LYNX ships late August 2026.Create a free account now — models, the browser demo and paid plans all open at launch.
Create free account →Production computer vision in one SDK. Detection, segmentation, depth, tracking, and 3D from a single camera — on six platforms.
Try it in your browser in 60 seconds. No install, no credit card.
Create an account and run LYNX on your own images in the browser. Pick a model, set a confidence mode, drop an image. When you’re ready to go local, your API key and the SDK are one click away.
No gating, no “talk to a rep” to find out what you get. What’s still being built lives on the roadmap, not here.
One model, one call. Boxes, pixel-accurate masks, per-pixel depth and keypoints come back together in the same result.
Real-world position and size of every detection. No stereo rig, no LiDAR, no second sensor.
LYNX knows how big things really are, and auto-rejects physically impossible detections before they reach your code.
Stable IDs across frames. Ask “how fast is track 47 moving” in one line.
Read labels, plates and signage from the same SDK. Vertical text and tiled high-res sweeps included.
iOS, Android, Linux, Windows, macOS, Jetson. Runs fully offline after activation.
This is what happens when you train on physics-accurate synthetic data with pixel-perfect annotations instead of crowd-labeled photographs. These numbers describe LYNX-trained models running on the SDK — bring-your-own-model results depend on the imported model.
lynx-nano-w. Runs on a Jetson Nano. Fits in firmware. Ships in your APK without a fight.
A 0.73M-parameter CNN matching a 32M-parameter transformer on its own benchmark. LYNX beats RT-DETR-L at 1/44 the size — and never saw a real image during training.
LYNX handles the entire model lifecycle. We acquire the training data, annotate it, train the models, and keep training them. You get updated models delivered automatically — typically every month — with no retraining, no data collection, and no pipeline work on your side. This is the LYNX-tier story. If you’re bringing your own model, the SDK tier gives you the runtime without this loop — see below.
The current model lands on your hardware, signed and ready. No retraining, no pipeline work on your side.
You run it on real footage. What it gets right and what it misses is the most valuable signal in the system.
Production feedback comes back to LYNX and goes straight into the training queue as a use case.
The SDK tier gives you the runtime without the Synetic model lifecycle. Import any ONNX, get the same six-platform C-first architecture, the same offline-by-design licensing, the same unlimited-deployment pricing. $12K/year, no per-device fees, no cloud round-trips.
YOLO, RT-DETR, or anything you can export. Calibrate on import against your own validation set, then ship it as a single signed .lnx artifact.
Your existing YOLO or RT-DETR code drops in without a rewrite — same call shapes, same CLI conventions, plus YOLO-format export back out.
You keep the C-first runtime, identical behavior on all six platforms, the offline license and unlimited-deployment terms. You lose monthly model updates and the model-dependent capabilities — 3D from monocular, dense depth, metric size gating, keypoints, behaviors, scene text. Those come with LYNX.
lynx_open_local("your_model.onnx") — that is the whole migration.The things that decide whether a CV SDK survives contact with a real deployment.
No per-device fees. Deploy to a million devices for the same price as one. OEM and redistribution are licensed separately.
The license validates locally. Your video never leaves your hardware — no cloud round-trip, no egress bill, no exposure.
Designed, trained and operated in the United States. No foreign-tech dependencies in the stack.
No PyTorch version pinning. No CUDA hell. No ONNX-conversion graveyard. C-first architecture means native bindings across six OS targets — same model behavior on every one.
Every plan starts with a 30-day free demo with the models — no card, no commitment. After that: no per-device fees, no per-call billing, and public pricing so you never need a sales call to find out what it costs.
Every paid tier gets the full runtime and all 28 model-agnostic features — listed below, no asterisks. The table covers only what actually changes between them: device count, support level, and the capabilities that require synthetic-data-trained models. The free account is the 30-day demo, not a tier — see pricing above.
Nothing to install until step three, and nothing to pay until you’ve already seen it work on your own images.
pip install lynxwith your key when you’re ready. Same model, same results, now on your hardware and fully offline.Start free — the models, in your browser, no card, 30 days. Then buy the SDK at $12K/yr or LYNX at $24K/yr, public pricing, no sales call.