Data Normalization
Standardize and organize disparate data formats for consistent, actionable insights.
Full Data Control
Instantly locate and analyze unstructured data across cloud, on-prem, and hybrid environments.
Automated Tagging
Eliminate manual work with AI-driven classification, making data easy to organize, search, and scale.
Data Optimization
Effortlessly clean, migrate, and optimize data, enhancing compliance, efficiency, and AI readiness.
Features
Data Tagging
Automatically tag and categorize data for improved searchability and compliance tracking.
Cloud Agnostic
Operate across any cloud platform with complete flexibility and independence.
Data In Place
Access and analyze the data wherever it resides, without the need for costly migrations.
Multi-Tenant
Manage multiple clients or departments seamlessly within a single, secure platform.
Customized Classifications
Tailor data classifications to meet specific organizational or regulatory needs.
Aparavi Supports
Over 1,600 File Types
Aparavi’s advanced OCR gives you insights into traditional files
as well as images, videos and audio files across multiple connection sources.
Discover Why Businesses Succeed With Aparavi
What story is your data telling you?
80%
Of enterprise data is unstructured
89%
Of data lives in a hybrid cloud of multi-cloud environment
65%
Of unstructured data is growing annually
30%
Of IT budget is spent on data storage alone
95%
Of companies have a problem with unstructured data management
43%
Of IT decision-makers worry their infrastructure can’t handle increasing future data demands
AI Data Workflow Starts Here
Gain instant visibility and start building a smarter data workflow with the Data Toolchain for AI today.
Join our Discord Community
Connect with like-minded professionals and enthusiasts on our Discord channel.
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What can I do with Aparavi?
Aparavi is a set of tools that allow you to identify data concerns across your environment, both in the cloud and onprem. It can identify files or emails that contain specific keywords or structures, are stored in insecure locations, or are duplicated in multiple locations. Aparavi allows the adminstrator to define classifications and rules to tag data for later processing such as deletion, archival, or future research.
What do you mean by ‘data in place’?
Aparavi applications classify and tag your data without moving, copying, or changing the data in any way. Aparavi crawls your servers, parses each file, and stores the file attributes including size information, permissions, and standard and custom classifications in the Aparavi system. This data can then be used to identify permission issues, PII or Health Info in the wrong place, find files which meet certain criteria, or any other set of rules you might define.
What type of documents can I process?
Aparavi can process any document you have access to – whether they are documents located in Azure or S3, emails on an Exchange Server, Google documents in a Google Workspace account, or anywhere else – if you can point Aparavi to the system, we can handle the documents. Aparavi can read and parse MS Word and Google Docs, Adobe PDF documents, Text and CSV files, MS Excel and Google Sheets, Exchange, Outlook and Google Workspaces emails, Zip files, Images, and more – in fact – Aparavi supports every modern file extension (over 1700 file types). With most document types, it can open and “read” the data in the document, as well as handle the file attributes.
How does Aparavi integrate with our existing systems and data sources?
Aparavi lets the Aparavi administrator connect any of your data systems (OnPrem network, Azure, S3, Google Workspace, Exchange, etc). Once connected, Aparavi will crawl through those systems parsing and learning about your data.
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