The sensor company that decided centimeter-accurate navigation should cost less than a nice dinner, not more than a used car.
Somewhere on Highwood Drive, a circuit board the size of a matchbook is being shaken, heated, and spun on a test rig. It is reporting its position to within a few centimeters. It costs a fraction of what the equipment doing the shaking costs.
This is ACEINNA's normal Tuesday. The company designs MEMS sensors - the tiny mechanical-electrical chips that tell a machine how fast it is turning, how hard it is accelerating, how much current is flowing through it, and where on Earth it happens to be. Drones, robots, tractors, electric chargers, and self-driving cars all need this information. Most of them used to pay dearly for it.
ACEINNA's whole reason for existing is a stubborn argument with that price tag.
For decades, if you wanted truly accurate inertial navigation - the kind that keeps working when GPS drops out in a tunnel - you bought it from the aerospace and defense world. The systems were excellent. They were also bulky, closed, and routinely priced north of $10,000.
That math works fine for a missile or a survey aircraft. It falls apart the moment you try to put navigation into every delivery robot, every farm vehicle, every ADAS-equipped sedan rolling off a line. You cannot bolt a five-figure box onto a product that needs to sell by the million.
The industry's answer was, essentially, "wait." ACEINNA's founders found that answer unsatisfying.
In late 2017, MEMSIC - the MEMS company Dr. Yang Zhao founded back in 1999 and took public on NASDAQ - sold off its consumer sensor business. What remained was the interesting, higher-value engineering: inertial navigation, current sensors, and thermal flow sensors. Zhao and the team spun that into a new company, ACEINNA, and backed it with roughly $50 million from the founders and IDG Capital.
The bet had two halves. First: drive the cost of high-performance IMUs down hard enough to open markets that legacy vendors had written off. Second, and stranger for a hardware company - make the platform open source. Publish the firmware. Hand engineers the code that runs inside the sensor.
It was a calculated heresy. If you believe your edge is performance-per-dollar and time-to-market, opening the platform isn't a giveaway - it is a recruiting drive for everyone who would rather build than reverse-engineer.
A high-performance inertial measurement unit whose firmware and algorithms are public. Ships with a dev studio, a VS Code extension, and a ROS driver for robots.
RTK dual-frequency GNSS plus triple-redundant inertial sensors. Centimeter-level accuracy for ADAS and AVs - under $500, where rivals charge $10,000+.
A compact RTK/INS module around the $150 mark, built to retire the bulky precision systems autonomous platforms used to depend on.
Multi-MHz bandwidth, magneto-resistance (AMR) current sensors in a single-chip form factor - aimed at power conversion and EV charging.
Pictured in spirit: four product lines, zero patience for the phrase "that'll cost ten grand."
Dr. Yang Zhao starts the parent company - later the first pure-play MEMS firm on NASDAQ, with sensors in 600M+ phones.
The high-growth inertial, current, and flow sensor lines become a new company focused on autonomy.
Funding from founders and IDG Capital closes; OpenIMU wins Frost & Sullivan's global IMU innovation award.
ACEINNA ships a high-precision RTK solution priced against $10,000 systems, and releases an OpenIMU ROS driver.
A cm-level INS + GNSS/RTK turnkey solution for AVs and ADAS, under $500, with triple-redundant sensors.
ACEINNA's pitch is not subtle. The clearest evidence is the price column. Here is the cost of a high-precision navigation solution, legacy versus ACEINNA.
Bars not to perfect scale, because a true-scale $150 next to $10,000 would be a sliver you'd need a microscope to find - which is, in fairness, also the point.
ACEINNA's stated aim is unglamorous in the best way: high-performance MEMS sensing - inertial, navigation, current - that is accurate, reliable, and cheap enough to deploy at scale. Functional safety is part of the contract; the inertial systems are built with automotive standards like ISO 26262 in mind, because a navigation system that fails quietly is worse than one that costs too much.
The open-source posture is the mission made tangible. Hand a robotics team the OpenIMU firmware and a ROS driver, and you have not just sold a part - you have removed a reason for autonomy projects to stall.
The market ACEINNA bet on is arriving on schedule. ADAS is becoming standard equipment. Farm and warehouse robots are multiplying. EV chargers need fast, accurate current sensing. Every one of these is a machine that must answer "where am I, how am I moving, how much power is flowing" - cheaply, and at volume.
That is the bet maturing. The question was never whether precision sensing would be needed everywhere. It was whether anyone would make it affordable enough to actually be everywhere.
Back on Highwood Drive, the matchbook-sized board finishes its run on the shaker. It still knows where it is to within a few centimeters. The difference between 2017 and now isn't the accuracy - it's that the board is now cheap enough to be in the tractor, the drone, and the car at the same time. That was always the plan.