candidate interviews get a workspace of their own - the job description, CV, questions, notes, and live transcript stay together as you work. ReCo understands that context, so you can use it like ChatGPT for relevant questions, fit analysis, candidate recommendations, and more.
Freelancers, headhunters, and boutique agencies running 10+ candidate calls a week
you want one general meeting agent across the company - automatic capture, searchable meeting history, AI chat, and integrations for many teams.
Individuals and teams who want every meeting recorded, summarized, and searchable across the company
you want one place for everything around candidate conversations - preparing questions, running the call with the CV, JD, and your notes in view, and writing the summary or recommendation from the sources you choose - not just searchable meeting notes.
It transcribes your interviews in real-time and turns them into concise summaries or comprehensive recommendation reports in your custom structure and with your brand visuals (logo, etc.)
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ReCo organizes and streamlines your interview workflow. It keeps everything in one place before, during and after the call so you can work smoothly without switching between tools.
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From online calls to face-to-face meetings and phone screens (coming soon), every candidate conversation stays in one continuous workspace. Each one comes with a live transcript - without recording or storing sensitive audio or video.
Ask it everything you'd ask ChatGPT, Claude, or Gemini — except this chat has already read the CV and the job description and heard every word of the call. Nothing to paste, nothing to re-explain — before, during, or after the conversation.
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ReCo supports multiple languagesacross transcripts and in-app communication, so you can express yourself naturally and understand every word. Whether you're interviewing in English, Danish, Polish, or beyond, ReCo keeps the flow effortless
Most recruiters know they shouldn't just paste a CV into ChatGPT. ReCo is built so you don't have to choose between speed and doing it right. Anonymisation happens locally, data stays in your browser, and you stay in control of what gets processed.
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Think ChatGPT + a notetaker in one recruiting workspace, already set up for candidate interviews. Prepare the role and questions, run the call with the CV, notes, and live transcript at hand, then create the write-up from those same sources. Because the context builds as you work, AI can help without extra prompts, uploads, or re-explaining the candidate and role.
Role context and questions before the call; the CV, JD, and your own notes at hand during it; a write-up built from those same sources after - you choose what feeds each part.
Chat and quick actions already know your candidate and role - ask for follow-up questions, a tailored candidate feedback message, or a search strategy. No prompt to write, no transcript to paste, no role to explain.
A live transcript for Google Meet and Teams - without recording audio or video. Face-to-face meetings and browser-to-phone calls: coming soon.
CV blinding by default, editable transcript, local storage. Responsible AI use is how the tool works - not a policy you have to enforce.
Recruiters keep working the way they already do, but with the full interview stage in one place. You get consistent structure across calls and reports, while useful AI does not depend on everyone mastering prompts or rebuilding context.
Reports, notes, and summaries done 50-80% faster - while the conversation is still fresh.
