Mangrove Capital Partners

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Tailor Brands raises $50M, aims to be one-stop shop for small businesses to launch

Tailor Brands, a startup that automates parts of the branding and marketing process for small businesses, announced Thursday it has raised $50 million in Series C funding.

GoDaddy led the round as a strategic partner and was joined by OurCrowd and existing investors Pitango Growth, Mangrove Capital Partners, Armat Group, Disruptive VC and Whip Media founder Richard Rosenblatt. Tailor Brands has now raised a total of $70 million since its inception in 2015.

“GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online,” said Andrew Morbitzer, vice president of corporate development at GoDaddy, in a written statement. “We are excited to invest in Tailor Brands — and its team — as we believe in their vision. Their platform truly helps entrepreneurs start their business quickly and easily with AI-powered logo design and branding services.”

When Tailor Brands, which launched at TechCrunch’s Startup Battlefield in 2014, raised its last round, a $15.5 million Series B, in 2018, the company was focused on AI-driven logo creation.

The company, headquartered in New York and Tel Aviv, is now compiling the components for a one-stop SaaS platform — providing the design, branding and marketing services a small business owner needs to launch and scale operations, and within minutes, Yali Saar, co-founder and CEO of Tailor Brands told TechCrunch.

Over the past year, more users are flocking to Tailor Brands; the company is onboarding some 700,000 new users per month for help in the earliest stages of setting up their business. In fact, the company saw a 27% increase in new business incorporations as the creator and gig economy gained traction in 2020, Saar said.

In addition to the scores of new users, the company crossed 30 million businesses using the platform. At the end of 2019, Tailor Brands started monetizing its offerings and “grew at a staggering rate,” Saar added. The company yielded triple-digit annual growth in revenue.

To support that growth, the new funding will be used on R&D, to double the team and create additional capabilities and functions. There may also be future acquisition opportunities on the table.

Saar said Tailor Brands is at a point where it can begin leveraging the massive amount of data on small businesses it gathers to help them be proactive rather than reactive, turning the platform into a “consultant of sorts” to guide customers through the next steps of their businesses.

“Users are looking for us to provide them with everything, so we are starting to incorporate more products with the goal of creating an ecosystem, like WeChat, where you don’t need to leave the platform at all to manage your business,” Saar said.

 

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Edge computing startup Edgify secures $6.5M seed from Octopus, Mangrove and semiconductor

Edgify, which builds AI for edge computing, has secured a $6.5 million seed funding round backed by Octopus Ventures, Mangrove Capital Partners and an unnamed semiconductor giant. The name was not released but TechCrunch understands it may be Intel Corp. or Qualcomm Inc.

Edgify’s technology allows “edge devices” (devices at the edge of the internet) to interpret vast amounts of data, train an AI model locally and then share that learning across its network of similar devices. This then trains all the other devices in anything from computer vision, NLP, voice recognition or any other form of AI.

The technology can be applied to anything from MRI machines, connected cars, checkout lanes, mobile devices and anything that has a CPU, GPU or NPU. Edgify’s technology is already being used in supermarkets, for instance.

Ofri Ben-Porat, CEO and co-founder of Edgify, commented in a statement: “Edgify allows companies, from any industry, to train complete deep learning and machine learning models, directly on their own edge devices. This mitigates the need for any data transfer to the Cloud and also grants them close to perfect accuracy every time, and without the need to retrain centrally.”

Mangrove partner Hans-Jürgen Schmitz, who will join Edgify’s Board comments: “We expect a surge in AI adoption across multiple industries with significant long-term potential for Edgify in medical and manufacturing, just to name a few.”

Simon King, partner and Deep Tech Investor at Octopus Ventures added: “As the interconnected world we live in produces more and more data, AI at the edge is becoming increasingly important to process large volumes of information.”

So-called “edge computing” is seen as being one of the forefronts of deep tech right now.

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K Health raises $25M for its AI-powered primary care platform

K Health, the startup providing consumers with an AI-powered primary care platform, has raised $25 million in Series B funding. The round was led by 14W, Comcast Ventures and Mangrove Capital Partners, with participation from Lerer HippeauBoxGroup and Max Ventures — all previous investors from the company’s seed or Series A rounds. Other previous investors include Primary Ventures and Bessemer Venture Partners.

Co-founded and led by former Vroom CEO and Wix co-CEO Allon Bloch, K Health (previously Kang Health) looks to equip consumers with a free and easy-to-use application that can provide accurate, personalized, data-driven information about their symptoms and health.

“When your child says their head hurts, you can play doctor for the first two questions or so — where does it hurt? How does it hurt?” Bloch explained in a conversation with TechCrunch. “Then it gets complex really quickly. Are they nauseous or vomiting? Did anything unusual happen? Did you come back from a trip somewhere? Doctors then use differential diagnosis to prove that it’s a tension headache versus other things by ruling out a whole list of chronic or unusual conditions based on their deep knowledge sets.”

K Health’s platform, which currently focuses on primary care, effectively looks to perform a simulation and data-driven version of the differential diagnosis process. On the company’s free mobile app, users spend three-to-four minutes answering an average of 21 questions about their background and the symptoms they’re experiencing.

Using a data set of two billion historical health events over the past 20 years — compiled from doctors’ notes, lab results, hospitalizations, drug statistics and outcome data — K Health is able to compare users to those with similar symptoms and medical histories before zeroing in on a diagnosis. 

With its expansive comparative approach, the platform hopes to offer vastly more thorough, precise and user-specific diagnostic information relative to existing consumer alternatives, like WebMD or, what Bloch calls “Dr. Google,” which often produce broad, downright frightening and inaccurate diagnoses. 

Ease and efficiency for both consumers and physicians

Users are able to see cases and diagnoses that had symptoms similar to their own, with K Health notifying users with serious conditions when to consider seeking immediate care. (K Health Press Image / K Health / https://www.khealth.ai)

In addition to pure peace of mind, the utility provided to consumers is clear. With more accurate at-home diagnostic information, users are able to make better preventative health decisions, avoid costly and unnecessary trips to in-person care centers or appointments with telehealth providers and engage in constructive conversations with physicians when they do opt for in-person consultations.

K Health isn’t looking to replace doctors, and, in fact, believes its platform can unlock tremendous value for physicians and the broader healthcare system by enabling better resource allocation. 

Without access to quality, personalized medical information at home, many defer to in-person doctor visits even when it may not be necessary. And with around one primary care physician per 1,000 people in the U.S., primary care practitioners are subsequently faced with an overwhelming number of patients and are unable to focus on more complex cases that may require more time and resources. The high volume of patients also forces physicians to allocate budgets for support staff to help interact with patients, collect initial background information and perform less-demanding tasks.

K Health believes that by providing an accurate alternative for those with lighter or more trivial symptoms, it can help lower unnecessary in-person visits, reduce costs for practices and allow physicians to focus on complicated, rare or resource-intensive cases, where their expertise can be most useful and where brute machine processing power is less valuable.

The startup is looking to enhance the platform’s symbiotic patient-doctor benefits further in early-2019, when it plans to launch in-app capabilities that allow users to share their AI-driven health conversations directly with physicians, hopefully reducing time spent on information gathering and enabling more-informed treatment.

With K Health’s AI and machine learning capabilities, the platform also gets smarter with every conversation as it captures more outcomes, hopefully enriching the system and becoming more valuable to all parties over time. Initial results seem promising, with K Health currently boasting around 500,000 users, most having joined since this past July.

Using access and affordability to improve global health outcomes

With the latest round, the company has raised a total of $37.5 million since its late-2016 founding. K Health plans to use the capital to ramp up marketing efforts, further refine its product and technology and perform additional research to identify methods for earlier detection and areas outside of primary care where the platform may be valuable.

Longer term, the platform has much broader aspirations of driving better health outcomes, normalizing better preventative health behavior and creating more efficient and affordable global healthcare systems.

The high costs of the American healthcare system and the impacts they have on health behavior has been well-documented. With heavy co-pays, premiums and treatment cost, many avoid primary care altogether or opt for more reactionary treatment, leading to worse health outcomes overall.

Issues seen in the American healthcare system are also observable in many emerging market countries with less medical infrastructure. According to the World Health Organization, the international standard for the number of citizens per primary care physician is one for every 1,500 to 2,000 people, with some countries facing much steeper gaps — such as China, where there is only one primary care doctor for every 6,666.

The startup hopes it can help limit the immense costs associated with emerging countries educating millions of doctors for eight-to-10 years and help provide more efficient and accessible healthcare systems much more quickly.

By reducing primary care costs for consumers and operating costs for medical practices, while creating a more convenient diagnostic experience, K Health believes it can improve access to information, ultimately driving earlier detection and better health outcomes for consumers everywhere.

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