Breaking profileSunflower Labs raised a $16M Series B led by SequoiaFrom Evernote to autonomous securitySwiss-built robots, Silicon Valley roots Breaking profileSunflower Labs raised a $16M Series B led by SequoiaFrom Evernote to autonomous securitySwiss-built robots, Silicon Valley roots
Founder · Robotics · Security

Alex Pachikov Built a Security Guard That Takes Off

A noise outside his house gave Alex Pachikov an idea. A pandemic nearly killed it. Now Sunflower Labs is turning autonomous drones into roaming eyes for airports, rail yards and other hard-to-watch places.

The sound arrived at night. Alex Pachikov lived beside a forest, where a crack or rustle beyond the house could be an animal, a falling branch or a person who did not belong there. A fixed camera could record one slice of the answer. Pachikov wanted the camera to go find it.

He had already spent years working on a different kind of context. Pachikov joined Evernote’s early team in 2006 and stayed for nine years, eventually serving as vice president of partnerships. The software promised to remember the fragments people otherwise lose. His next company would try to solve a more physical version of the same problem: something happened over there - what was it?

The question produced Sunflower Labs in 2016, founded with aviation engineer Chris Eheim and robotics engineer Nicolas de Palézieux. Their system joined three pieces. Outdoor sensors detected and located activity. A compact drone flew toward it. A base station, the Hive, sheltered, landed and recharged the aircraft. Instead of mounting a camera on every possible angle, they gave one camera the ability to move.

Pachikov had arrived at software by a route that did not resemble a standard business résumé. He attended the University of Colorado Boulder from 1998 to 2003, studying astronomy and sociology while participating in the Colorado Space Grant Consortium. His early work included systems administration for the consortium and a role with SGI’s Cosmo Software demonstration team. The combination put him near both technical systems and the people expected to understand them.

At Evernote, that translation job grew larger. His titles covered partnerships, business development, developer relations and hardware product integration. The work involved distribution channels and relationships with device makers, retailers and telecommunications companies. When he left at the end of 2015, he was a nine-year veteran of a company that had moved across desktop software, phones, cloud infrastructure and an expanding collection of integrations. Sunflower would demand the same habit of joining unlike parts, only now the integration had propellers, weather and airspace to contend with.

“We are good at building something that we want to use ourselves.”Alex Pachikov, 2017

The camera leaves the wall

The original pitch was “home awareness,” a phrase chosen to soften the unease attached to domestic drones. Pachikov spoke less about catching criminals than understanding activity: a car in the drive, an animal near the rubbish, someone in the back garden. He described residential crime as opportunistic. A visible drone arriving during the uncertain minutes before a break-in could signal that the visitor had been noticed.

This was not simply a quadcopter with a webcam. Autonomy turns ordinary actions into engineering problems. The aircraft needs a mapped property, a safe route, real-time obstacle detection, stable video, enough battery to reach the event and a way home. It must land with unusual precision, dock and charge without a person touching it. Weather is not an edge case when the machine lives outside.

How the Beehive response loop works A four-step diagram from detection through flight and live video to autonomous return. 01 · DETECT 02 · LAUNCH 03 · VERIFY 04 · RETURN
A security loop with no pilot in the middle: detect, launch, verify, return. The hard part is making every handoff routine.

Pachikov appears as an inventor on patents that expose the hidden machinery of that loop: distributed sensing around a property, autonomous camera dispatch, precision multicopter landing, multiple landing locations and systems that turn connected security events into natural-language descriptions. The intellectual property is a map of the company’s obsession. Every apparently simple movement contains another problem to solve.

9 yrsPachikov’s tenure on Evernote’s early team
2016Sunflower Labs founded
$16MSeries B led by Sequoia in 2025

The crate to Japan

By early 2020, the product existed and the company had shown it at CES. Then the pandemic broke the launch plan. Sunflower had aimed first at wealthy homeowners. Travel stopped. The market froze. Investor money thinned. Employees went onto reduced hours, and the founders had to consider whether years of engineering would end with three working demonstration units.

The reprieve came through a friend who connected the company to a customer in Japan. Sunflower sold one of those three systems. There was no ordinary way to install it, so the team put the entire apparatus into a large crate and sent it across the world. They commissioned it over hours of Zoom calls, scheduled in the middle of the night because of the time difference and conducted with a live interpreter.

The installation worked. More importantly, the ordeal carried information. A system conceived for a home could be deployed far from its makers. Businesses with acres of exposed ground had a sharper need than homeowners did. A rail facility, storage yard or industrial campus does not merely want another alarm. It wants fast visual confirmation at whichever corner just became interesting.

A flight path with a hard turn
2006Joins Evernote’s early team and begins a nine-year run in partnerships and product integration.
2016Co-founds Sunflower Labs around an autonomous home-awareness system.
2020Shows the system at CES, then remotely installs a scarce demo unit in Japan as the original market stalls.
2022Expands production in Stallikon and points the system toward commercial and industrial security.
2025Raises a $16 million Series B led by Sequoia to expand AI, integrations and deployment.

Sunflower’s center of gravity moved. The company established production in Stallikon near Zürich and pursued commercial and industrial sites. Swiss Federal Railways tested the system at maintenance and storage facilities. The company also built relationships with weather-data and mapping specialists and with established security businesses. The drone became less of a futuristic household object and more of an instrument in an existing security operation.

“Security is more than locks and alarms, it’s about understanding what’s happening on your property at all times.”Alex Pachikov

The two-country machine

Sunflower Labs carries two operating cultures. Its product development and manufacturing grew in Switzerland, close to a dense robotics talent pool and a tradition of careful engineering. Its largest market and much of its venture backing sit in the United States. Pachikov has described the combination plainly: the Silicon Valley mentality and capital travel in one direction; Swiss engineering and manufacturing discipline travel in the other.

The arrangement is productive, but physical technology also collides with rules in a way software rarely does. A drone crosses airspace, records video and may see beyond the property it protects. Sunflower has had to work on permission as diligently as performance. In the United States, FAA waivers have covered specified beyond-visual-line-of-sight operations, flights over people and moving vehicles, and operations in reduced visibility. In Europe, approvals remain more fragmented by country.

Privacy becomes a product feature, not a line in a policy. Pachikov has described the effort required to blur imagery outside a protected property in real time. The system must know not only where to fly but where its gaze is allowed to land. A reliable autonomous camera therefore needs several maps at once: physical obstacles, property boundaries, operational rules and human expectations.

The real stack

Hardware gets the attention. Permission and context make it usable.

Flight
Awareness
Integration
Permission

Pachikov is an unusual fit for that broad problem. At the University of Colorado Boulder, he studied astronomy and sociology - distant signals on one side, human systems on the other. At Evernote, his work centered on partnerships, developer relations and hardware integration. At Sunflower, success depends on linking sensors, aircraft, charging hardware, security software, regulators, manufacturers and customers. The job is not only inventing a drone. It is persuading an ecosystem to treat the drone as ordinary equipment.

Still flying

The 2025 financing changed Sunflower’s available runway without erasing the work ahead. Sequoia led a $16 million Series B intended to fund AI development, broader deployment and deeper connections to other security platforms. Pachikov marked the announcement with an image of the company’s latest drone in mist over a sequoia forest. He wrote that the picture captured his own mood: “A little bewildered, maybe out of my element, but still flying.”

It is an apt self-portrait for a founder whose company has repeatedly had to locate itself. The business began with an ambiguous noise and built a machine to gather context. It mistook the first market for the final one, nearly stopped during the pandemic, and found a more urgent customer on the other side of a remote installation. The system’s central behavior - notice, launch, look, return - also describes the company’s progress.

Pachikov has said he is proud that the team did not slow down when the odds were long. Persistence by itself can be a trap; hardware companies can spend years perfecting machines nobody needs. Sunflower’s more instructive choice was to preserve the technical conviction while allowing the commercial story to change. The drone stayed. The homeowner ceased to be the center. The camera that could go anywhere found its purpose in the places hardest to watch.

A decade after the first noises near the forest, the aspiration is larger but recognizably the same. Turn a weak signal into a clear picture. Get there before the moment has passed. Then land safely, recharge and be ready for whatever moves next.