ReCo
ReCo is a unified workspace for recruiters that covers the entire interview-to-recommendation workflow, replacing separate notetaker and AI assistant tools. It provides live, bot-free transcription, interview-specific chat, and structured report generation in customizable templates, reducing report editing time by 50–80%. The platform saves recruiters 4–6 hours per week by centralizing job descriptions, CVs, and question sets before calls and generating reports immediately after.
- HR Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Recruiters juggle multiple tools for interview preparation, note-taking, transcription, and report writing, leading to time lost to tool-switching and manual documentation. Post-interview report generation is especially tedious, often requiring copy-pasting between a transcript tool and a separate AI assistant like ChatGPT, resulting in unnatural wording and extensive editing.
Solution
ReCo is a unified workspace that covers the entire interview-to-recommendation workflow, eliminating the need for a separate notetaker and AI assistant stack. Before interviews, it centralizes job descriptions, CVs, and reusable question sets. During calls, it provides live, bot-free transcription and a chat feature to capture key thoughts. After interviews, ReCo generates structured outputs—from short summaries to detailed reports—in the recruiter's preferred template format, using AI that already has context from the transcript, CV, and job description, reducing editing time by 50–80%.
Target Audience
Primary users are recruiters and HR professionals who conduct interviews and produce candidate evaluations, including in-house and agency recruiting teams using ATS platforms like Bullhorn, Greenhouse, Lever, and Workable.
Features
- Live, bot-free transcription in real time and in any language, based on closed captions for online meetings or microphone audio for in-person and phone conversations
- Dedicated interview-specific chat built on conversation facts, enabling quick verification of details without hallucination risk
- Session guide templates (premade or custom) that keep job descriptions, CVs, and notes in one place for full interview context
- Structured report generation from transcripts, notes, CV, and JD, with customizable templates for short summaries or detailed reports
- CV anonymization (blinding) step that automatically detects and removes personal identifiers before AI processing
- Local storage of finished reports on the user's device, with no server-side retention of transcript or CV content
- Speaker names never reach the AI: transcripts sent for processing carry roles only ("Recruiter" and "Candidate"), and transcription can be stopped, edited, or deleted before sending
- Reports generated immediately after the interview, with one case study showing ATS note updates reduced from ~20 minutes to 5–10 minutes