Once the machine is in the field, there is no patch window and no happy path. We build the systems that think, decide, and act. For NASA. For Teledyne FLIR. For the world’s largest manufacturer and operator of industrial mobile robotics.
Most software gets a second chance. A bad deployment rolls back. A slow API gets patched. A failed release gets a hotfix. The software we build doesn’t get a second chance, and neither do the systems running it. Our clients don’t measure failures in downtime metrics. They measure them in missions aborted, fleets grounded, patients at risk.
That constraint shapes how we work. How we review. How we test. How we push back. When a design introduces risk the spec didn’t account for, we say so. Zero-failure engineering isn’t an add-on. It’s the first standard we operate by.
From pilot to production →Defense & Aerospace. Industry 4.0. Medical Technology. AgTech. Different industries. One standard: zero-failure engineering.
Autonomous coordination for a NASA lunar mission. Real-time embedded control for military UGVs. Warehouse robotics at fleet scale. The pedigree travels to every program.
Strategy. Embedded & real-time. AI, autonomy & robotics. Operator interfaces & mission systems. No handoffs between firms, no integration gaps.
Our entire team is US-based. No offshore IP exposure. Fully compliant with ITAR and defense program security requirements.
We start by verifying you’re solving the right problem. When the cost of a wrong decision is measured in missions, fleets, or patients, the wrong problem solved perfectly is still the wrong outcome.
A principle is only as strong as the methodology that enforces it. The Ground Truth Framework is how we operationalize zero-failure engineering: five named phases that move from problem definition through to deployed software. Surface. Challenge. Map. Engineer. Execute. Every engagement runs this way, regardless of industry or scope.
Our forward-deployed engineers embed with your team and close the gap to production. One more way to work with us, alongside our standard engagements.
Forward-deployed engineering →We write the software that makes complex systems work. Perception that turns sensor input into something a controller can trust. Autonomy that runs on the device when the cloud isn’t reliable, and operator control for the cases where a human stays in or on the loop. Production code for systems where the constraints are real and the deployment isn’t a sandbox, robots, drones, medical devices, unmanned platforms, and the data pipelines and ML systems that support them.
Think (perception, sensor fusion, edge inference), Decide (on-device autonomy, path planning, behavior systems), and Act (operator control, teleoperation, human-machine teaming). Each capability led by engineers who’ve shipped this work into production, not learned it on yours.
Computer vision and CUDA-accelerated inference engineered to run on NVIDIA Jetson, ROS 2, and embedded Linux. The first capability your robot needs is the one that lets it see and understand the world.
explore Think →Path planning, behavior trees, and ROS 2-based autonomy stacks for robots, drones, and connected devices. The decision layer between perception and action, running on the device, not in the cloud.
explore Decide →Operator control software, teleoperation, drone ground control, and on-device execution. The layer where systems perform in the world, autonomously or under operator direction.
explore Act →Sometimes the most important work happens before development begins.
Before budgets are committed and code is written, we help define the right approach. Our Strategic Consulting brings senior engineering judgment to the decisions that shape your system from day one:
The same engineers behind systems for NASA, Teledyne FLIR, and the world’s largest manufacturer and operator of industrial mobile robotics, helping you reduce risk, avoid rework, and move forward with confidence.
Talk to the Team →NASA needed high-fidelity training data to help autonomous rovers navigate Mars. That data couldn’t be collected in the real world. So we built physics-based simulations that generate photorealistic terrain imagery with ground truth built in. That technology became Symage.
Today, Symage generates high-fidelity synthetic image, document, and tabular data with deterministic ground truth built directly into the generation process. Not inferred after the fact. The result: pixel-perfect labels, coherent data relationships, and production-grade training data. Eliminate manual labeling, reduce compliance risk, and cover the edge cases reality rarely provides.
The software that lowers three rovers from their lander to the Moon, plus the ground control interface for the multistatic radar they carry.
Deployment happens once, across a link that rules out real-time intervention from Earth. Geisel built both systems CADRE depends on to get its rovers down and put their radar to work.
A tablet controller that lets one operator direct a fleet of bomb-disposal robots and unmanned aircraft, built against a U.S. Army deadline that could not move.
An operator takes control of one UGV, hands it off, and moves to an unmanned aircraft without switching systems. Geisel built the interface, cut video latency, and shipped it in six months.
Scaling and hardening the Farm Manager control software behind ECO 1, a 300,000 square foot hydroponic farm in Dubai.
The crop doesn’t wait. Geisel scaled Crop One’s Farm Manager from a research farm to thousands of pumps, valves, and sensors across more than 20 growth units, polled every 30 seconds.
Autonomous UAVs streaming live video and sensor data to a unified command platform before responders reach the scene.
One interface fusing UAV, camera, and sensor feeds over cellular, with LiDAR-based obstacle avoidance and path planning.
We don’t start with scope. We start with the problem: what you’re trying to build, how to de-risk it, and whether there’s a faster, simpler, or more cost-effective path, before a dollar gets committed to a spec. That’s the rigor of a team that’s built and shipped complex systems, repeatedly.