Reppls is a highly customizable AI interview platform for corporate recruiting, with the core goal of evaluating candidates according to company standards and requirements rather than providing generic interviews. Its proprietary interview engine is built for hiring scenarios: interviews are real-time and adaptive, and the AI asks further follow-up questions based on each candidate response.
Key Capabilities The platform emphasizes scoring according to company skill matrices: questions and scoring follow the enterprise's skill matrix, standards, and job level system, thereby ensuring the same standard is applied across candidates, teams, and regions. The platform is designed to adapt to rather than replace existing hiring processes, preserving the enterprise's own stages, standards, and decision points.
Interview Types Each interview ultimately generates a scored report with transcript evidence.
- AI-assisted interview: Rather than having AI conduct the interview directly, a real recruiter conducts the call, with 10xRecruiter assisting on the side. It listens to the conversation, suggests questions and follow-ups, and evaluates while the candidate answers. For the candidate, it is just an ordinary call with a recruiter, requires no setup, has no bot in the meeting, runs from the desktop, and generates a shareable report with timestamped evidence.
- AI screening interview: Used for initial screening for technical and non-technical roles. This is a voluntary interview that lets candidates who want to stand out in their application share information beyond their resume. Questions are customized for each interview and built based on the gaps between the resume and the job requirements, in order to precisely bridge those gaps. All candidates who choose to participate receive a structured profile and can be compared side by side. Official materials show an average candidate experience rating of 4.3/5, support for 19 languages, and coverage of roles ranging from junior to manager.
- Technical assessment: For technical roles, it interviews around 2-3 topics to assess hard skills and probes depth through follow-up questions. Without requiring an engineer to join the call, it produces results scored by skill with transcript evidence. It can use the enterprise's own or automatically generated questions, uses follow-ups to examine real depth rather than recited answers, and provides a score for each skill and the full transcript.
- Skill matrix assessment: For technical roles, it provides in-depth assessment based on the company skill matrix. The bot covers every competency defined by the matrix and returns graded results according to the same matrix. It can adjust questions in real time based on candidate performance, score according to the company's job level system, and support review of results by human experts. Materials give examples showing that it can adapt to each role's matrix in an enterprise and output reports according to the company's own grading such as junior/intermediate/senior/principal, and the relevant data can also be accessed from Claude via MCP.
- Sales negotiation simulation: For sales roles from SDR to account executive, the bot plays the buyer in a deal scenario customized to the enterprise's product and market. It can provide scored reports on needs discovery,objection handling, and closing, with quotes from the conversation. It provides realistic buyer personas and objections, scores needs discovery, objection handling, and closing, and supports sharing recordings and reports.
Compliance Design The platform complies with GDPR and the EU AI Act: candidates are clearly informed and provide consent before the interview, and assessments remain transparent and subject to human review. It supports GDPR-compliant data processing, alignment with EU AI Act requirements, explainable scoring, and final human decision-making.
Plans and Limitations Materials show that it provides AI interview-related features, four interview types, unlimited number of roles, public links and candidate-specific invitations, report and recording sharing, and MCP access for AI workflows. The price is $50 per assessment seat per month, including multi-recruiter workspaces, team permissions and billing access, and GDPR and EU AI Act safeguards. More specific information such as billing rules, refund policy, free trial, deployment method, and integration list is not yet provided in the materials.
