Fast
Job posting and candidate evaluation complete in seconds.
AI-Hiring Assistant | BGTS
A comprehensive HR platform that analyzes candidate CVs, job postings, and interviews with AI — letting you manage the entire hiring process from one screen. It removes manual pre-screening burden and presents candidate–job fit as measurable scores.
A fast, objective, and data-driven next-generation recruitment experience.
Job posting and candidate evaluation complete in seconds.
Consistent, transparent scoring free from personal bias.
Language, technical competence, and experience fit delivered as measurable metrics.
Candidate pool, postings, interviews, and smart assistant on one platform.
Manual processes waste time and budget while candidate–job fit stays unmeasurable. AI Hiring Assistant targets each of these deadlocks.
Manual screening of hundreds of CVs.
Inability to measure candidate–job match.
Failure to accurately assess technical, language, and experience levels.
Inability to effectively evaluate video recordings.
Delayed processes negatively impacting hiring.
Waste of time and budget from prolonged cycles.
From job posting and candidate pool intake to the AI that manages the entire process; from there to scoring, interview support, and smart chat — the full chain managed on one platform.
Created manually or with AI; title, description, and requirements ready in seconds from a URL or file.
Resumes are uploaded to the system; skills, experience, and education fields parsed automatically.
The AI that manages the entire process — orchestrating scoring, interview support, and smart chat.
CV–job matching: two-way, measurable, and transparent percentage fit scores.
Question and video analysis: dynamic question generation aligned with job and candidate, transcripts, and evaluation.
Natural language search: explore the candidate pool with questions and get in-depth analysis via chatbot.
Analyze candidate CVs, job postings, and interviews with artificial intelligence.
Real-time status tracking with metrics; candidate pool, interviews, and postings in one hub.
Upload a URL or file; title, description, and requirements filled in seconds.
Language, technical competence, and experience fit shown as measurable percentages.
Best jobs for a candidate profile; best candidates ranked by score in job detail.
Ask AI for candidate summary, strengths, and weaknesses; speed up decision-making.
Generate questions 100% aligned with the job and candidate, based on defined criteria (e.g. technical competence, experience, foreign language, etc.).
Questions and answers automatically extracted from Teams or other platform video recordings.
Skip complex filter menus — tell the smart assistant: 'List developers who know Java'.
Problem: Hours of manual job writing; inconsistent requirement definitions.
Flow: Upload a URL or file; AI instantly fills title, description, requirements, and skill tags.
Outcome: Before: hours of job writing → After: content ready in 3 seconds.
Problem: Candidate–job fit is unmeasurable; 'why suitable?' goes unanswered.
Flow: % scores across language, technical competence, and experience; mandatory skill matches and gaps tagged.
Outcome: Comparable, transparent scoring for fast pre-screening decisions.
Problem: Burden of reading hundreds of CVs; inability to quickly summarize strengths and weaknesses.
Flow: Open a candidate profile, ask the AI assistant 'Position fit' or 'Which criteria is he weak in?'
Outcome: Candidate summary and strengths list in seconds; faster decision-making.
Problem: Hours of video watching; manual note-taking of questions asked and answers given.
Flow: Upload a video recording; AI auto-detects questions and extracts answers from the transcript.
Outcome: End-to-end video searching ends; evaluation time minimized.