you want one workspace for the way you already work - your questions, notes, JD, CV, and transcript stay together from preparation through follow-up. That work naturally builds the context AI needs to give meaningful help, with no separate setup or reconstruction elsewhere.
Freelancers, headhunters, boutique agencies, and small in-house teams running 10+ candidate calls a week
you want a broader recruiting platform around recorded interviews, structured notes, and reporting inside an in-house hiring system.
In-house talent teams at larger, enterprise-scale organizations wanting a broader recruiting platform
you want more than a notetaker for your interviews - a place to prepare the role context and question list, switch between back-to-back calls with the CV, JD, and your own notes always at hand, and then write the recommendation from those same sources, choosing what feeds each part.
If you move interview material from Metaview into ChatGPT and Word, you still assemble the context yourself. ReCo brings transcription, AI, CV and job description, notes, CV anonymization and report editing into one workspace for recruiters.
The usual routine is a transcript tool plus ChatGPT, Gemini or Claude. ReCo replaces that whole stack with one system: a live, bot-free transcript, AI that already knows the CV and the job description, and a report editor where you decide what gets written and how - no copy-pasting between tools.
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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, every candidate conversation stays in one continuous workspace. Each one comes with a live transcript - without 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 languages across 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
A data standard you can explain to clients and candidates: responsible AI use is how ReCo works, not another policy for every recruiter to remember.
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, and what you write yourself.
Generate the whole candidate report, rewrite one paragraph with your own instruction, or write a section by hand - all in the same editor, with the sources behind each block up to you: transcript, notes, CV or job description.
A live transcript for Google Meet and Teams, with no audio or video stored. Face-to-face meetings and phone calls on speakerphone are captured through the computer microphone as a paid add-on.
Reports, notes, and summaries done 50-80% faster - while the conversation is still fresh.
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 engineering, no transcript to paste, no role to explain.
CVs are anonymized automatically. You edit the transcript by hand. No AI training, and you make the final call.
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.
