About Unsiloed AI
What is Unsiloed AI?
Unsiloed AI is built to tackle a common challenge: AI teams often spend 6+ months building document workflows, yet fewer than 10% ever reach production. :contentReference[oaicite:0]{index=0} To address this, Unsiloed AI offers advanced vision-language models and tooling that outperform many generic OCR and parsing solutions (e.g., LlamaIndex, Unstructured.io) on multimodal documents with text, tables, images and charts. :contentReference[oaicite:3]{index=3} The platform supports features for structured data extraction, document classification, splitting, and full parse workflows — making unstructured inputs usable for RAG (retrieval-augmented generation) pipelines and enterprise workflows. :contentReference[oaicite:4]{index=4} With its API first architecture and focus on finance & enterprise data ingestion, Unsiloed AI enables startups and large enterprises to reduce manual document processing, accelerate data pipelines and integrate smoothly with ETL systems and LLM workflows. :contentReference[oaicite:5]{index=5}
Key Features of Unsiloed AI
Extract specific fields and data points from documents using custom JSON schemas, combining computer vision and NLP. :contentReference[oaicite:6]{index=6}
Automatically classify pages and full documents into custom categories with confidence scores, supporting both single- and multi-page analysis. :contentReference[oaicite:7]{index=7}
Analyze and split multi-type document batches (e.g., mixed invoices, reports) into separate files per category, packaged conveniently. :contentReference[oaicite:8]{index=8}
Leverages proprietary VLMs and heat-map driven preprocessing to go beyond standard OCR, enabling deeper understanding of complex layouts and visuals. :contentReference[oaicite:9]{index=9}
Full REST API endpoints (parse, extract, classify) allow seamless integration into existing workflows, ETL systems and production pipelines. :contentReference[oaicite:10]{index=10}
Offers a free tier (100 documents/month) and tiered plans for high-volume use, enabling experimentation and scale. :contentReference[oaicite:11]{index=11}