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Flix Systems

by Martin GarciaLaunched 2016via Nathan Latka Podcast
See all Hardware companies using enterprise direct sales →
Growthenterprise direct sales
Pricingusage-based
The Spark

Martin Garcia came to drones from a background in mechatronics and solar energy. After working as CTO on solar technology at a previous company, Lumexico, he studied for a master's degree in the UK, where his thesis became the foundation of his business model: automating UAVs. A summer program at Singularity University had convinced him that material science, computer algorithms, and sensors would drive UAVs to grow very quickly at low cost.

Building the First Version

Martin's thesis is that the value of a drone lies in its payload and the intelligence built on top of it. Flix Systems set out to combine its own hardware with software and algorithms, so its drones could do more than fly off-the-shelf DJI models can. The company's biggest planned differentiator is a landing platform that swaps batteries, shelters the UAV from weather, and lets it operate remotely. By 2017 the company was still preoperative and building prototypes with roughly $100,000 raised, "about two million pesos."

Finding the First Customers

Flix Systems' early revenue came from service work rather than drone sales. Martin said the company was "providing a service" to a solar company, a separate business he described as a client. The company was also preparing a precision agriculture prototype to send to several states in Mexico. Its initial project covered about 300 hectares at roughly $15 to $20 per hectare, a pilot Nathan estimated at about $6,000. Martin did not state a revenue figure for the first month, and the company did not sell the drones themselves, because it wanted to optimize the product and keep control of the technology.

What Worked (and What Didn't)

The strongest point in Martin's approach is his focus on interpretation rather than raw data. He argued that customers want "the end solution and not only the data," with AI used to read the images the drones collect. Mexico's looser drone regulations and smaller operator pool also gave him room to move. The weak points were visible in the interview: the team was only three or four people, the revenue was spread across side projects, and when Nathan asked why DJI or a competitor couldn't simply hire salespeople in Mexico, Martin's answer was less direct than the question required. Nathan also pushed him on why he was taking on hardware at all when his advantage appeared to be in software.

Where They Are Now

As of the interview, Flix Systems was generating early revenue through a solar client and a planned agriculture pilot, with the autonomous drone and landing platform still in development. Martin said he would be getting married later that year. Nathan planned to check back on the company as it grew.

Why It Worked
  • •Flix Systems' revenue came from paid services to clients rather than from selling hardware, which lets a small, capital-light team earn money while the product is still being built.
  • •Pricing per hectare ties revenue to the size of the customer's land, so each project scales directly with the work and the client's need.
  • •Targeting Mexico, where regulation was looser and fewer operators existed, gave a small startup a more open market than the strict US environment.
  • •Martin's focus on turning drone data into finished answers for customers targets a gap that large hardware makers like DJI, which mainly sell generic products, have not filled.
How to Replicate
  • 1.Start by selling a paid service that uses existing drones or hardware, so you earn money and learn customer needs before you build your own product.
  • 2.Price the service per unit of work, such as per hectare, so pilot projects can be sized and priced clearly.
  • 3.Pick a regional market with lighter regulation and fewer competitors to test your idea before expanding.
  • 4.Sell the finished insight or solution rather than raw data, and use AI to interpret the output for the customer.
  • 5.Build the hardware only where it gives you a clear edge, such as a custom payload or landing platform, and keep the software and service layer as the core of the business.

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AI-extracted from the linked source. Monthly revenue can include one-time sales or donations, and may describe a later stage than the first-customer story.