Govern your AI training pipelines
Before inference comes training. Before training comes governance.
Training Generative AI Large language models (LLMs) requires that you know what data you are putting in your training pipelines both from a content perspective but also from a governance perspective. Data X-Ray allows you to pull back file content, understand its metadata such as provenance, entitlements, and age that can be the crucial factor in successfully discovering and pushing unstructured data into your LLM pipelines.
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Our Clients
Connect and extract text from all data sources
Data X-Ray automatically connects to a wide variety of enterprise datasources to avoid the hassle of you building connectors, including:
- File Shares
- S3 Buckets
- Azure Blobs
- Office 365
- Content Management Systems
- Cloud Storage
- and more
Discover and classify contextually from all data sources
Data X-Ray leverages petabyte scale discovery and classification to pull back all metadata about your files, classify the content with NLP processing, and build a repository of data ready to push into your training pipelines:
- File context
- Regulatory requirements of data (privacy, security, and more)
- File entitlements and ownership leveraging enterprise Active Directory
- Content analysis to push the most relevant data into your models for whatever the use case
Effortlessly query ElasticSearch and retrieve full file contents
Along with the metadata generated, Data X-Ray can store your full file contents in text form to easily push text and its metadata into your training pipelines.
WHY DATA X-RAY?
Power automated unstructured data discovery, classification, and metadata ingestion for Generative AI at petabyte scale.
Connect to the data you care about
Connects to all of your datasources, on prem, in the cloud, or in managed SaaS providers.
Auto-classify files
Uses machine learning to suggest file categories and classify down to the token level.
Easily generate metadata
Automatically generates metadata about your physical unstructured data, such as file names, entitlements, sizes, and creation dates.
Built for petabyte scale
Crawls all of your data at scale to pull in all relevant data from across the enterprise.
Build safety into your models
Metadata including entitlements that are linked to your Active Directory powers least access privilege controls in your models.
Respect existing file entitlements
Trains your models to only respond to queries with valid user permissions structures.
