Pulse Raises $3.9M Seed Round to Revolutionize AI-Powered Document Understanding and Data Extraction
Pulse addresses the critical challenge of extracting business data from complex, messy documents where legacy PDF parsing and OCR tools fall short.
Company Name: Pulse
Location: San Francisco, CA
Industry: Document Understanding & Data Ingestion Infrastructure
Funding Details:
- Amount: $3.9M (Seed round)
- Investors:
- Lead: Nat Friedman and Daniel Gross (NFDG)
- Participants: Y Combinator, Sequoia Capital Scout, Soma Capital, Liquid 2 Ventures, Olive Tree Capital, Tiferes, and executives from NVIDIA, OpenAI, and Ramp
Purpose of Investment:
- Accelerate product development and market expansion
- Enhance extraction capabilities, including support for multimodal file formats (audio and video)
- Transform data ingestion pipelines for enterprise applications
Leadership:
- CEO: Sid Manchkanti
- CTO: Ritvik Pandey
Product:
Pulse provides an AI-powered document understanding platform that transforms unstructured data—from millions of spreadsheets, PDFs, images, and more—into clean, structured datasets. By combining intelligent schema mapping with fine-tuned extraction models, Pulse delivers enterprise-grade accuracy without losing context. Its technology is powering diverse applications such as RAG pipelines for Fortune 100 companies, automated financial due diligence for YC startups, and ML-driven market intelligence for investment firms.
About Company:
Founded last year in San Francisco, Pulse addresses the critical challenge of extracting business data from complex, messy documents where legacy PDF parsing and OCR tools fall short. By recovering 20–30% of lost business-critical information, Pulse transforms how organizations ingest and leverage data. Its innovative platform is rapidly being adopted by software teams of all sizes, laying the foundation for the next generation of AI systems.
