Unsiloed launches Higher-Order Extraction for advanced document AI

Aman: Aman Mishra is CEO and co-founder of Unsiloed AI, a Y Combinator-backed document intelligence company. With a background in ultra-low-latency trading systems and AI copilots, he leads the development of multimodal parsing tools for high-stakes industries including finance and insurance. Mishra publicly announced and quoted the launch of Higher-Order Extraction, emphasizing its deterministic computation and verification features. Unsiloed: Unsiloed AI builds vision-first, layout-aware APIs that parse complex unstructured documents such as PDFs into structured Markdown and JSON outputs optimized for LLMs and AI agents. The company focuses on schema-driven extraction with word-level citations, bounding boxes, and per-field confidence scores to ensure traceability. It recently launched Higher-Order Extraction to compute derived values not printed on documents by generating and executing deterministic code from raw page data. Traceability: The platform provides per-field confidence scores and source citations to allow verification of extracted or computed results back to the original document pages. Differentiation: Unsiloed positions its approach against general-purpose document AI tools by focusing on deterministic code generation for derived calculations rather than relying solely on model inference. Document Processing: Unsiloed AI prioritizes schema-based extraction that returns values in user-specified JSON structures along with grounding evidence for each field.