Object storage, evolved
Integrate your data using the familiar ecosystem of S3-compatible tools and libraries. Simply drag-and-drop, or automate using our rich, robust API platform.
SEAMLESS INTEGRATION
AI-ready storage at scale
Store and automatically process your data for AI applications or deploy AI agents using your S3 data.
Unified data platform
Connect your object storage directly to databases and knowledge bases for unified enterprise intelligence.
Unified data platform
Connect your object storage directly to databases and knowledge bases for unified enterprise intelligence.
Unified data platform
Connect your object storage directly to databases and knowledge bases for unified enterprise intelligence.
Any file, any format
Upload any file format with confidence. View automatically parses your data, generates metadata and embeddings, and prepares everything for your AI applications.
Any file, any format
Upload any file format with confidence. View automatically parses your data, generates metadata and embeddings, and prepares everything for your AI applications.
Any file, any format
Upload any file format with confidence. View automatically parses your data, generates metadata and embeddings, and prepares everything for your AI applications.
Drop-in S3 compatibility
Leverage your existing tools, SDKs, and workflows without modification. View's native S3 compatibility means zero learning curve and immediate integration with your current infrastructure.
Drop-in S3 compatibility
Leverage your existing tools, SDKs, and workflows without modification. View's native S3 compatibility means zero learning curve and immediate integration with your current infrastructure.
Drop-in S3 compatibility
Leverage your existing tools, SDKs, and workflows without modification. View's native S3 compatibility means zero learning curve and immediate integration with your current infrastructure.
SPEED-UP THE PROCESS
Intelligent processing
Native S3 compatible storage
Leverage existing AWS tools and libraries
Flexibility to deploy on-premises or in the cloud
Built for AI/ML workflows
Type Detection
View's processing pipeline begins by identifying what type the incoming data is. View uses the data itself to identify its type rather than relying on hints like filenames and content types.
Type Detection
View's processing pipeline begins by identifying what type the incoming data is. View uses the data itself to identify its type rather than relying on hints like filenames and content types.
Type Detection
View's processing pipeline begins by identifying what type the incoming data is. View uses the data itself to identify its type rather than relying on hints like filenames and content types.
Semantic Cell Extraction
View automatically identifies regions as discrete data units for processing, and these semantic cells are broken into smaller chunks based on the model you are using and the configuration you specify.
Semantic Cell Extraction
View automatically identifies regions as discrete data units for processing, and these semantic cells are broken into smaller chunks based on the model you are using and the configuration you specify.
Semantic Cell Extraction
View automatically identifies regions as discrete data units for processing, and these semantic cells are broken into smaller chunks based on the model you are using and the configuration you specify.
Metadata Generation
View’s patent-pending Universal Data Representation (UDR) creates a homogeneous representation of heterogeneous data, meaning input data of any type is represented in a consistent and searchable structure.
Metadata Generation
View’s patent-pending Universal Data Representation (UDR) creates a homogeneous representation of heterogeneous data, meaning input data of any type is represented in a consistent and searchable structure.
Metadata Generation
View’s patent-pending Universal Data Representation (UDR) creates a homogeneous representation of heterogeneous data, meaning input data of any type is represented in a consistent and searchable structure.
Embeddings Generation
Embeddings are generated from the semantic cells and semantic chunks using a large language model you specify, and are then stored in a vector database of your choosing.
Embeddings Generation
Embeddings are generated from the semantic cells and semantic chunks using a large language model you specify, and are then stored in a vector database of your choosing.
Embeddings Generation
Embeddings are generated from the semantic cells and semantic chunks using a large language model you specify, and are then stored in a vector database of your choosing.
FAQ
Everything you need to know in one place
Don't see your question or want to discuss a white glove solution? Talk to sales
How does View bring AI to the enterprise?
How does View bring AI to the enterprise?
How does View bring AI to the enterprise?
What types of data can View handle?
What types of data can View handle?
What types of data can View handle?
How does View protect my data?
How does View protect my data?
How does View protect my data?
Do I need AI expertise to use View?
Do I need AI expertise to use View?
Do I need AI expertise to use View?
How quickly can I get started with View?
How quickly can I get started with View?
How quickly can I get started with View?
GET STARTED
Take control of your
data and AI today.
Unlock your data's AI potential in minutes
GET STARTED
Take control of your
data and AI today.
Unlock your data's AI potential in minutes
GET STARTED
Take control of your
data and AI today.
Unlock your data's AI potential in minutes