Unsiloed
Unsiloed AI is a document processing platform that turns PDFs, images, spreadsheets, scans, and other unstructured files into JSON and Markdown that LLMs and AI agents can use. The platform acts as a document layer for enterprise AI, helping teams parse, extract, and split complex documents without relying on brittle OCR pipelines. Its proprietary dual-stream vision models read both content and layout, preserving tables, figures, forms, signatures, handwriting, hierarchy, and document structure. Unsiloed can extract structured fields into JSON, convert documents into LLM-ready Markdown, and split multi-document files or long documents into retrievable chunks. The platform supports workflows across financial reports, legal contracts, invoices, healthcare records, regulatory filings, scanned documents, spreadsheets, and mixed-layout enterprise files.
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Gemini 3.6 Flash
Gemini 3.6 Flash is Google’s newest Flash model built for efficient, reliable, production-scale AI agents. The model improves on Gemini 3.5 Flash with stronger coding, knowledge work, multimodal performance, computer use, and agentic workflow execution. Gemini 3.6 Flash is designed to use fewer output tokens, take fewer reasoning steps, reduce unnecessary tool calls, and lower the cost of complex AI tasks. It supports document parsing, chart analysis, data analysis, report drafting, code migrations, visual understanding, and multi-agent orchestration. The model is available through the Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, and the Gemini app. Built for developers and enterprises, Gemini 3.6 Flash helps teams build faster, lower-cost, and more capable AI agents across coding, analysis, productivity, and multimodal workloads.
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LandingAI
LandingAI’s Agentic Document Extraction (ADE) is an AI-powered document processing platform that converts complex documents into accurate, structured, and traceable data. The platform is designed to handle real-world documents, including forms, tables, multi-page reports, scans, and unstructured files, while maintaining high levels of accuracy and auditability. ADE uses a vision-first, agentic approach to extract information and provide confidence scores, source citations, page references, and coordinate-level traceability for every extracted result. The platform enables organizations to automate document-intensive workflows without relying on fragile OCR and manual review processes. It supports use cases across financial services, insurance, healthcare, legal, logistics, and energy industries where accuracy and compliance are critical. LandingAI helps organizations accelerate document processing, improve data quality, and create production-ready AI workflows.
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Tensorlake
Tensorlake is the AI data cloud that reliably transforms data from unstructured sources into ingestion-ready formats for AI applications. It seamlessly converts documents, images, and slides into structured JSON or markdown chunks, ready for retrieval and analysis by LLMs. The document ingestion APIs parse any file type, from hand-written notes to PDFs to complex spreadsheets, performing post-processing steps like chunking and preserving the reading order and layout of the documents. Tensorlake's serverless workflows enable lightning-fast, end-to-end data processing, allowing users to build and deploy fully managed Workflow APIs in Python that scale down to zero when idle and scale up when processing data. It supports processing millions of documents at once, maintaining context and relationships between various data formats, and offers secure, role-based access control for effective team collaboration.
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