Kreuzberg

Kreuzberg
kreuzberg.devExtracts structured, machine-readable content from any document for AI agents and pipelines.

Kreuzberg
kreuzberg.devExtracts structured, machine-readable content from any document for AI agents and pipelines.
Extracts structured, machine-readable content from any document for AI agents and pipelines.
kreuzberg.devMomentum rises when people search, view, like, share, claim, or save this profile.
Kreuzberg provides a document intelligence platform designed for AI engineering workflows. It offers a single API to extract structured, machine-readable content from over 90 file formats, including PDFs, images, and office documents. The platform handles layout detection, OCR, table extraction, and optional VLM, delivering a JSON response with full document structure, ready for direct integration into RAG frameworks, embedding pipelines, and AI applications. It also features ultra-fast embeddings, semantic chunking, and code intelligence.
AI engineers, developers, and data scientists building AI agents, RAG pipelines, or applications that require efficient, scalable, and structured data extraction from diverse document types.
Kreuzberg addresses a critical bottleneck in AI development by providing a comprehensive, high-speed solution for document processing and structuring. Its unified API, support for numerous formats, integrated embeddings, and code intelligence features offer a powerful toolkit for AI engineers, potentially accelerating the development and deployment of advanced AI applications.
AI-assisted scores estimated from public website information only.
FounderDeck estimates Kreuzberg at $1,500,000. This valuation reflects a highly polished product with a clear, painkiller use case within the rapidly growing AI engineering market. The comprehensive feature set, including 90+ file formats, integrated embeddings, and code intelligence, positions it as a strong B2B SaaS offering. The absence of explicit public traction or funding information prevents a higher estimate at this stage.
Valuation date: 2026-06-05. Estimate generated from public signals.
Added to 1 portfolios.
Portfolio saves do not represent ownership, equity, investment rights, IP rights, or affiliation.