Multi-modal sensing
Sensor research, design, characterization, calibration, integration, and validation — accurate, fast, repeatable measurement in the field. 2D image sensors, 3D stereo, time-of-flight, lidar, radar, and ultrasonic sensing.
Whisker Arrow Technologies LLC
Advanced sensors, edge compute, and on-device AI.
We build sensing systems that produce measurements you can trust — characterized, calibrated, and validated to work outside the lab. We partner with university research groups to carry that work from prototype to commercialized product.
Capabilities
Sensing programs fail between disciplines more often than within any one. We work them the way they have to be run — product, program, hardware, software, systems, applied science, and QA in a single loop.
Edge compute platforms
Embedded compute for synchronized sensor control, high-bandwidth data paths, and real-time processing at the edge — on embedded Linux, RTOS, bare metal, and FPGA systems.
On-device fusion and AI
Image signal processing, computer vision, multi-sensor fusion, and inference optimized for onboard GPU and hardware accelerators — perception that holds under latency, power, and thermal limits.
Productization and scale
QA processes, hardware-in-the-loop test automation, manufacturing validation, and functional-safety certification. Fleet provisioning, deployment, monitoring, and field service on AWS IoT.
Where we work
The domains differ; the underlying problem does not. Each needs a sensor whose readings can be trusted, deployed outside a lab, running unattended.
Scientific instrumentation
Sensing for advanced materials characterization and measurement systems.
Infrastructure integrity
Defect detection for railway and built infrastructure.
Environmental sensing
Unattended, long-duration monitoring in the field.
Robotics and autonomy
Real-time perception under latency, power, and safety constraints.
Leadership
Jing Ma
Founder & CEO
Jing founded Whisker Arrow after 14 years building sensing and edge-compute systems, most recently as Head Engineering Manager, Software & Systems at Amazon Robotics, where she led an internal startup from concept to scaled production. She built that organization from zero to 50 people, spanning software, firmware, hardware, optics, systems, QA, and applied science. The program delivered a common sensing and compute platform across five sensor types and three edge computers, reaching 18,000+ devices across 21 production sites. Earlier, she architected the embedded software and calibration for a 3D stereo camera, and delivered RTOS-based functional-safety features enabling IEC 61508 certification. MS Electrical Engineering, Stanford University. BEng Electrical Engineering with First Class Honours, National University of Singapore.
Working with research groups
We collaborate with university investigators on federal and state research programs, including SBIR and STTR. Our contribution is the path from technology to commercialization.
Co-developing the submission
We own the commercialization and productization narrative — the sections where strong science most often loses points.
Prototype to system
Hardware and embedded software as one system — sensor integration, calibration, design for manufacture, and the test infrastructure a repeatable instrument requires.
Field and fleet
Field validation, hardware-in-the-loop automation, provisioning, and monitoring for instruments that run unattended.
Start a conversation
If you are preparing a proposal that needs an industry partner, or evaluating whether a sensing result can become a deployable instrument, we would like to hear about it.
[email protected]whiskerarrow.com
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