Cloud-friendly file backup, visibility, and archive for

Research and Life Sciences

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Igneous for Research & Life Sciences

Igneous delivers a high-performance unstructured data management solution for research and life sciences environments.





Legacy data solutions can't keep up

Modern research and life sciences is on the forefront when it comes to the challenges of data growth. Advancements in technology and research instruments are all contributing to a rapid increase in data volumes, costs, and operational complexity.

If poorly managed, all this data not only increases costs - it’s also a lost opportunity.

Traditional data management solutions struggle to ensure data is in the right place for analysis, and in the right place for archive.

That's why Igneous was built.


SaaS backup, archive, and visibility designed for scale

Igneous is engineered to work with any NFS or SMB files on any NAS device. Our API integrates into your existing workflows, ensuring your data is always accessible. 

Protect petabytes of new data every day by replacing your slow, legacy or non-existent backup solution.  Indexing data at petabyte scale allows for quick discovery and retrieval of your protected data. Gain visibility across billions of files to implement an enterprise archive strategy. 

Save space on primary storage. Offering both onsite and cloud-based archive options, Igneous moves data at scale to and from any archive endpoint.



Igneous integrates via API with NetApp, Isilon, Pure Flashblade, and Qumulo to simplify data management


AdaptiveSCAN, IntelliMOVE and InfinitieINDEX are the foundation to seeing, moving, and indexing data faster than anyone else

Deployment Options

With Igneous protect data on-premises or in the cloud

Data-Heavy Teams Use Igneous to:


Our Products



Real-time indexing, global visibility, and powerful search

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Protect petabytes of data and billions of files

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Modern workflows shouldn’t have to wait for data

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PAIGE Accelerates Cancer Diagnosis With Igneous

PAIGE’s mission to revolutionize the diagnosis and treatment of cancer through machine learning requires an extremely large dataset of high resolution slide images. PAIGE chose Igneous to not only protect all of this unstructured data, but also to make it easy for researchers and AI engineers to identify, classify, find, and programatically move and process small subsets of the overall dataset on demand for high performance computations.


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