From multi-channel microscopy to scanned documents and aerial imagery, DataTorch renders each channel independently, your models take the first pass, and every sign-off becomes training data for models you own. The advantage compounds with every review.
Production teams and researchers build on DataTorch
Your domain is different. Your bottleneck isn’t.#
Whether the image is a fluorescence stack, a scanned filing, or a satellite scene, the scarce resource is the person qualified to read it. One workflow protects that judgment in every field — find yours below.
Imaging labs
Multi-channel fluorescence review with per-channel LUT control, scored against a label schema shaped to your SOP.
KromaTiD scores production dGH assays on DataTorch.
Document analysis
Key–value extraction and expert review over forms, filings, and scanned records.
INPI runs document analysis on DataTorch.
Remote sensing
Detection, segmentation, and counting across aerial, drone, and satellite scenes.
Used in published work from the University of Arizona and in the International Journal of Remote Sensing.
Agriculture and game-analysis imagery has also run through the same workflow — the shape of your data matters here more than the field it comes from. And since the free plan includes a private project, the fastest way to know is to try it on your own data.
01 / See it right
Ordinary images just work. Hard ones work too.
PNG and JPEG open like anywhere else — and so does the file your last tool refused: high bit depth, oversized scans, fifty layers deep and still smooth. Tune each layer until the signal reads, then save that setup so every reviewer sees the same image.
02 / Compound it
Today’s review trains tomorrow’s model.
Every step runs as a human task or as a Python agent on your own compute — same inputs, same outputs, interchangeable. Sign-offs accumulate into the labeled set you retrain on, your training job runs as just another step, and the better model comes back as the next first pass.
- Exports: COCO · YOLO · JSON
- Pipelines rerun on every batch
03 / Own it
Your images. Your models. Your advantage.
Your images stay in your storage — connect S3, Azure, or Google Cloud and DataTorch reads them in place. Your models run on hardware you control. And when the work is done, the datasets and pipelines are yours to take anywhere.
See it on your own images.
Start free on our hosted cloud, private project included. Or book 30 minutes to scope an on-prem or bring-your-own-cloud deployment — no slides either way.
datatorch@datatorch.io · we reply within a business day
The annotation platform for specialized imagery — review, score, and share datasets your team works from.
Developers
© 2026 DataTorch. All rights reserved.