Smart-City Infrastructure Inspection
A fleet of roughly 300 inspection vehicles, each with multiple cameras and an onboard Orin NX, running real-time analytics for municipal infrastructure inspection.
NVIDIA Jetson Orin Development
Build Your NVIDIA Jetson Orin Product Right the First Time
We're the software team that takes you from carrier board to fleet — creators of the open-source Savant framework, with Orin systems in production from Nano to AGX.
Free 30-minute consultation · No obligation · We reply within one business day.
Already in Production
Already Shipping on Jetson Orin
Not slideware — real fleets, the full Orin family, in the field today.
Passenger & Rail-Load Analytics
Over 300 Orin Nano edge devices analysing passenger traffic and rail-system load across a public-transport network.
Aquatic Safety Monitoring (HORECA)
On-device safety monitoring for hospitality swimming pools — all video processed locally, only results leave the device.
Autonomous Drone Mitigation
A non-military autonomous drone-detection and mitigation system protecting private residences, running fully on-device.
Industrial Security
Heavy multi-stream industrial security analytics on a single AGX Orin module.
Audience Analytics & Attention Measurement
A fleet of devices driving interactive screens, measuring viewer attention and analysing audience composition on-device — in real time, at the point of display.
Where You Are on the Path
Three Ways We Help
Build It Right
Start from scratch, or from R&D already running on a desktop or data-center GPU. We validate fit, prove it with a focused PoC, then build the production system — model, pipeline, and the sensors and controllers around it.
Optimize What Underperforms
It runs, but too slow, too hot, or too few streams per module. We profile and fix throughput, latency, thermal, and memory.
Fix What Works the Wrong Way
It runs, but it's built on the wrong stack — general-purpose frameworks and ad-hoc CUDA code that fight the platform instead of using it, copying data across the CPU/GPU boundary and leaving the accelerators idle. We re-architect onto the right tools and a correct CUDA and GPU-memory design, so the hardware you paid for actually does the work.
Why Teams Reach Out
Edge Is Not Just Computer Vision on Smaller Hardware
It Takes a Rare Generalist
Edge AI is a multidisciplinary field — embedded systems, CUDA and GPU programming, computer vision, video pipelines, and thermal and power design, all at once.
The Field Is Not the Data Center
Field-deployed devices are hard to maintain, update, and reset — remote, unattended, and often hard to reach. That's a world away from the data center where ML researchers and developers work, with SSH access, instant redeploys, and a machine you can always reboot.
Jetson Has a Real Learning Curve
Jetson is an embedded platform with a genuine learning curve — not a small PC you can apt upgrade.
Dev Kit Is Not the Product
Moving from dev kit to a production module is an engineering step, not a swap. The kit's USB webcams, ready-made peripherals, and reference carrier board give way to your own cameras, sensors, and a custom carrier board — each with its own drivers, power, timing, and integration work.
Runs on a Dev PC, Crawls on Jetson
A model that runs comfortably on a researcher's or developer's workstation GPU can be slow — or simply unusable — on Jetson. The edge module has a fraction of the compute, memory, and power budget; reaching real-time there is an optimization problem of its own.
One Stack, Lab to Edge
Most teams end up with one stack in the lab and another on the device, so what they prototype isn't what they ship. Building a unified approach — the same stack and codebase from lab development through edge deployment — is hard, and without it you lose consistency and reproducibility.
For the Engineers Evaluating This
What We Validate That In-House Teams Discover Too Late
// Right Orin model for the workload
We validate which Jetson Orin module actually fits your processing requirements — driven by your models, cameras, and latency targets, and the VPI, NVDEC, and NVENC budgets they imply.
// Quantization efficiency + graph surgery
We validate quantization efficiency on the Jetson platform and, where it pays off, apply graph surgery to the network so it runs lean on the module.
// Pipeline matched to requirements
We check pragmatically that every pipeline element — models and CV processing alike — is tuned to the actual requirements, not left on defaults.
// Benchmarks for long-run sustainability
We build benchmarks that prove long-run sustainability — no throttling under the load you expect in production, not just a cold-start demo.
// Production deployment model + OTA risk
We interview your team to pin down the deployment model that goes to production, minimizing OTA-upgrade risk and security vulnerabilities before they ship.
// End-to-end edge-to-datacenter architecture
We design the end-to-end edge-to-datacenter architecture for fleet orchestration and data flow, so a single device scales into a managed fleet.
We're a software vendor — we have no module to sell you. If Jetson is the wrong call for your product, we'll tell you, and point you to the right hardware partner. We take delivery from your chosen carrier board up: the AI pipeline, plus the sensors, controllers, and application stack to run end to end.
Why Teams Trust Us
Creators of the Open-Source Savant Framework
Savant is our open-source computer-vision and video-analytics framework, built on NVIDIA DeepStream and running on Jetson and data-center GPUs alike. The engineering practices behind it are the ones we bring to your product.
600+
Devices in Production
Nano–AGX
Full Orin Family Shipped
4
Continents
6
Verticals
Privacy by architecture: video is processed on the device, only results leave it, and raw footage never does — the basis of our pool-safety and private-residence deployments.
How We Engage
How a Project Starts
A free 30-minute discovery call to decide, together, whether there's a fit — a straight go/no-go. From there, a fixed-scope proof of concept, then continued fixed-scope delivery or time-and-materials as the work demands.
Planning an Orin Product? Let's Pressure-Test It.
No obligation · We reply within one business day.