Personal blog of Yzmir Ramirez

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.

Dataloop, a Tel Aviv-based startup that specializes in helping businesses manage the entire data life cycle for their AI projects, including helping them annotate their data sets, today announced that it has now raised a total of $16 million. This includes a $5 seed round that was previously unreported, as well as an $11 million Series A round that recently closed.

The Series A round was led by Amiti Ventures, with participation from F2 Venture Capital, crowdfunding platform OurCrowd, NextLeap Ventures and SeedIL Ventures.

“Many organizations continue to struggle with moving their AI and ML projects into production as a result of data labeling limitations and a lack of real-time validation that can only be achieved with human input into the system,” said Dataloop CEO Eran Shlomo. “With this investment, we are committed, along with our partners, to overcoming these roadblocks and providing next generation data management tools that will transform the AI industry and meet the rising demand for innovation in global markets.”

Image Credits: Dataloop

For the most part, Dataloop specializes in helping businesses manage and annotate their visual data. It’s agnostic to the vertical its customers are in, but we’re talking about anything from robotics and drones to retail and autonomous driving.

The platform itself centers around the “humans in the loop” model that complements the automated systems, with the ability for humans to train and correct the model as needed. It combines the hosted annotation platform with a Python SDK and REST API for developers, as well as a serverless Functions-as-a-Service environment that runs on top of a Kubernetes cluster for automating dataflows.

Image Credits: Dataloop

The company was founded in 2017. It’ll use the new funding to grow its presence in the U.S. and European markets, something that’s pretty standard for Israeli startups, and build out its engineering team as well.

San Diego-based Edgybees today announced the launch of Argus, its API-based developer platform that makes it easy to add augmented reality features to live video feeds.

The service has long used this capability to run its own drone platform for first responders and enterprise customers, which allows its users to tag and track objects and people in emergency situations, for example, to create better situational awareness for first responders.

I first saw a demo of the service a year ago, when the team walked a group of journalists through a simulated emergency, with live drone footage and an overlay of a street map and the location of ambulances and other emergency personnel. It’s clear how these features could be used in other situations as well, given that few companies have the expertise to combine the video footage, GPS data and other information, including geographic information systems, for their own custom projects.

Indeed, that’s what inspired the team to open up its platform. As the Edgybees team told me during an interview at the Ourcrowd Summit last month, it’s impossible for the company to build a new solution for every vertical that could make use of it. So instead of even trying (though it’ll keep refining its existing products), it’s now opening up its platform.

“The potential for augmented reality beyond the entertainment sector is endless, especially as video becomes an essential medium for organizations relying on drone footage or CCTV,” said Adam Kaplan, CEO and co-founder of Edgybees. “As forward-thinking industries look to make sense of all the data at their fingertips, we’re giving developers a way to tailor our offering and set them up for success.”

In the run-up to today’s launch, the company has already worked with organizations like the PGA to use its software to enhance the live coverage of its golf tournaments.

Red Hat is in the process of being acquired by IBM for a massive $34 billion, but that deal hasn’t closed yet and, in the meantime, Red Hat is still running independently and making its own acquisitions, too. As the company today announced, it has acquired Tel Aviv-based NooBaa, an early-stage startup that helps enterprises manage their data more easily and access their various data providers through a single API.

NooBaa’s technology makes it a good fit for Red Hat, which has recently emphasized its ability to help enterprise more effectively manage their hybrid and multicloud deployments. At its core, NooBaa is all about bringing together various data silos, which should make it a good fit in Red Hat’s portfolio. With OpenShift and the OpenShift Container Platform, as well as its Ceph Storage service, Red Hat already offers a range of hybrid cloud tools, after all.

“NooBaa’s technologies will augment our portfolio and strengthen our ability to meet the needs of developers in today’s hybrid and multicloud world,” writes Ranga Rangachari, the VP and general manager for storage and hyperconverged infrastructure at Red Hat, in today’s announcement. “We are thrilled to welcome a technical team of nine to the Red Hat family as we work together to further solidify Red Hat as a leading provider of open hybrid cloud technologies.”

While virtually all of Red Hat’s technology is open source, NooBaa’s code is not. The company says that it plans to open source NooBaa’s technology in due time, though the exact timeline has yet to be determined.

NooBaa was founded in 2013. The company has raised some venture funding from the likes of Jerusalem Venture Partners and OurCrowd, with a strategic investment from Akamai Capital thrown in for good measure. The company never disclosed the size of that round, though, and neither Red Hat nor NooBaa are disclosing the financial terms of the acquisition.

Cognigo, a startup that aims to use AI and machine learning to help enterprises protect their data and stay in compliance with regulations like GDPR, today announced that it has raised an $8.5 million Series A round. The round was led by Israel-based crowdfunding platform OurCrowd, with participation from privacy company Prosegur and State of Mind Ventures.

The company promises that it can help businesses protect their critical data assets and prevent personally identifiable information from leaking outside of the company’s network. And it says it can do so without the kind of hands-on management that’s often required in setting up these kinds of systems and managing them over time. Indeed, Cognigo says that it can help businesses achieve GDPR compliance in days instead of months.

To do this, the company tells me, it’s using pre-trained language models for data classification. That model has been trained to detect common categories like payslips, patents, NDAs and contracts. Organizations can also provide their own data samples to further train the model and customize it for their own needs. “The only human intervention required is during the systems configuration process, which would take no longer than a single day’s work,” a company spokesperson told me. “Apart from that, the system is completely human-free.”

The company tells me that it plans to use the new funding to expand its R&D, marketing and sales teams, all with the goal of expanding its market presence and enhancing awareness of its product. “Our vision is to ensure our customers can use their data to make smart business decisions while making sure that the data is continuously protected and in compliance,” the company tells me.