A new way to work

Seagull Work builds role-based machine learning agents — software that executes a specific technical role, such as a Systems Architect or Logic Designer, in electronic product development. Each agent encapsulates the knowledge and processes of proven professionals, so teams move from idea to manufacturable design without hiring for every role.

A role-based machine learning agent is software trained to perform one defined professional role. Unlike general-purpose AI, it is not trained on the internet or third-party repositories — it captures the actual knowledge and step-by-step processes of a real professional, and you interact with it through natural language or documents.

Founders, CxOs, VPs, and Engineering Directors who need technical roles executed without expanding headcount, and Product Managers who want to move an idea into a physical electronic product. Seagull Work lets you assess whether to add team members or subscribe to software that executes the role.

Seagull Work agents are trained on the real processes of named professionals — not scraped internet data. Each agent executes a complete role autonomously, from gathering specifications to producing deliverables like block diagrams, schematics, and bills of materials, and the professional behind the agent can stay engaged and keep it updated.

No. The agents perform together with your existing team. They let a small team cover roles it hasn't hired for yet — for example, a Product Manager can work directly with the Architect agent — while your engineers stay focused on the work only they can do.