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led the investment which also included participation from Dutch early-stage venture capital firm and London-based firm . The funding brings Goodlord’s since its 2014 inception to about $33 million.

The news is especially meaningful considering the company saw its CEO depart and laid off nearly 40 employees just over two years ago, according to .

Co-founder started the company in 2014 after becoming frustrated with the inefficiencies in the tenancy process. (co-founder of , founding director of another proptech company, ) took the helm as CEO in early 2018.

Goodlord’s SaaS (software as a service) platform aims to make the rental process smoother and more efficient for landlords, leasing agents and renters alike. It handles a wide range of services from contracts to references to payments.

In its own words, Goodlord’s mission is to make renting simple and transparent for everyone involved.

The company certainly seems to have rebounded since that turbulence two years ago. COO Mundy said Goodlord has seen “the number of tenancies it processes” accelerate from about 20 percent to more than 90 percent year over year in 2019. Without providing specifics, Goodlord said its number of users doubled over the last year. Meanwhile, headcount more than doubled to 97 from about 47 a year ago. The company declined to comment on annual recurring revenue.

Over the past year, Goodlord has introduced new products and platform updates. It also has expanded its service to cover corporate lets, brought in extended insurance provisions and introduced virtual banking technology for customers.

Looking ahead

Goodlord plans to use its new capital to double its client base and expand its suite of products. It also plans to hire more engineering, product and customer-facing staff.

Julian Rowe from Latitude Ventures, who is joining the Goodlord board, said in a written statement that the startup has the potential to be “one of the UK’s most successful property technology companies.

“For many people under the age of 40 the rental market is the housing market and Goodlord is passionate about modernising it for millions of people,” he added. “By creating software that increases the professionalism of letting agents and reduces the stress of finding and securing a home to rent, Goodlord is supplying an essential service to meet a key need.”

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At a certain level of computational complexity, regular central processing units don’t cut it. They’ll do the math just fine, but they’ll take a long time to do it. Graphics cards were designed for massively parallel computing operations, like rendering and driving the multiplying number of pixels on our ever-denser visual displays; and it just so happens that that architecture is well-suited to doing machine learning math quickly.

But there are plenty of applications where running a bunch of graphics processing units (GPU) in a data center is not practical. Take an autonomous vehicle for example: It doesn’t make sense to pipe all the data streaming off the onboard cameras and LIDAR sensors up to a cloud service, wait for it to process, and then get piped back into a car’s onboard computer. At 60 miles and hour, that kind of latency could be lethal.

As the world becomes more data-driven and our tech uses inference to be more responsive, a new generation of computer chips is required to make all the math-magic happen. At a certain scale of computational complexity, or in situations where electrical consumption has to be kept to a minimum, GPUs don’t cut it either.

Headquartered in Tel Aviv, Israel, is one of several companies vying for its spot in the competitive market for specialized artificial intelligence chips built for computing on the edge: automotive applications, mobile devices, AI-augmented home devices and industrial use cases.

Today the company announced that it’s raised $60 million in Series B funding. The round was led by existing backers but saw participation from new strategic investors including the venture arm of robotics and automation company , Japanese IT conglomerate and London-based VC .

The company says that its new funding will “bolster the ongoing global rollout of its breakthrough Hailo-8 Deep Learning chip and to reach new markets and industries worldwide.”

Hailo says its chip is capable of up to 26 trillion operations per second while drawing less than 5 watts at full utilization. supports popular machine learning frameworks like and and meets several compliance standards for automotive applications.

According to the company, the chip’s “Structure-Defined Dataflow Architecture translates into higher performance, lower power, and minimal latency, enabling more privacy and better performance for smart devices operating at the edge, including partially autonomous vehicles, smart cameras, smartphones, drones and AR/VR platforms.”

“This immense vote of confidence from our new strategic and financial investors, along with existing ones, is a testimony to our breakthrough innovation and market potential,” said , CEO and co-founder of Hailo. “The new funding will help us expedite the deployment of new levels of edge computing capabilities in smart devices and intelligent industries around the world, including areas such as mobility, smart cities, industrial automation, smart retail and beyond.”

Since its inception in February 2017, the company has raised $88 million in total funding, inclusive of the round announced today. In January 2019, the company closed led by Chinese venture firm . No additional details about the company’s revenue or valuation was disclosed.

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