SQUAD builds every layer of your robotics product: firmware, ROS integration, fleet backends, and OTA. Our depth is in vision: camera and optics selection; ISP tuning; detection that holds frame rate on target silicon; telemetry that keeps deployed units visible. Hardware is validated in our own labs before production.
Engineers
Projects shipped
App releases
In-house R&D lab
Devices launched
AI features shipped
One team owns all layers of robotics product development. Nothing gets lost between vendors. Radio performance is tested in-house,
in a dedicated RF and antenna test room.
The target SoC’s compute and power limits define what a robot can see. We tune detection models, sensor fusion, and visual inspection pipelines to run within that budget on Qualcomm, Ambarella, SigmaStar, and OmniVision platforms.
Constrained hardware leaves no room for waste. Our engineers handle real-time control, sensor and optics integration, connectivity, power management, and secure provisioning, from board bring-up to production release.
If your stack runs on ROS, we extend it with custom nodes, drivers for new sensors and actuators, and integration with the navigation stack.
A robot you can’t update is a product you may have to recall. We build telemetry ingestion, remote diagnostics, and secure OTA update systems that keep fleets recoverable and feed inspection data into your WMS, ERP, or analytics stack.
Operators need live views, device control, alerts, and a clear way to handle exceptions without having to call support. Our iOS, Android, and web teams have developed 200+ app releases for connected-device products.
Before a product reaches tooling, we test thermal behavior, image quality, RF and antenna performance, reliability, and automated regression coverage. This happens in our own 6,500 m² labs, where hardware issues are faster and cheaper to fix.
Robotics programs stall on perception, localization, and fleet visibility once the robot leaves the building. That’s where we focus first.
Robotics programs stall on perception, localization, and fleet visibility once the robot leaves the building. That’s where we focus first.
On-board logs show what the robot believed was happening, but that’s not always reliable when behavior breaks in the field. SQUAD builds external camera-based monitoring systems that capture what happens during acceptance testing, validation runs, or live fleet operations. Pairing this outside-in view with the robot’s own inside-out sensor data gives one timeline of what it perceived and what happened. It helps pinpoint if a failure came from perception, planning, or the environment.
sensor selection, a perception pipeline that misses frame rate, or a fleet you can't update.
We'll show you what it takes to move forward.
Robotics consulting and development start where your robotics program is. There are no fixed entry points.
A short engagement to confirm if the product can meet your power, compute, and cost targets. You get a sensor and SoC recommendation, a system architecture, a risk register, and an effort estimate you can take to your board.
SQUAD engineers join your existing program and own a defined layer, such as perception, firmware, fleet backend, or validation. This model works when the roadmap is already set, but you need more capacity or a specific skill you’re not hiring for.
SQUAD owns the product from concept through manufacturing readiness, covering hardware, firmware, edge AI, cloud, and apps under one accountable team. This is where our labs matter most, because validation runs throughout the program.
SQUAD follows certified management systems. We design and test each robotics product against the safety standards required in its target market.
We choose the platform for each project based on your detection targets, power limits, and unit cost.
Real-time perception on constrained hardware, scalable ML pipelines, and validation that catches failures before deployment. These are some of the hardest parts of a robotics program, and SQUAD has delivered them in real products.
What separates us from a typical robotics software development company is what happens beyond the code.
Thermal, image quality, radio frequency, power, and simulation testing happen in our own labs, not at a third-party test house. We check physical behavior while the design can still change, without waiting for external lab time.
SQUAD covers optics, firmware, edge AI, cloud, and mobile under one engineering roof. When an issue appears, the same team can trace it across the full stack instead of handing it off between vendors.
We measure success by products that reach manufacturing readiness, not proofs of concept that only work in a demo. Our track record includes 900+ projects and 70+ launched devices.
Our specialists have solved perception on constrained hardware across 100+ AI features shipped in production. Robotics teams face the same challenge when cameras, models, and compute have to work together in the field.
We’ll tell you which tests our labs would run first
Software vendors validate on paper until the first prototype arrives. At SQUAD, hardware is part of the process from the first week of collaboration.
We benchmark sensor, optics, and SoC options against your detection targets and power envelope on real units in our lab, not from datasheets. The output is a decision you can defend to a board, not just a proposal.
Our team builds the perception pipeline, firmware, and backend together on target silicon. Frame rate, power draw, and thermal behavior are measured in the same sprint as the work, so the design can be rethought while changes are still cheap.
Thermal, image quality, radio frequency, power, and reliability testing run against every build. This is the stage many programs outsource to a test house and then wait weeks for it to be completed.
We freeze the design against measured test results and close open hardware risks before tooling is committed. SQUAD has taken 70+ devices through this stage.
OTA infrastructure, telemetry, and remote diagnostics keep the deployed fleet visible and recoverable. New features can ship to units already in the field.
From sensor selection to a fleet you can't update, an engineer
will review it with you.
