Specialist engineers delivering perception, autonomy, and control software, engineered for the hardware it runs on and shipped on the schedule your program depends on.
US-based. ITAR-ready. Founded in 2011.
Software that runs on a robot, a drone, a vehicle, or a medical device is judged by what the machine does, not by what the code does in a test environment. When it’s wrong in the field, the fix is slower and more expensive, and your customer sees it. That’s the case for defense platforms, production lines, farms, and patients.
That is the standard behind every system we build. It means software built and tested against the hardware it will run on, under the conditions it will face, and delivered on the schedule the program depends on. It shapes how we hire, how we architect systems, how we validate software, and how we plan delivery with customers whose launch dates and program milestones depend on the software being ready.
It didn’t start with a grand plan.
The early work kept pulling us in the same direction, toward systems that were more complex, more integrated, and less forgiving. The kind where everything has to come together: embedded firmware, real-time systems, computer vision, AI/ML.
Over time, that’s where we chose to go deeper. Not any one layer, but getting the whole system to work the way it should.
Some of the early projects included NASA-funded research on multi-robot coordination, operator control for military robot fleets, and industrial automation that had to run around the clock. Each one pushed things a little further, and that carried into the next.
More than a decade in, that depth is built in. It shapes how we hire, how teams are structured, and how systems get designed from day one.
Customers usually come to us with programs that span embedded, perception, autonomy, and operator control, and need one team that can own all of it. That same experience carries into everything we build.
Most firms start by scoping the work. We start by verifying the problem is worth solving. A wrong technical decision costs the least to fix before the architecture is set, and the most after the hardware ships.
Identify the real problem beneath the stated requirement.
Stress-test assumptions before they become architecture.
Chart every failure mode and constraint boundary.
Build and test against the target hardware and real operating conditions.
Ship production systems that perform under real conditions.
“There’s a class of software where being almost right is the same as being wrong. That’s the work we take on. We built this firm as a 100% American company so that the programs other teams won’t touch have somewhere to go, and so that the engineers who want to work on the hard ones have somewhere they can be trusted with the most sensitive work.”
Brian Geisel Founder & CEO
We structure teams around the system. Perception and computer vision for Think. Autonomy and real-time systems for Decide. Operator control and human-machine teaming for Act. Embedded systems and AI/ML cut across all three.
Each area is led by engineers who work in that domain every day, with teams behind them that specialize in the same layers. You’re not relying on one person to cover the stack. You’re getting depth where it actually matters.
This is the work we’ve shipped for NASA, Teledyne FLIR, the world’s largest manufacturer and operator of industrial mobile robotics, defense unmanned systems primes, and medical device companies building under IEC 62304. These are systems that have to work outside the lab.
All work stays within US-based teams and infrastructure, headquartered in Worcester, Massachusetts, and ITAR-ready by structure. No offshore subcontracting, no IP exposure, no time zone friction, and no rotating bench of contractors swapped in mid-project.
The earlier we see the problem, the more options you have for solving it. Bring the problem, the constraints, and the thinking behind your current approach. We’ll help you pressure-test the path forward before any statement of work is written.