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Founders on the tech frontier show off their gadgets

Four founders of companies on the tech frontier got together this week at a Seattle conference for a show-and-tell about the hardware at the heart of their businesses. And like any good show-and-tell, their talks touched on strategy as well as gadgetry.

For example, consider the laser-powered weed zapper pioneered by Seattle-based Carbon Robotics. The LaserWeeder system takes advantage of optical sensors and artificial intelligence to identify and target the weeds among the crops as the robotic rig is pulled through a field. Carbon Robotics’ founder and CEO, Paul Mikesell, held up one of the LaserWeeder’s scanners during Monday’s DeepTech session at the downtown office of K&L Gates.

“We have it set up so this camera can see exactly what the laser shooting this way is going to hit, and every time we turn on that laser, the same pixel area in the camera is going to explode and blow up,” he said. “This device reminds me of a lot of science and technology that we had to tackle, but also, there’s a lot of pain that went into this thing.”

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Starcloud raises another $10M for data centers in space

Redmond, Wash.-based Starcloud got its start just last year under a different name — Lumen Orbit — but the newly renamed company is already filling out its seed funding round with $10 million in fresh investment for space-based data centers.

The new influx of capital comes after December’s announcement that the startup brought in $11 million from investors including NFX, Y Combinator (or YC, for short), FUSE, Soma Capital and scout funds from Andreessen Horowitz and Sequoia. Starcloud graduated from Y Combinator’s summer cohort last year.

The additional funding comes from previous seed investors and several new venture capital firms in the form of a simplified agreement for future equity, or SAFE. If you add up the $11 million and the $10 million, “it can be thought of as a $21M seed, which is one of the highest-ever seed rounds for a company coming out of YC,” Philip Johnston, Starcloud’s CEO and one of its founders, told GeekWire in an email. Johnston said Starcloud doesn’t intend to identify the new investors until a Series A funding round takes place.

Starcloud’s big idea is to place a network of megawatt-scale computer servers in Earth orbit, powered by grids of solar panels that could stretch as much as 2.5 miles (4 kilometers) in width. Such space-based facilities would offer alternatives to terrestrial data centers that are taking up increasing amounts of territory, gobbling up increasing amounts of power, and stirring up increasing levels of controversy.

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Lumen Orbit raises $2.4M to put data centers in space

Bellevue, Wash.-based Lumen Orbit, a startup that’s only about three months old, says that it’s closed a $2.4 million pre-seed investment round to launch its plan to put hundreds of satellites in orbit, with the goal of processing data in space before it’s downloaded to customers on Earth.

The investors include Nebular, Caffeinated Capital, Plug & Play, Everywhere Ventures, Tiny.vc, Sterling Road, Pareto Holdings and Foreword Ventures. There are also more than 20 angel investors, including four Sequoia Scouts investing through the Sequoia Scout Fund. “The round was 3x oversubscribed,” Lumen CEO and co-founder Philip Johnston told GeekWire in an email.

Johnston is a former associate at McKinsey & Co. who also co-founded an e-commerce venture called Opontia. Lumen’s other co-founders are chief technology officer Ezra Feilden, whose resume includes engineering experience at Oxford Space Systems and Airbus Defense and Space; and chief engineer Adi Oltean, who worked as a software engineer at SpaceX’s Starlink facility in Redmond, Wash.

“We started Lumen with the mission of launching a constellation of orbital data centers for in-space edge processing,” Oltean explained in an email. “Essentially, other satellites will send our constellation the raw data they collect. Using our on-board GPUs, we will run AI models of their choosing to extract insights, which we will then downlink for them. This will save bandwidth downlinking large amounts of raw data and associated cost and latency.”