STRUCTED AI is very close to the Demo Day where all 22 startups will be pitching
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Another brilliant founder I’ve met through the Grishin Robotics Accelerator: Sue Yang MSc BSc LLB Hons Unfortunately, I can’t share much about what she’s building yet be…
Company
STRUCTED AI
AI discovery layer that interviews clients & stakeholders to uncover what people want, know & expect before work begins
- Industry
- Technology, Information and Internet
- Location
- London, GB
- Company size
- 2–10 employees
About STRUCTED AI
The company builds AI interview agents that conduct adaptive voice or text conversations, ask relevant follow-up questions, identify missing information and turnunstructured answers into structured project documentation. Structed AI is designed for work that normally requires a professional to interview someone before starting a project: understanding goals, requirements, priorities, constraints, target audiences, success criteria and business context. Instead of sending clients a static form, questionnaire or generic chatbot, teams can create an interview in Structed and send a link. The AI agent conducts the conversation, explores unclear answers and produces a structured brief that the team can use to start work. Structed AI currently focuses on marketing and creative workflows, where agencies, consultants, freelancers and in-house teams often spend significant time gathering client requirements and translating vague requests into actionable briefs. Use cases include client discovery interviews, marketing briefs, campaign briefs, website briefs, brand and messaging discovery, paid advertising briefs, SEO and content briefs, creative briefs, stakeholder interviews, internal requirements gathering and self-briefing. The platform combines adaptive AI interviewing with domain-specific frameworks, structured taxonomies and quality-control systems. This allows the interview agent to understand what information is required for a particular type of work, determine what is missing, ask contextual follow-up questions and convert the conversation into structured business context. Structed AI's broader goal is to automate the discovery stage of knowledge work: the process of extracting expertise, requirements and context from people before execution begins.
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