Lola is an AI‑driven career coaching platform that automates talent assessments, generates personalized CVs, cover letters, and interview simulations, and matches candidates to open positions using a proprietary “career DNA” algorithm. The solution provides a GDPR‑compliant, API‑integrated dashboard for coaches, outplacement providers, and HR teams to scale personalized guidance while maintaining data privacy.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations rely on manual, generic intake interviews and assessments for career coaching, outplacement, and reintegration, which consume significant time and often fail to provide candidates with tailored insights into their strengths, interests, and suitable job opportunities. This inefficiency leads to slower candidate readiness, lower engagement, and suboptimal job matches.
Solution
Lola, HuskyAI’s AI‑driven career coaching platform, automates the initial assessment phase by using large‑language models to analyze candidate inputs and generate a detailed talent profile. The platform matches candidates to open positions based on a proprietary “career DNA” algorithm that aligns personal strengths and aspirations with market opportunities. Lola also produces AI‑crafted CVs, cover letters, and interview simulations that deliver real‑time, personalized feedback, accelerating the preparation process. All interactions are hosted on a GDPR‑compliant infrastructure with regular Data Protection Impact Assessments, ensuring privacy while freeing coaches to focus on high‑value human guidance. The solution integrates with existing coaching, outplacement, and reintegration workflows through APIs and a web dashboard, enabling scalable, data‑driven talent development.
Target Audience
The primary users are professional career coaches, outplacement service providers, and reintegration specialists within corporate HR departments or staffing agencies that need to scale personalized guidance while maintaining data privacy.
Features
- AI‑powered talent assessment that extracts skills, interests, and career preferences from free‑text inputs and questionnaire responses
- Dynamic “career DNA” matching engine that ranks open vacancies against the candidate’s profile using large‑language model embeddings
- Automated generation of CVs, cover letters, and LinkedIn summaries tailored to each job match, with version control and export options
- Interactive interview practice module that simulates common questions, records responses, and provides AI‑driven feedback on content, tone, and structure
- Secure, GDPR‑first data handling with end‑to‑end encryption, regular DPIAs, and role‑based access controls
- Web‑based analytics dashboard for coaches to monitor candidate progress, engagement metrics, and match success rates
- RESTful API and SSO integration for seamless embedding into existing HRIS, LMS, or talent‑management platforms