Pulse Raises $3.9M to Power AI Agents and LLM-Ready Document Intelligence

Pulse, an AI-powered document intelligence platform, raised a $3.9 million seed round led by Nat Friedman and Daniel Gross (NFDG), with participation from Y Combinator, Sequoia Capital Scout, Soma Capital, Liquid 2 Ventures, Olive Tree Capital, Tiferes, and executives from NVIDIA, OpenAI, and Ramp.

Pulse is bridging the gap between AI agents and enterprise document intelligence, enabling businesses to extract structured, LLM-ready data from unstructured documents with precision, speed, and enterprise-grade security. Despite advancements in OCR and AI-based extraction tools, businesses still struggle with complex tables, handwritten notes, financial reports, legal contracts, and industry-specific formats. Pulse solves this by leveraging document vision models, schema-driven processing, and multimodal AI to transform raw documents into actionable insights for AI-driven applications, retrieval-augmented generation (RAG) pipelines, and autonomous enterprise workflows.

Unlike traditional solutions, Pulse enables AI agents to autonomously process, analyze, and extract key information from financial reports, contracts, regulatory filings, and technical documents. The platform delivers LLM-ready structured JSON, ensuring AI systems can seamlessly integrate extracted insights without manual pre-processing. Its computer vision models allow Pulse to accurately parse complex layouts, including tables, charts, and graphs, while maintaining contextual relationships across documents. Additionally, Pulse offers custom processing pipelines that support three-way matching, compliance automation, and structured data extraction for financial audits, regulatory monitoring, and legal workflows.

Pulse is already being used by Fortune 100 enterprises, AI-native startups, and financial institutions to automate document-intensive workflows. In healthcare, Pulse enables hospitals and insurers to digitize patient records, extract clinical insights, and accelerate claims processing while maintaining HIPAA compliance. Financial institutions use Pulse to automate tax processing, audit workflows, and investment analysis by structuring data from annual reports, earnings transcripts, and market research documents. Legal teams and compliance departments rely on Pulse to process contracts, extract key clauses, and track regulatory changes in real time, while insurance providers leverage it to automate claims processing, fraud detection, and policy underwriting. In real estate, Pulse streamlines rent roll processing, lease agreement analysis, and due diligence workflows, saving businesses thousands of hours in manual processing.

With this funding, Pulse is expanding its AI capabilities to multimodal document intelligence, including audio and video processing to further enhance real-time enterprise automation. The company’s API-first approach allows developers to integrate AI-powered document processing in just five minutes, unlocking new possibilities for AI agents, research automation, and enterprise knowledge management.

“Our goal is to eliminate the inefficiencies of unstructured document processing and power AI agents with truly structured, actionable data,” said Sid Manchkanti, Co-Founder and CEO of Pulse. “This funding allows us to push the boundaries of AI-powered document intelligence, ensuring businesses can extract structured insights in real time, automate decision-making, and build AI-native workflows with ease.”