Unsiloed AI

Unsiloed AI builds state-of-the-art vision models to transform multimodal unstructured data into structured, machine-readable formats like JSON or Markdown. The platform converts PDFs, spreadsheets, slides, and images into LLM-ready datasets with high accuracy, preserving hierarchy and context for downstream AI workflows. Backed by YCombinator, Unsiloed addresses the challenge that 80% of enterprise data is multimodal and unstructured.

Key Features:

• Dual Stream Architecture - Proprietary Vision Language Model (VLM) that understands texts, tables, numbers, images, and hierarchical structures simultaneously
• Domain-aware Decoder - Parses and extracts relevant information by understanding domain-specific ontology while preserving context and hierarchy
• Hierarchical Indexing - Generated chunks have parent-child mapping and are indexed hierarchically for efficient retrieval of related information
• Multi-format Data Ingestion - Supports PDFs, slides, spreadsheets, wikis, databases, Word documents, and images through a single ingestion layer
• High Accuracy & Low Latency - Vision model-based structuring with confidence score-based reinforcement learning for accuracy-critical workflows
• Table Extraction - Specialized parsing for complex tables with high accuracy, including table summarization capabilities
• Form Field Extraction - Automated extraction of form fields from documents
• Graph Extraction - Extract and structure graph data from documents

Getting Started:

Sign up for the free Builder plan to process up to 2,000 pages. The platform integrates with existing infrastructure including S3, GCS, Azure, and Minio. Deploy on-premises, air-gapped, or cloud-native environments based on your security requirements.

Enterprise Security:

Unsiloed supports SOC 2 compliance, end-to-end encryption, strict access controls, SSO/SAML authentication, zero data retention agreements, and BAA agreements. Data is never used to train base models, with improvements applying only to private instances.