Microscopy datasets fill storage in months, take hours to transfer, and slow down every team that needs them. Your AI projects should not be waiting on infrastructure.
Pharma imaging teams are caught in a cycle where data volume, speed, cost, and AI readiness each make the others worse.
HCS campaigns, lightsheet experiments, and pathology scans generate data faster than infrastructure can absorb it.
Transfers are slow. Teams wait. Experiments are delayed. Collaboration across sites breaks down.
Storage budgets are consumed by raw file size, not by the value of the data. The cost scales with acquisition, not with outcomes.
Inconsistent data from different instruments and runs makes model training unreliable. Most imaging data never reaches the AI pipeline in usable form.
Jetraw compresses raw microscopy files up to 8x without changing your workflow. Files stay in their original format. Your team works exactly as before. Storage fills slower, transfers finish faster, and the data your AI models train on is consistent and metrologically validated across every run.
Jetraw connects to your existing local and cloud storage. No new hardware. No IT project. CLI, GUI, API, and Python, on all operating systems.
See how it integrates →Every stakeholder on your team gets a specific reason to care. From the PI to procurement to the sustainability officer.
From the moment data leaves your microscope to the moment your models train on it, Jetraw covers every step.
A management layer for instrument integration, user access, compression policies, and usage analytics. Works with your existing storage, on-prem or cloud.
Learn more →Compresses raw microscopy files using a physics-informed noise model. Files stay in their original format. Every pixel is metrologically validated. CLI, GUI, API, and Python.
Learn more →
"Jetraw enables us to significantly enhance the impact of our work by facilitating the rapid sharing of large datasets."
"Just buying more storage is not scalable. Jetraw helps us and allows us to cut data’s environmental footprint by up to 8x."
"We have slow data transfer and expensive storage. With Jetraw we have solved these issues with the perk of not losing any information on the data."
Jetraw’s compression method has been validated in peer-reviewed publications. For pharma teams that need to justify the decision internally, the science is documented.
Independent peer-reviewed validation of Jetraw’s compression method for microscopy. Demonstrates that compressed images are statistically indistinguishable from raw originals for downstream analysis including deep learning.
Read paper ↗Introduces Jetraw AI’s synthetic data engine. Demonstrates that sensor-model-grounded synthetic images improve AI model accuracy in life sciences imaging tasks compared to standard augmentation.
Read paper ↗A framework for controlling dataset drift in machine learning pipelines using optical imaging data models.
Read paper ↗Compressed files stay in their original format with full metadata. Nothing is hidden or renamed.
Single access point to all local and cloud storage. Decompression is free and open. Data moves faster to anyone who needs it.
Jetraw is format-agnostic. Files open in any existing viewer or analysis tool without conversion.
Metrologically validated compression ensures data quality is consistent and traceable across runs, instruments, and sites.
Jetraw is aligned with QUAREP-LiMi standards for quantitative and reproducible light microscopy, and supports long-term archival compliance requirements in regulated pharma environments.
Jetraw works across the most demanding microscopy and imaging workflows in pharma and life sciences research.
Not seeing your imaging technique? Contact us to check compatibility.
Talk to our team. We will show you exactly how much storage, time, and budget Jetraw saves for your specific setup.
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