
Pulse is a document processing engine that offers enterprise-scale pipelines for document extraction. Their core product is a document vision model capable of accurately parsing any document, including charts, graphs, tables, and text, into LLM-ready text. The model is vertical-agnostic and integrates via API in under 5 minutes. Pulse also provides custom processing pipelines for building retrieval (RAG) pipelines end-to-end, allowing users to define schemas with plain English for precise data extraction and configure data pipelines. They emphasize quick and secure integration, offering a hosted API with enterprise security and compliance measures, including SOC 2 Type 2 and HIPAA compliance, with zero-data retention. Pulse serves a wide range of industries, including finance, healthcare, legal, and supply chain, by helping companies unlock data from documents for applications like audit process automation, investment analysis, tax processing, and clinical intelligence automation. They are backed by significant seed funding, including from notable investors like Nat Friedman and Daniel Gross, as highlighted by Business Insider.

Pulse is a document processing engine that offers enterprise-scale pipelines for document extraction. Their core product is a document vision model capable of accurately parsing any document, including charts, graphs, tables, and text, into LLM-ready text. The model is vertical-agnostic and integrates via API in under 5 minutes. Pulse also provides custom processing pipelines for building retrieval (RAG) pipelines end-to-end, allowing users to define schemas with plain English for precise data extraction and configure data pipelines. They emphasize quick and secure integration, offering a hosted API with enterprise security and compliance measures, including SOC 2 Type 2 and HIPAA compliance, with zero-data retention. Pulse serves a wide range of industries, including finance, healthcare, legal, and supply chain, by helping companies unlock data from documents for applications like audit process automation, investment analysis, tax processing, and clinical intelligence automation. They are backed by significant seed funding, including from notable investors like Nat Friedman and Daniel Gross, as highlighted by Business Insider.
What they do: Enterprise document processing engine and "document vision" model that converts complex documents into LLM‑ready structured data via API
Integration & deployment: Hosted API with claimed ~5‑minute integration and enterprise deployment options
Security & compliance: Claims SOC 2 Type II, ISO 27001, GDPR controls and HIPAA BAA availability with zero‑data retention
Funding signal: Seed round reported Feb 2025; investors reported to include Sequoia, Y Combinator, Nat Friedman, Daniel Gross and others
About 16 employees; San Francisco, CA
Extraction and structuring of complex, multi‑layout documents for use with large language models and retrieval‑augmented workflows.
2024
Enterprise software / AI
3,900,000 USD
“Seed round reported Feb 2025 with investors reported to include Sequoia, Y Combinator, Nat Friedman, Daniel Gross, Olive Tree Capital, Liquid 2 Ventures, Soma Capital, and Tiferes Ventures”