
Manufacturing & robotics
Parts, assemblies and visual quality checks.

YOUR WORLD. READY FOR AI.
Turn real-world footage into training-ready datasets.
AI labels. You review what matters.
For teams teaching machines to see.
FROM PIXELS TO POSSIBILITY
Sythic brings labeling, verification and human review into one continuous workflow. Go from the footage you have to the dataset your model needs.
A CLOSER LOOK
Start with the footage you already have.
Scroll to explore · illustrative annotation sequence
THE SYTHIC WORKSPACE
Describe your task. Preview the sample and estimate. Let Sythic annotate, then review and export your results.
Tell Sythic what you need to find. Shape your classes and attributes before the first frame is labeled.
CLASS DEFINITIONS · BOXES · MASKSReview a sample of labeled frames, then see the projected cost by class, verification and available credits. Start the full job when you’re ready.
SAMPLE OUTPUT · ITEMIZED ESTIMATE · YOUR APPROVALExample values from the product design; not a live quote.
Follow labeling and verification as they progress. See which frames are ready and where review is needed.
LIVE JOBS · VERIFICATION · REVIEWChoose classes, preprocessing, augmentation and train splits. Export in the format your pipeline expects.
COCO · YOLO · PARQUETBEFORE YOU COMMIT
Not a black box. A sample you can inspect and an estimate you can understand—before you ask Sythic to label the rest.
Check sample annotations against your definitions.
Classes, verification and credits, broken down clearly.
Review the estimate, then approve the full job.
Illustrative values from the Sythic product design. Final billing is based on labels actually delivered, not this estimate.

HUMAN JUDGMENT, WHERE IT COUNTS
When predictions need a second look, Sythic brings the frame, label and context together. Accept, adjust or reject—then keep moving.
Explore the workspace ↗BUILT FOR THE WAY YOU SEE
A missing guard. A damaged part. An exception only your team would notice. Start with your language, not a fixed list of categories.
Explore the workflow ↗“Find guards that are missing from the conveyor. A bent guard still counts as present.”
A roller or drive with no guard present.
A guard that is bent, displaced or partially obscured.
Illustrative product interaction
BUILT AROUND YOUR WORLD
Define the objects, conditions and exceptions that matter to your application.

Parts, assemblies and visual quality checks.

Assets, surface conditions and hard-to-reach detail.

Crop health, growth stages and conditions on the ground.

Cargo, vehicles and the movement between them.

Products, shelf availability and store operations.

Species, habitats and a changing natural world.
LESS LABELING. MORE BUILDING.
Move the sliders. See how a different labeling workflow could change the shape of your next project.
Illustrative model, not a quote: assumes 80% less manual work, US$0.003 per frame, and your entered hourly cost. Actual performance and pricing are not established.
333 hours back for your team.
FROM YOUR WORKSPACE TO YOUR STACK
Choose your classes, prepare your splits and take a structured dataset into the tools you already use.
{
"images": [{ "id": 1, "file_name": "frame_001.jpg" }],
"categories": [{ "id": 1, "name": "missing_guard" }],
"annotations": [{
"id": 1, "image_id": 1, "category_id": 1,
"bbox": [380, 170, 160, 190],
"area": 30400, "iscrowd": 0
}]
}ROOM TO EXPERIMENT. ROOM TO GROW.
Start small, find your workflow, then scale it.
Concept pricing · USD · all plans and features provisional
Get a feel for what your footage could become.
One shared workspace. From first frame to final export.
For larger workflows and requirements that are uniquely yours.
Design mockup only. No purchases or subscriptions are available on this page.
THE BIGGER PICTURE
Less time drawing boxes.
More time asking better questions.
Build the model. Test the edge case. Go back into the field. The most valuable part of your workflow has always been your judgment.
Explore a savings scenario ↗BEFORE YOU BEGIN
You can describe your task in plain language and refine the proposed classes, or configure the project manually. You stay in control of the definitions.
Labeling and verification run before review. The review workspace lets you inspect flagged frames and accept, adjust or reject their annotations.
The export workflow includes class selection, preprocessing, augmentation and train, validation and test splits, with COCO, YOLO and Parquet format options.
The job setup includes a sample-frame view and an estimate before you start a run.
No. This is a design mockup. Plans, pricing, logo placeholders and calculator assumptions are illustrative and will be refined before launch.
YOUR NEXT DATASET STARTS HERE