SEATTLE, WA, October 23, 2018 – A research company using Artificial Intelligence (AI) in the fight against cancer. An animation studio creating films and virtual reality (VR) amusement parks. A team of scientists deepening our understanding of the human brain. All struggled to manage massive amounts of unstructured data, until they turned to Seattle-based Igneous – the leader in Unstructured Data Management (UDM) – and its as-a-Service, high-performance data management solution.
Igneous’ cloud-native solution – consisting of Igneous DataDiscover, Igneous DataProtect and Igneous DataFlow – delivers superior data visibility, efficient data protection and automated data movement to data-centric organizations like Paige.ai, regardless of where datasets reside. “At Paige.ai we are using artificial intelligence to revolutionize the clinical diagnosis and treatment of cancer. Igneous is able to provide intelligent data management that enables us to analyze an immense volume of unstructured pathology data,” says Dr. Brandon Rothrock, Senior AI Scientist at Paige.ai. “We rely on Igneous’ expertise in unstructured data management to help us succeed with our mission.”
“No one’s fully managing unstructured data at scale today — especially machine generated datasets. IT and Data Owners lack the visibility and insight on how much data exists, where it’s located, how often it’s being used, and its true value,” says Kiran Bhageshpur, co-founder and CEO at Igneous. “We developed our UDM solution to help companies protect these assets, and make all file and object data accessible wherever it lives - getting it to the right place at the right time.”
Igneous is the first to deliver the required capabilities of UDM at scale: continuous data visibility, search and classification; backup, archive and disaster recovery of all files and objects; and automated dataset movement based on data lifecycle requirements - via a single API-enabled solution.
“We are unique in delivering all aspects of UDM in a single ’as-a-Service’ solution, for all unstructured data,” says Christian Smith, VP of Products at Igneous. “Our customers get the benefits of visibility, classification, analysis, protection and data mobility without having to rip and replace their existing storage investments. And our unprecedented performance and support for any NAS or object interface and private or public cloud service gives agility and choice back to our customers.”
Capable of delivering data scan-and-compare rates of over 419,000 files/second per job, data-movement rates of over 21,000 files/second per job, throughput starting at 1.2GB/second for a basic configuration, and scalable to hundreds of concurrent jobs to meet the needs of even the largest enterprises, Igneous outpaces competitors in both the volume and handling performance of managed unstructured data. The solution includes:
- Igneous DataDiscover: Gives IT and Data Owners the shared intelligence needed to find the right datasets for processing and collaboration, contain data sprawl, and proactively manage system utilization and costs. Underpinned by the Igneous InfiniteIndex™ it provides customers with a unified and intelligent system of record for all file and object data.
- Igneous DataProtect: Simplifies and automates data protection and archive as-a-Service. Any file and object interface, any NAS system platform and support for any public cloud means teams can consolidate their data protection and archive without facing vendor lock-in.
- Igneous DataFlow: Customers already use Igneous for managing API-driven automated data protection workflows. Igneous DataFlow - in Preview - extends this capability to any operation requiring intelligent data movement at scale, including machine learning pipelines, IoT data workflows and BioInformatics pipelines. Igneous DataFlow equips teams with self-serve and automated dataset movement for analysis, simulations and collaboration.
DataDiscover, DataProtect and DataFlow support all file and object protocols in their native format, across any on-premise or cloud location.
Igneous customers share a few attributes. In many cases, accomplishing their company mission depends on high performance computing and deep learning. They rely on tens of petabytes of unstructured, machine-generated data. And their lean IT teams look to technology to assist with extracting value with that overwhelming amount of data.
Kris Winkler, Director of IT Operations at Seattle-based Allen Institute, stated "Our aim is to answer some of the biggest questions in bioscience and help accelerate research around the world. Partners like Igneous allow our scientists to focus on innovation and understanding what makes us human."
Igneous delivers the only Unstructured Data Management (UDM) as-a-Service solution, enabling data-centric enterprises with visibility, protection and data mobility at scale, wherever datasets and workflows live. Igneous combines all UDM functions into a single, API-enabled, cloud native solution so organizations can see, protect, analyze and act on all unstructured data assets to accelerate data usage and organizational value. Igneous: The right data, in the right place, at the right time. Find out more at igneous.io.
About Allen Institute for Brain Science
Allen Institute is an independent, 501(c)(3) nonprofit research organization founded by philanthropist and visionary Paul G. Allen. Allen Institute is dedicated to answering some of the biggest questions in bioscience and accelerating research worldwide. The Institute is a recognized leader in large-scale research with a commitment to an open science model. Its research institutes include the Allen Institute for Brain Science, launched in 2003, and the Allen Institute for Cell Science, launched in 2014. In 2016, the Allen Institute expanded its reach with the launch of The Paul G. Allen Frontiers Group, which identifies pioneers with new ideas to expand the boundaries of knowledge and make the world better. For more information, visit www.alleninstitute.org.
Paige.AI was founded to revolutionize pathology and strengthen this lynchpin of medical diagnostics with quantitative, computational technology, fusing machine learning and human clinical expertise. Key elements of Paige.AI include: Pathology: The company aims to revolutionize pathology in the future, while making it immediately less manual and subjective. AI: Artificial Intelligence is at the core of the company’s mission and the team of experts are working on developing novel deep learning and ensemble models to create clinical-grade AI for Pathology. Guidance: Robust clinical decision support will guide experts to focus on actionable pathologic findings, trained by diagnostic pathology experts and cancer researchers. Engine: Paige.AI’s engine is a high-performance compute cluster with hundreds of graphics processing units (GPUs).