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HealNow raises $1.3 million to bring online payments to pharmacies
As the health tech landscape rapidly evolves, another startup is making its presence known. HealNow has closed a $1.3 million round of funding from SoftBank Opportunity Fund and Alabama Futures Fund.
The company was founded by Halston Prox and Joshua Smith. Prox has worked in healthcare for more than a decade with major organizations such as Providence Health, Mount Sinai and Baylor Scott & White, mostly focused on digitizing health records and designing and implementing software for doctors, nurses, etc. Smith, CTO at the company, has been a developer since 2012.
The duo founded HealNow to become the central nervous system for order and delivery of prescriptions, according to Prox. Your average payments processing system isn’t necessarily applicable to pharmacies large and small because of the complexities of health insurance and the regulatory landscape.
Not only is it costly to facilitate online payments for pharmacies, but they also have their own pharmacy management systems and workflows that can be easily disrupted by moving to a new payments system.
HealNow has built a system that’s specifically tailored to pharmacies of any shape or size, from grocery stores to mom and pop pharmacies and everything in between. It’s a white label solution, meaning that any pharmacy can put their brand language on the product.
“We’re embedded in their current workflows and pharmacies don’t have to do anything manual, even if they’re using a pharmacy management system,” said Prox.
When a user looks to get a prescription from their pharmacy, they are sent a link that allows them to securely answer any questions that may be necessary for the pickup, enter insurance info, make a payment and schedule a curbside pickup or a delivery. The tech also integrates with third-party delivery services for pharmacies that offer deliveries.
This technology has been particularly important during the COVID-19 pandemic, giving smaller pharmacies the chance to compete with bigger chains who have digital solutions already set up that allow for curbside pick up. This is especially true now that Amazon has gotten into the space with the launch of Amazon Pharmacy.
HealNow is a SaaS company, charging a monthly subscription fee for use of the platform, as well as a service fee for prescriptions purchased on the platform. However, that service fee is a flat rate that never changes based on the cost of the prescription.
The space is crowded and growing more crowded, with competitors like NimbleRX and Capsule offering their own spin on simplifying and digitizing the pharmacy. One big difference for HealNow, says Prox, is that the startup has no intention of ever being a pharmacy, but rather serving pharmacies in a way that doesn’t disrupt their current workflow or system.
“We’re not a pharmacy, and we want to enable all these pharmacies to be online,” said Prox. “To do that we have to do that in an unbiased way by focusing on being a complete tech company.”
The funding is going primarily toward building out the sales and marketing arms of the company to continue fueling growth. HealNow has a foothold in the West, Southwest and Middle America, and is opening an office in Birmingham to sprint across the East Coast. Prox says the company is processing thousands of orders a day and tens of thousands of orders each month.
HealNow launched in 2018 after graduating from the Entrepreneurs Roundtable Accelerator .
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Firebolt raises $37M to take on Snowflake, Amazon and Google with a new approach to data warehousing
For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake. Today, a startup that has built a more comprehensive way to assess, analyse and use that data is announcing funding as it looks to take on Snowflake, Amazon, Google and others in the area of enterprise data analytics.
Firebolt, which has redesigned the concept of a data warehouse to work more efficiently and at a lower cost, is today announcing that it has raised $37 million from Zeev Ventures, TLV Partners, Bessemer Venture Partners and Angular Ventures. It plans to use the funding to continue developing its product and bring on more customers.
The company is officially “launching” today but — as is the case with so many enterprise startups these days operating in stealth — it has been around for two years already building its platform and signing commercial deals. It now has some 12 large enterprise customers and is “really busy” with new business, said CEO Eldad Farkash in an interview.
The funding may sound like a large amount for a company that has not really been out in the open, but part of the reason is because of the track record of the founders. Farkash was one of the founders of Sisense, the successful business intelligence startup, and he has co-founded Firebolt with two others who were on Sisense’s founding team, Saar Bitner as COO and Ariel Yaroshevich as CTO.
At Sisense, these three were coming up against an issue: When you are dealing in terabytes of data, cloud data warehouses were straining to deliver good performance to power its analytics and other tools, and the only way to potentially continue to mitigate that was by piling on more cloud capacity.
Farkash is something of a technical savant and said that he decided to move on and build Firebolt to see if he could tackle this, which he described as a new, difficult and “meaningful” problem. “The only thing I know how to do is build startups,” he joked.
In his opinion, while data warehousing has been a big breakthrough in how to handle the mass of data that companies now amass and want to use better, it has started to feel like a dated solution.
“Data warehouses are solving yesterday’s problem, which was, ‘How do I migrate to the cloud and deal with scale?’ ” he said, citing Google’s BigQuery, Amazon’s RedShift and Snowflake as fitting answers for that issue. “We see Firebolt as the new entrant in that space, with a new take on design on technology. We change the discussion from one of scale to one of speed and efficiency.”
The startup claims that its performance is up to 182 times faster than that of other data warehouses. It’s a SQL-based system that works on principles that Farkash said came out of academic research that had yet to be applied anywhere, around how to handle data in a lighter way, using new techniques in compression and how data is parsed. Data lakes in turn can be connected with a wider data ecosystem, and what it translates to is a much smaller requirement for cloud capacity.
This is not just a problem at Sisense. With enterprise data continuing to grow exponentially, cloud analytics is growing with it, and is estimated by 2025 to be a $65 billion market, Firebolt estimates.
Still, Farkash said the Firebolt concept was initially a challenging sell even to the engineers that it eventually hired to build out the business: It required building completely new warehouses from the ground up to run the platform, five of which exist today and will be augmented with more, on the back of this funding, he said.
And it should be pointed out that its competitors are not exactly sitting still either. Just yesterday, Dataform announced that it had been acquired by Google to help it build out and run better performance at BigQuery.
“Firebolt created a SaaS product that changes the analytics experience over big data sets,” Oren Zeev of Zeev Ventures said in a statement. “The pace of innovation in the big data space has lagged the explosion in data growth rendering most data warehousing solutions too slow, too expensive, or too complex to scale. Firebolt takes cloud data warehousing to the next level by offering the world’s most powerful analytical engine. This means companies can now analyze multi Terabyte / Petabyte data sets easily at significantly lower costs and provide a truly interactive user experience to their employees, customers or anyone who needs to access the data.”
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Halo Infinite now scheduled for release in ‘Fall 2021’
We already knew that Halo Infinite was delayed until next year. Initially intended to launch alongside the new Xboxes, Microsoft announced back in August that it would instead ship in 2021.
Exactly when in 2021, though, was still anyone’s guess. A new blog post from 343 Industries narrows it down a bit: it’ll be released in Fall.
Assuming they mean Fall in the Northern Hemisphere (which, well, they probably do,) this narrows the launch window to sometime between the end of September and the end of December. So it’ll be a while… but a late game is better than a bad game, right?
343 has a blog post and interview outlining the team’s thinking on the timing (and a bit about what they’re still working on) but it really all boils down to one point: they “needed more time to do things right.”
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DoorDash said to price at $102 per share, doubling its final private price
According to media reports, food-delivery giant DoorDash priced its IPO at $102 per share, ahead of its final IPO pricing range of $90 to $95 per share.
The company’s debut has been warmly anticipated by public investors, as evinced by the company raising its range from an initial target of $75 to $85.
While we’re still waiting for official pricing, the price point makes DoorDash worth $32 billion at the time of its IPO price on a non-diluted basis (we’re using the company’s final S-1/A share count of 317,656,521). That valuation rises if one includes options that have vested but not been exercised, and even more if shares set aside for future compensation are also tallied. CNBC calculates DoorDash’s valuation to be $38.7 billion on a diluted basis.
Regardless, any of the valuation marks for DoorDash at $102 per share are far and away greater than its final pre-IPO valuation of around $16 billion, set this summer when the company took on additional capital. The unicorn raised more money during a growth boom, allowing it to add to its cash reserves ahead of its IPO with limited dilution.
DoorDash, which doubled its private startup valuation, is now incredibly well-capitalized to take on rivals Uber Eats and others. And at a price far above its raised range, it has more cash than it probably hoped for. How it uses that cash to preserve pandemic-driven gains will be a key narrative from the company in 2021.
More when we get official numbers.
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Uber sells air taxi business Elevate to Joby Aviation, shedding its last moonshot
Uber has offloaded its air taxi enterprise Elevate to Joby Aviation, the last of several moonshots to be sold by the ride-hailing company in a pursuit to stick to its core business and reach profitability.
The transaction announced Tuesday is part of a complex deal that includes Uber investing $75 million into Joby and an expanded partnership between the two companies. Last year, Uber and Joby, which is developing an all-electric, vertical take-off and landing passenger aircraft, signed on as a vehicle partner for Uber’s Elevate initiative. Joby was the first partner to commit to deploying air taxi services by 2023.
The $75 million investment comes in addition to a previously undisclosed $50 million investment made as part of Joby’s Series C financing round in January 2020, Uber said. To date, Joby Aviation has raised $820 million. Uber has invested a total of $125 million into the startup.
Under the deal, which is expected to close in early 2021, the two parent companies have agreed to integrate their respective services into each other’s apps.
“Advanced air mobility has the potential to be exponentially positive for the environment and future generations,” Uber CEO Dara Khosrowshahi said in a statement. “This deal allows us to deepen our partnership with Joby, the clear leader in this field, to accelerate the path to market for these technologies.”
While Joby is considered one of the leaders, Elevate did play a role in shaping the nascent industry, including establishing some of the benchmarks used by competitors.
“The team at Uber Elevate has not only played an important role in our industry, they have also developed a remarkable set of software tools that build on more than a decade of experience enabling on-demand mobility,” Joby Aviation CEO JoeBen Bevirt said in a statement.” These tools and new team members will be invaluable to us as we accelerate our plans for commercial launch.”
One year ago, Uber’s business model could be categorized as an “all of the above approach,” a strategy to generate revenue from all forms of transportation, including ride-hailing, micromobility, logistics and package and food delivery. The COVID-19 pandemic and Khosrowshahi’s focus on profitability prompted the company to dump its moonshots and double down on delivery with its acquisition of Postmates.
Today, Uber is a company focused on ride-hailing and delivery while keeping its hand in micromobility, logistics and autonomous vehicles through a series of deals struck in 2020.
The Joby-Elevate terms are similar to two other Uber deals this year. In the spring, Uber led a $170 million funding round in micromobility startup Lime. As part of the deal, Lime acquired Uber’s micromobility subsidiary Jump. The majority of Jump’s 400 employees were laid off. Earlier this week, autonomous vehicle startup Aurora Innovation reached an agreement with Uber to buy the ride-hailing firm’s self-driving unit in a complex deal that will value the combined company at $10 billion.
Just like Uber’s deals with Lime and now Joby, Aurora isn’t paying cash for Uber ATG, a company that was last valued at $7.25 billion. Instead, Uber is handing over its equity in ATG and investing $400 million into Aurora, which will give it a 26% stake in the combined company, according to a filing with the U.S. Securities and Exchange Commission.
Uber said in October that it sold off a $500 million stake in its Uber Freight business to an investor group led by New York-based investment firm Greenbriar Equity Group. The deal valued the unit at $3.3 billion on a post-money basis. Uber has maintained its majority stake in Uber Freight, unlike the Jump, Elevate and ATG deals.
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AWS expands on SageMaker capabilities with end-to-end features for machine learning
Nearly three years after it was first launched, Amazon Web Services’ SageMaker platform has gotten a significant upgrade in the form of new features, making it easier for developers to automate and scale each step of the process to build new automation and machine learning capabilities, the company said.
As machine learning moves into the mainstream, business units across organizations will find applications for automation, and AWS is trying to make the development of those bespoke applications easier for its customers.
“One of the best parts of having such a widely adopted service like SageMaker is that we get lots of customer suggestions which fuel our next set of deliverables,” said AWS vice president of machine learning, Swami Sivasubramanian. “Today, we are announcing a set of tools for Amazon SageMaker that makes it much easier for developers to build end-to-end machine learning pipelines to prepare, build, train, explain, inspect, monitor, debug and run custom machine learning models with greater visibility, explainability and automation at scale.”
Already companies like 3M, ADP, AstraZeneca, Avis, Bayer, Capital One, Cerner, Domino’s Pizza, Fidelity Investments, Lenovo, Lyft, T-Mobile and Thomson Reuters are using SageMaker tools in their own operations, according to AWS.
The company’s new products include Amazon SageMaker Data Wrangler, which the company said was providing a way to normalize data from disparate sources so the data is consistently easy to use. Data Wrangler can also ease the process of grouping disparate data sources into features to highlight certain types of data. The Data Wrangler tool contains more than 300 built-in data transformers that can help customers normalize, transform and combine features without having to write any code.
Amazon also unveiled the Feature Store, which allows customers to create repositories that make it easier to store, update, retrieve and share machine learning features for training and inference.
Another new tool that Amazon Web Services touted was Pipelines, its workflow management and automation toolkit. The Pipelines tech is designed to provide orchestration and automation features not dissimilar from traditional programming. Using pipelines, developers can define each step of an end-to-end machine learning workflow, the company said in a statement. Developers can use the tools to re-run an end-to-end workflow from SageMaker Studio using the same settings to get the same model every time, or they can re-run the workflow with new data to update their models.
To address the longstanding issues with data bias in artificial intelligence and machine learning models, Amazon launched SageMaker Clarify. First announced today, this tool allegedly provides bias detection across the machine learning workflow, so developers can build with an eye toward better transparency on how models were set up. There are open-source tools that can do these tests, Amazon acknowledged, but the tools are manual and require a lot of lifting from developers, according to the company.
Other products designed to simplify the machine learning application development process include SageMaker Debugger, which enables developers to train models faster by monitoring system resource utilization and alerting developers to potential bottlenecks; Distributed Training, which makes it possible to train large, complex, deep learning models faster than current approaches by automatically splitting data across multiple GPUs to accelerate training times; and SageMaker Edge Manager, a machine learning model management tool for edge devices, which allows developers to optimize, secure, monitor and manage models deployed on fleets of edge devices.
Last but not least, Amazon unveiled SageMaker JumpStart, which provides developers with a searchable interface to find algorithms and sample notebooks so they can get started on their machine learning journey. The company said it would give developers new to machine learning the option to select several pre-built machine learning solutions and deploy them into SageMaker environments.
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Former Salesforce chief scientist announces new search engine to take on Google
Richard Socher, former chief scientist at Salesforce, who helped build the Einstein artificial intelligence platform, is taking on a new challenge — and it’s a doozy. Socher wants to fix consumer search and today he announced you.com, a new search engine to take on the mighty Google.
“We are building you.com. You can already go to it today. And it’s a trusted search engine. We want to work on having more click trust and less clickbait on the internet,” he said. He added that in addition to trust, he wants it to be built on kindness and facts, three worthy but difficult goals to achieve.
He said that there were several major issues that led him and his co-founders to build a new search tool. For starters, he says that there is too much information and nobody can possibly process it all. What’s more, as you find this information, it’s impossible to know what you can trust as accurate, and he believes that issue is having a major impact on society at large. Finally, as we navigate the internet in 2020, the privacy question looms large as is how you balance the convenience-privacy trade-off.
He believes his background in AI can help in a consumer-focused search tool. For starters the search engine, while general in nature, will concentrate on complex consumer purchases where you have to open several tabs to compare information.
“The biggest impact thing we can do in our lives right now is to build a trusted search engine with AI and natural language processing superpowers to help everyone with the various complex decisions of their lives, starting with complex product purchases, but also being general from the get-go as well,” he said.
While Socher was light on details, preferring to wait until GA in a couple of months to share some more, he said he wants to differentiate from Google by not relying on advertising and what you know about the user. He said he learned from working with Marc Benioff at Salesforce that you can make money and still build trust with the people buying your product.
He certainly recognizes that it’s tough to take on an entrenched incumbent, but he and his team believe that by building something they believe is fundamentally different, they can undermine the incumbent with a classic “Innovator’s Dilemma” kind of play where they’re doing something that is hard for Google to reproduce without undermining their primary revenue model.
He also sees Google running into antitrust issues moving forward and that could help create an opening for a startup like this. “I think a lot of stuff that Google [has been doing] … with the looming antitrust will be somewhat harder for them to get away with on a continued basis,” he said.
He acknowledges that trust and accuracy elements could get tricky as social networks have found out. Socher hinted at some social sharing elements they plan to build into the search tool including allowing you to have your own custom you.com URL with your name to facilitate that sharing.
Socher said he has funding and a team together working actively on the product, but wouldn’t share how much or how many employees at this point. He did say that Benioff and venture capitalist Jim Breyer are primary backers and he would have more information to share in the coming months.
For now, if you’re interested, you can go to the website and sign up for early access.
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Calm raises $75M more at $2B valuation
Calm, a well-known meditation app, has raised new capital at a valuation of $2 billion. The round was anticipated after the company was reported to be hunting for up to $150 million at a valuation of $2.2 billion; perhaps Calm will follow in the steps of Robinhood and add a second tranche to the round in time.
Prior investor Lightspeed Venture Partners led the investment, which also saw participation from Insight, TPG and Salesforce CEO and new Slack owner Marc Benioff, among others.
That Calm was able to secure more capital is not surprising. The company has a history of quick revenue growth, and is reportedly profitable, to boot. And the investment comes after mental health-focused startups as a category have performed well from a venture capital perspective.
The coronavirus pandemic has likely also played into Calm’s attractiveness as an investment. Since the beginning, researchers have warned about the psychological toll that a pandemic could have on humanity. A recent Pew Research study suggested that people who have lost their jobs during the pandemic might be feeling higher levels of distress during this time. Rival service Headspace offered an annual subscription to its platform for free for those that are unemployed.
Calm responded to the toll of coronavirus by launching a page of free resources, and focusing on a partnership with nonprofit health system Kaiser Permanente. Kaiser was the first health system to make Calm app’s Premium subscription free for its members.
The startups sells a consumer service for around $70 per year, or $15 per month. And the startup has built out a corporate arm, “Calm for Business,” that likely brings revenue stability that augments its consumer efforts.
As part of a release concerning today’s news, Calm detailed a number of nearly useful growth metrics. The service has over 100 million downloads, up from 40 million downloads in February 2019. It also grew up from 1 million paying users to 4 million paying users in the same time period (we asked if that data was inclusive of any Calm for Business customers, a question Calm did not answer).
Other TechCrunch queries regarding the company’s economics, revenue growth and performance compared to its pre-COVID plan also went unanswered.
Calm and rival service Headspace have now raised a combined $434 million according to Crunchbase data, underscoring how attractive their models have proved to venture capitalists. According to a Bloomberg interview, Calm is considering acquiring smaller companies in the wake of its new capital event.
Regardless, Calm now has a refreshed war chest heading into 2021 and a plan to go hunting. That should generate a headline or two.
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Agricultural biotech startup Boost Biomes adds a strategic investor in Japan’s Universal Materials Incubator
Boost Biomes, the Y Combinator-backed developer of microbiome-based bio-fungicides and bio-pesticides for agricultural applications, has added $2 million in funding and picked up a new strategic investor in Japan’s Universal Materials Incubator.
To date, Boost Biomes has raised more than $7 million in financing to support the development of new products like its bio-fungicide developed from the microorganisms that live in the soil in a symbiotic relationship with plants.
The work that Boost does is primarily on understanding the interactions between microbes and plants in the soil. “The goal is to be the discovery engine and develop new microbial products for use in food and agriculture,” said Boost chief executive and co-founder Jamie Bacher.
The commitment from Japan’s Universal Materials Incubator expands on a $5 million institutional round led by another strategic partner, Yara International, a global crop nutrition company, and venture investors like Viking Global Investors and Y Combinator.
Boost hopes to tackle issues in agriculture like spoilage, bacterial contamination and pathogen infestations, as well as addressing diseases that can affect plant health directly.
Boost is already working with an undisclosed biomanufacturing partner to develop its bio-fungicide.
“UMI’s decision to invest in Boost comes from our evaluation of their team, technology, and the associated market opportunities. We believe that Boost’s platform generates a unique data set that can be exploited for far superior products with many diverse microbiome applications in food and agriculture,” said Yota Hayama, an investor at UMI, in a statement. “These are critical areas to achieve food security and promote sustainable agriculture. We also expect Boost’s huge potential on other areas where microbiomes are utilized.”
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Is 2020 bringing more edtech rounds than ever, or does it simply feel that way?
Venture capital activity is high at the moment, making it difficult to keep up with the influx of new rounds that are being announced.
Our cup runneth over, and I would much rather be busy than bored, but not all sectors are as busy as others. We’re not drowning in consumer social rounds, for example. We are, however, seemingly suffering from a deluge of edtech investments.
The Exchange explores startups, markets and money. Read it every morning on Extra Crunch, or get The Exchange newsletter every Saturday.
Happily for the TechCrunch crew, Natasha Mascarenhas has become our resident expert on the sector, covering it week in and week out. But even though it’s her beat, I couldn’t help but wonder this morning upon yet another large edtech round coming across the wires, just what is going on in the sector in aggregate?
I had to know. So, I’ve done a little digging into Crunchbase data, parsed through some other information and have something approaching an idea. My goal is to help us both understand if there are more edtech rounds than ever being announced, or if it simply seems that way.
Into the breach!
Edtech VC activity
The best way to start examining at a sector is to take its aggregate performance data and cut it into smaller bits. Companies do this with quarterly results, for example, an utterly arbitrary period of time to report on that is also very useful.
To get a handle on edtech in 2020, I went a bit more caveman and decided to look at the sector’s funding totals in 2020 by merely comparing the first and second half of the year.
Per Crunchbase’s “edtech” category, here’s what that data looks like:
- H1 2020: 211 rounds, $2.68 billion.
- H2 (YTD) 2020: 135 rounds, $5.25 billion.
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