Unsiloed AI is building AI Agents powered by a proprietary multi-modal vision-language model, optimized for extracting structured outputs & insights from complex financial documents.
Novel Preprocessing & First-of-its-Kind Vision Language Model: We use a novel preprocessing technique using heat maps for generating optimal data chunks, bypassing traditional OCR limitations along with our proprietary Vision Language Model (VLM), designed specifically for finance, ensuring unparalleled accuracy in data extraction.
Automated Data Ingestion & Extraction: Integrates seamlessly with S3, Dropbox, and internal systems to extract structured outputs (CSV, JSON) enriched with metadata.
Seamless ETL (Extract, Transform, Load) & Data Source Integration: Ensures smooth integration with platforms like Databricks, Snowflake, and other data sources for ETL & streamlined workflows. Boosts Productivity: Saves 1,000+ hours annually per analyst and thousands of hours for data teams, eliminating the need for manual data extraction, pipelines & custom parsers for ingestion.
Startup Description
Our Vision-Language Models break down complex file types like PDFs, images, and PPTs into clean, structured outputs — ready for AI and LLM workflows.
Unsiloed AI will bridge this gap with precise extraction and seamless integration, enabling scalable AI-driven transformations in finance. Enable end-to-end document workflow automation with robust ETL capabilities and seamless integration into financial platforms and databases. Build a unified platform to automate and optimize financial workflows, transforming operational efficiency across the industry.
Product Screenshots
Business Model
Built on a Vision Language Model (VLM) and heatmap-driven preprocessing, our architecture enables OCR-free block-level chunking, specialized embeddings, and direct inference from embeddings, ensuring unmatched accuracy for financial data extraction.
Customers
based in
India
Business
Modal Type
Marketplace
Type of
Sales
B2B, B2C
Competitors
N/A
Teams
Aman Mishra
Co-Founder
Adnan Abbas
(CTO)
Are all the founders full-time on this
project?
Yes
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