
Outerport is a technology company that provides an advanced AI-powered platform to make diagrams, drawings, documents, CAD files, and webpages queryable by converting them into exact text representations. Their key products include a visual-diagram parsing system that uses computer vision and vision-language models to convert diagrams into code, and an enterprise-grade agentic search system that improves document retrieval accuracy and efficiency through chain-of-memory reasoning and KV cache management. The platform supports complex queries that require reasoning beyond traditional vector retrieval methods, offering 10-20x more efficient processing of long documents. Outerport serves enterprise clients including Fortune 500 companies and financial institutions, delivering solutions that enable AI agents to interact with complex document data via APIs or LLM ingestion. The company is led by founders with strong AI and machine learning research backgrounds and offers its technology as hosted SaaS, on-premise licenses, and customized deployments, positioning itself as a leader in AI-driven document understanding and search technology.

Outerport is a technology company that provides an advanced AI-powered platform to make diagrams, drawings, documents, CAD files, and webpages queryable by converting them into exact text representations. Their key products include a visual-diagram parsing system that uses computer vision and vision-language models to convert diagrams into code, and an enterprise-grade agentic search system that improves document retrieval accuracy and efficiency through chain-of-memory reasoning and KV cache management. The platform supports complex queries that require reasoning beyond traditional vector retrieval methods, offering 10-20x more efficient processing of long documents. Outerport serves enterprise clients including Fortune 500 companies and financial institutions, delivering solutions that enable AI agents to interact with complex document data via APIs or LLM ingestion. The company is led by founders with strong AI and machine learning research backgrounds and offers its technology as hosted SaaS, on-premise licenses, and customized deployments, positioning itself as a leader in AI-driven document understanding and search technology.
What they do: APIs and vision-powered platform that converts diagrams, drawings, CAD files, and documents into queryable, structured text for AI agents and enterprise search.
Founded: 2024
Headquarters: San Francisco
Founders: Towaki Takikawa (Co‑Founder & CEO), Allen Wang (Co‑Founder & CTO)
Business model: Hosted SaaS, on‑prem / VPC deployments, REST API + SDK integrations
Target customers: Enterprises including Fortune 500 companies and financial institutions
Document and diagram understanding, enterprise search, retrieval-augmented generation (RAG) for visual and technical documents.
2024
Data and Analytics
500000
Round announced Sep 25, 2024; investors include Y Combinator, Pioneer Fund, Flex Capital.
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We’re looking for candidates with experience building complex interactive products. If you enjoy writing code for interactive experiences, have experience architecting schemas and backend architectures, in a fast paced environment, you’re likely a fit for this role.
As Part Of Our Founding Product Team You May
Qualifications (none Of These Are Hard Requirements)