Midship

Midship is building the platform of choice for internal auditors.

Internal audit today is weighed down by repetitive, procedural work. Teams spend huge amounts of time gathering evidence, ticking boxes, and producing documentation, instead of focusing on risk and advising the business. It doesn't have to be that way anymore.

Midship gives auditors AI agents that can autonomously perform large parts of audit programs, from evidence collection through to testing and workpaper creation. Our goal is not to replace auditors, but to dramatically increase their leverage so they can focus on higher-value work.

Over time, we believe auditors should not need to worry about how an audit is executed at all. They should be able to describe the risks they care about and the controls required to mitigate them, and let software handle the rest.

We care deeply about building products that are simple and intuitive. If a tool needs a long explainer video to get started, we think it has already failed. We build software that meets audit teams where they are today and feels obvious to use.

We are founded by experienced operators, not first-time founders. We met working together at a pre-Series A, YC backed startup and have been founding engineers ourselves. We have built real products, worked with demanding customers, and understand what it means to build from zero.

We are a small, in-person team in San Francisco, hiring our first non-founder roles. If you want to work directly with the founders, move quickly, and help define the future of internal audit, we would love to talk.

Our core stack revolves around Python, Postgres and React. The hardest challenges we face is with building agentic workflows using leading AI providers. Searching across millions of tokens, compressing audit documentation, building reliable executions, and creating the correct agentic tool abstractions are all bleeding edge problems we're solving.