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How one founder identified a huge healthcare gap and acquired the skills necessary to address it

Our new podcast Found is now available, and the first episode features guest Iman Abuzeid, co-founder and CEO of Incredible Health. Abuzeid’s story of founding and building Incredible Health, a career platform for healthcare professionals focusing specifically on nurses, is all about a focused entrepreneur building a unique skill set, and acquiring the experience necessary to create a world-leading solution.
Abuzeid went to medical school and acquired her MD, but decided before residency to instead go get an MBA from Wharton, in order to pursue her dream of entrepreneurship, inspired by two generations of entrepreneurs in the family that …

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Bluu Biosciences raises cash to become Europe’s first purveyor of lab grown salmon, trout, and carp

A startup from Europe is joining the race to become the first big provider of lab grown fish.
Bluu Biosciences has raised €7 million in a round of financing from investors including Manta Ray Ventures, Norrsken VC, Be8, CPT Capital and Lever VC to compete with a host of startups like BluNalu, Wild Type, and Shiok Meats in a bid to market with a lab-grown fish replacement.
The market for sustainable fish is huge and growing. Already, concerns over the effects of overfishing and industrial fish farming are mounting as demand for fish increases. It’s the same problem that other …

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Microsoft debuts its AR/VR meetings platform Mesh

Today, at a special AR/VR focused event held inside its virtual reality community platform Altspace, Microsoft showcased a new product aiming to provide their AR HoloLens platform and VR Windows Mixed Reality platform with a shared platform for meetings.
The app is called Microsoft Mesh and it gives users a cross AR/VR meeting space to interact with other users and 3D content, handling all of technical hard parts of sharing spatial multi-player experiences over the web. Like Microsoft’s other AR/VR apps, the sell seems to be less in the software than it is in enabling developers …

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Maestro nets $15 million for its interactive commerce, community and engagement tools for livestreams

Making money on livestreams has never been easier thanks to a suite of tools from the Los Angeles-based startup Maestro, which just nabbed $15 million in financing to grow its business.
As video commerce becomes the norm and entertainers, brands, businesses, and franchises of all sizes and stripes look to cut out the middle man, the array of services on offer from Maestro may be the scissors these entities need to cut the cord.
The company has already worked with names as diverse as the Golden State Warriors, the Dallas Cowboys, and pop sensation Billy Eilish on embedding its interactive tools …

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Kleeen raises $3.8M to make front-end design for business applications easy

Building a front-end for business applications is often a matter of reinventing the wheel, but because every business’ needs are slightly different, it’s also hard to automate. Kleeen is the latest startup to attempt this, with a focus on building the user interface and experience for today’s data-centric applications. The service, which was founded by a team that previously ran a UI/UX studio in the Bay Area, uses a wizard-like interface to build the routine elements of the app and frees a company’s designers and developers to focus on the more custom elements of an application.

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Atlassian launches a whole new Trello

Trello, the Kanban board-centric project management tool acquired by Atlassian in 2017, today launched what is likely one of its most important updates in recent years. With significantly more than 50 million users, Trello is one of the most popular project management tools around ,and in many ways, it brought digital Kanban boards to the mainstream. That focus doesn’t change with today’s release, but the team is now adding a slew of new board views and new capabilities to the individual cards that make up those views, with a special focus on bringing more data from third-party tools right into …

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Gowalla raises $4 million from GV and Spark for its AR social app

The newly resurrected Gowalla wants to realize its mobile dreams from the early-aughts in an augmented reality world, and they’ve raised some new funding to make it happen.
The AR startup tells TechCrunch that it has raised $4 million in seed funding co-led by Google’s venture arm GV and Spark Capital. Other investors include Niantic, Upside Partnership, Otherwise Fund, Capital Factory, Form Capital and a host of angels like April Underwood, Leah Culver, Jason Calacanis, John Lilly, Scott Belsky, Dennis Crowley, and Dave and Brit Morin at Offline Ventures.
Gowalla was originally founded back in 2009 as a Foursquare competitor, …

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Fifth Wall adds new partner as it seeks at least $200 million for a new climate impact fund

When it first launched nearly three years ago, Fifth Wall had a vision of leveraging capital limited partners from across the real estate development and construction business to back the technologies the industry needed most.
That early vision resonated so well, that the firm has grown from managing one fund of $212 million to holding roughly $1.2 billion in assets under management. It has also come to the realization that the investment vehicles they’re currently managing have one huge blind spot — climate-related technologies.
With that deficit in mind, the firm has set out to raise a new climate-focused investment vehicle with …

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Govtech intelligence platform, The Atlas for Cities, bought by Government Executive Media Group

The Atlas for Cities, the 500 Startups-backed market intelligence platform connecting tech companies with state and local governments, has been acquired by the Growth Catalyst Partners-backed publishing and market intelligence company Government Executive Media Group.
The San Diego-based company will become the latest addition to a stable of publications and services that include the Route Fifty, publication for local government and the defense-oriented intelligence service, DefenseOne.
The Atlas provides peer-to-peer networks for state and local government officials to share best practices and is a marketing channel for the startups that want to sell services to those government employees. Through The Atlas, …

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Abacus.AI raises another $22M and launches new AI modules

AI startup RealityEngines.AI changed its name to Abacus.AI in July. At the same time, it announced a $13 million Series A round. Today, only a few months later, it is not changing its name again, but it is announcing a $22 million Series B round, led by Coatue, with Decibel Ventures and Index Partners participating as well. With this, the company, which was co-founded by former AWS and Google exec Bindu Reddy, has now raised a total of $40.3 million.

Abacus co-founder Bindu Reddy, Arvind Sundararajan and Siddartha Naidu. Image Credits: Abacus.AI

In addition to the new funding, Abacus.AI is also launching a new product today, which it calls Abacus.AI Deconstructed. Originally, the idea behind RealityEngines/Abacus.AI was to provide its users with a platform that would simplify building AI models by using AI to automatically train and optimize them. That hasn’t changed, but as it turns out, a lot of (potential) customers had already invested into their own workflows for building and training deep learning models but were looking for help in putting them into production and managing them throughout their lifecycle.

“One of the big pain points [businesses] had was, ‘look, I have data scientists and I have my models that I’ve built in-house. My data scientists have built them on laptops, but I don’t know how to push them to production. I don’t know how to maintain and keep models in production.’ I think pretty much every startup now is thinking of that problem,” Reddy said.

Image Credits: Abacus.AI

Since Abacus.AI had already built those tools anyway, the company decided to now also break its service down into three parts that users can adapt without relying on the full platform. That means you can now bring your model to the service and have the company host and monitor the model for you, for example. The service will manage the model in production and, for example, monitor for model drift.

Another area Abacus.AI has long focused on is model explainability and de-biasing, so it’s making that available as a module as well, as well as its real-time machine learning feature store that helps organizations create, store and share their machine learning features and deploy them into production.

As for the funding, Reddy tells me the company didn’t really have to raise a new round at this point. After the company announced its first round earlier this year, there was quite a lot of interest from others to also invest. “So we decided that we may as well raise the next round because we were seeing adoption, we felt we were ready product-wise. But we didn’t have a large enough sales team. And raising a little early made sense to build up the sales team,” she said.

Reddy also stressed that unlike some of the company’s competitors, Abacus.AI is trying to build a full-stack self-service solution that can essentially compete with the offerings of the big cloud vendors. That — and the engineering talent to build it — doesn’t come cheap.

Image Credits: Abacus.AI

It’s no surprise then that Abacus.AI plans to use the new funding to increase its R&D team, but it will also increase its go-to-market team from two to ten in the coming months. While the company is betting on a self-service model — and is seeing good traction with small- and medium-sized companies — you still need a sales team to work with large enterprises.

Come January, the company also plans to launch support for more languages and more machine vision use cases.

“We are proud to be leading the Series B investment in Abacus.AI, because we think that Abacus.AI’s unique cloud service now makes state-of-the-art AI easily accessible for organizations of all sizes, including start-ups,” Yanda Erlich, a p artner at Coatue Ventures  told me. “Abacus.AI’s end-to-end autonomous AI service powered by their Neural Architecture Search invention helps organizations with no ML expertise easily deploy deep learning systems in production.”

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