn’t get it,” when he began pitching the idea to them several years ago. While he secured meetings with all the right firms, he said he was repeatedly ushered politely out the door by people who deemed the idea too risky.

In fact, Cavins says that he and his co-founder and life partner Jen Young wound up funding the company for its first year. During that time, the platform they created, with two “phenomenal” developers,  was compelling enough to attract four term sheets from VCs. He turned them down, though. (“I didn’t want to give my company to them,” he says.) Instead, his next move was to enroll the company in NFX, a venture firm and accelerator that works with a small group of companies each year that are focused on “network effects,” or ensuring that both sides of a marketplace keep coming back in larger numbers.

The time spent in the program paid off, says Cavins. “At NFX, we learned to professionalize the platform. You think about power sellers on eBay and real estate firms on Zillow and property management companies on Airbnb. What we needed was to get [partner companies] on the platform,” which Outdoorsy has begun to do. Outdoorsy has a cross-promotional partnership, for example, with Kampgrounds of America, the network of campgrounds known as KOA, which has roughly 500 locations in North America. “They sell the dirt and space and Outdoorsy brings the hotel room,” says Cavins.

Cavins says Outdoorsy is also finding users through Facebook ads, via word of mouth, as well as through “emerging power sellers,” as Cavins calls them. He points to a single mother in Huntington Beach, Calif., who has acquired five RVs and using them to pay for her daughter’s law school tuition at UC Berkeley. “It’s almost like a cottage industry of folks who are running their businesses on our platform from their kitchen tables,” says Cavins.

Altogether, says Cavins, Outdoorsy now has 256,000 users, and he says it’s growing by 21,000 users a month. RV owners set prices, keeping between 80 percent and 94 percent of the total based on their “trust” ranking scores on the site and on how many vehicles they are renting. (The more they rent, the more they keep.) Outdoorsy separately keeps at least 10 percent of the overall rental price, in part to pay for on-demand insurance, along with unlimited roadside assistance, which it secures for renters through several partnerships.

It’s enough momentum that Outdoorsy, which now employs 50 people, just landed a sizable amount of Series B funding: $25 million led by Aviva Ventures and Altos Ventures, with participation from Tandem Capital and Autotech Ventures. (The latter had chipped into the $6.5 million that Outdoorsy raised previously — much of it from Cavins, who’d also taken earlier checks from NFX, Tekton Ventures and numerous angel investors.)

Even still, Outdoorsy has its challenges, of course. A look at some of the inventory Outdoorsy has unlocked shows a lot of pick-up trucks, which would seem to stretch the definition of recreational vehicle, at least in so far as people would probably prefer not to sleep in one (or visit Outdoorsy expressly to rent one).

There are also at least 10 other RV rental companies, including Mighway and Campanda.

And Outdoorsy has Airbnb itself with which to compete. Along with homes and other vacation rentals, Airbnb connects its users to RVs and campers.

Cavins argues that unlike these companies and Airbnb in particular, Outdoorsy’s users “connect emotionally” because unlike with Airbnb, where hosts and guests often never meet, Outdoorsy’s hosts have to meet renters in person in order to train them how to use their vehicles. (He insists that he has seen “families become best friends” and even “people get married” as a result.)

Airbnb has also somewhat famously had issues with renters destroying property. Asked how Outdoorsy handles the same challenge, the company explains that its insurance is “episodic” commercial insurance that covers all states, provinces, jurisdictions and territories. Once a consumer goes through Outdoorsy’s DMV check — the company says its software can do this in 20 seconds — he or she is approved for the insurance and covered up to $2 million for a trip. The insurance protects the owner, the renter and any third party in the event of an accident.

Cavins doesn’t mind being compared to Airbnb, as you might imagine. He suggests that in some ways, the two are very alike, pointing to the two companies’ respective focus on partnerships. Cavins notes that, among other things, Outdoorsy is working with numerous event organizers with the hope that in the not-too-distant future, when a customer buys a ticket to a NASCAR race or to a music festival, that person can also book a parking pass and an RV stocked with a favorite champagne.

It’s down the road right now, says Cavins. But “those partnerships are coming,” he adds.

iAngels Founding Partner Mor Assia on stage at the 2016 NOAH Conference

At the 2016 NOAH Conference in London, iAngels’ founding partner Mor Assia discusses key challenges and opportunities that lie ahead for accredited investors. In times of volatility and slowing economic growth, investors look to innovation as the main source of wealth creation. After all, asset classes where you can see the potential to 100x your money are few and far between.

In this talk, Mor Assia discusses the importance of creating a diversified portfolio and how Israeli high-tech fits into the global economy. In a mobile-first world, learn how iAngels has pioneered a fresh approach to angel investing from the comfort of your smartphone. Combining prominent co-investors with thorough due diligence, iAngels provides visibility and access to proprietary dealflow, changing the way that accredited investors build exposure to the venture capital asset class.

Watch Mor showcase the iAngels due diligence process on stage at the 2016 NOAH Conference, the preeminent European event where Internet CEOs, executives and investors gain deep insights into the latest proven concepts, network with senior executives and establish new business relationships.

Israel cybersecurity tech helps NatWest catch online crooks

BioCatch, which tracks behavior to detect online fraud, says UK bank has successfully tried its tech with clients

BioCatch, a cybersecurity company that tracks behavior to catch cyber crooks, said UK’s NatWest bank has successfully tried its technology with clients.

NatWest, one of the largest banks in the UK, has deployed BioCatch technology since the beginning of the year within its private banking arm Coutts and for some of its business customers, successfully preventing online fraud and helping to protect its 14 million customers, BioCatch said in a statement.

NatWest and BioCatch plan to pilot the technology with the bank’s personal banking customers sometime in 2017.

BioCatch’s system captures more than 500 points of behavior such as hand-eye coordination, pressure, hand tremors, navigation, scrolling and other finger movements to create unique user profiles. This allows BioCatch to distinguish the normal behavior of an authorized user from that of an unauthorized user, as well as to recognize automated BOTs, RATS, malware and other malicious account takeover attacks, where the victim is typically unaware that the banking session has been hacked…

This article was originally published on the Times of Israel

Israeli Caja competes with Amazon’s robots

Caja Systems has made the startling realization that the public likes buying online and wants to make getting your items out of the warehouse even easier

The e-commerce market is continually growing. The bottleneck for companies is their logistics warehouses, which have trouble maintaining a large variety of products and meeting tight supply schedules. Israeli company Caja is taking advantage of the situation by offering a cloud-managed robot service capable of accomplishing real time optimization.

A short pitch: What does the company do?

A: Caja, a startup, turns any manual warehouse into an automated one in just a few hours.

A slightly more thorough explanation

A: Behind every delivery you order online is a warehouse with a limited inventory and times for picking out the item that are growing shorter by the year. Most warehouses, however, still operate according to the same principles as the physical retail sector: inflexible shelving, predetermined demand, and many orders for a single item. In a desperate effort to meet the demands and remain profitable, logistics companies are employing workers who walk an average of 18 kilometers during a shift, because the items are stored on shelves that are two meters high. The companies are setting targets of collecting an item every 30 seconds for 7.5 hours, while trying to optimize warehouse dimensions.

Caja is seeking to change the fundamental assumption of storage theory by completely adapting it to e-commerce. The company uses easy and elastic shelving that is variable at each point in time. Reliable robots are in action 24/7. An overall system on the cloud performs real time optimization. The brain of the system is based on 4D navigation, meaning that the robots do not move and respond according to sensors. They know in advance where on the warehouse map they should be at all times. When the time dimension was added, we achieved complete coordination between the robots, complete optimization of the warehouse, and the ability to supply goods in just a few minutes.

Q: How did you get the idea?

A: As software engineers and e-commerce website founders, we were very familiar with the manual warehouse problem. With the rapid growth in unknown demand, we realized that the weak link was on the logistics side, and decided to take up the challenge. We initially looked for automatic alternatives, but found solutions that were very expensive and solved only some of the critical problems. The more we looked, the more we understood the problems. We also saw an opportunity, and that’s how Caja (“box” in Spanish) was born…

This post originally appeared on GeekTime.

 

Drippler Launches Chatbot To Provide 24/7 Mobile Tech Support

Drippler, the smart tech assistant app, has announced the launch of Drippler 3.0, which comes with a new tech support chatbot that helps users resolve technical issues on their smartphones.

Drippler’s new chat-based tech support service combines artificial intelligence with a “human-in-the-loop” system, supported by a community of experts who can answer consumer tech related questions on demand. In fact, Drippler’s “Tech Wizards” include thousands of experts, with a waitlist of more than 10,000.

“Drippler 3.0 answers a need in the market by providing an alternative to the outdated tech support call center model that many companies still employ,which wastes time and causes an unnecessary headache for consumers,” said Matan Talmi CEO of Drippler. “We designed Drippler to help people make better use of their smart and connected devices.”

To see the full article, click here

 

 

Act Kwik for refills on diapers, pizza and beer

You’re out of diapers and the baby has just … you know. Or your poodle has eaten all his kibble and is looking at you with those sad puppy-dog eyes. Or you’re short a six-pack of beer for the after-game blowout.

Help is just the click of a button away. Literally.

Israeli startup Kwik makes buttons to place on the changing table, next to the dog dish or on your fridge. Tap the button and it sends a message to your preferred supplier. Refills are on their way within the hour.

Physical buttons that make an electronic call for a re-order are not unique to Kwik. Amazon’s nearly identical Dash buttons have been gaining traction with 150 name brands including Tide, Kraft and Red Bull…

To see the full article, click here