Open source AI copilot that knows your company's code and its context
Company is active
Event Year: 2024
Company is active
Event Year: 2024
Storia AI is developing an open-source AI copilot designed to revolutionize how software engineers interact with code. As AI increasingly automates code generation, the focus shifts towards code comprehension, evaluation, and architecture. Storia's copilot deeply understands a company's codebase and its context, empowering developers to make informed decisions. Their initial product, Sage, is a Perplexity-like agent that assists developers in understanding, judging, and generating software. Sage answers complex questions about codebases, leveraging documentation and external references from sources like GitHub, Stack Overflow, and technical design documents to prevent hallucinations. Initially focused on open-source repositories, Sage will eventually encompass a comprehensive understanding of code across the internet, including private codebases for teams. The team brings 20+ years of software engineering and AI research experience to tackle the challenge of building an AI system that truly comprehends code and its context.
Storia AI is developing an open-source AI copilot designed to revolutionize how software engineers interact with code. As AI increasingly automates code generation, the focus shifts towards code comprehension, evaluation, and architecture. Storia's copilot deeply understands a company's codebase and its context, empowering developers to make informed decisions. Their initial product, Sage, is a Perplexity-like agent that assists developers in understanding, judging, and generating software. Sage answers complex questions about codebases, leveraging documentation and external references from sources like GitHub, Stack Overflow, and technical design documents to prevent hallucinations. Initially focused on open-source repositories, Sage will eventually encompass a comprehensive understanding of code across the internet, including private codebases for teams. The team brings 20+ years of software engineering and AI research experience to tackle the challenge of building an AI system that truly comprehends code and its context.
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2024
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2024
B2B
B2B
B2B -> Engineering, Product and Design
B2B -> Engineering, Product and Design
Team size: 2
Hiring: No
Team size: 2
Hiring: No