GigFlick is an AI‑driven career assistant that ingests a user’s resume, skill inventory, and education history, cross‑references them with live labor‑market data, and surfaces high‑fit roles and emerging skill gaps. It delivers personalized, multimodal action plans—via voice, text, or video—that adapt to user feedback and include bias‑aware, benchmarked recommendations. The platform also provides resume analytics, scoring, and secure API integration for HR tech and corporate learning systems.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many job seekers and career changers struggle to translate their skills and experience into actionable career pathways because existing tools provide static job listings, generic advice, and limited interaction modes, leading to inefficient job searches and missed opportunities.
Solution
GigFlick delivers a multimodal conversational career assistant that combines agentic AI with supervised and unsupervised machine‑learning models to generate data‑driven career insights. The platform ingests a user’s resume, skill inventory, and education history, then cross‑references this profile with real‑time labor‑market datasets to surface high‑fit roles and emerging skill gaps. Through voice, text, or video interactions, the agent proactively recommends next steps—such as targeted skill acquisition, networking actions, or interview preparation—while continuously refining its guidance as the user progresses. All recommendations are bias‑aware and validated against industry benchmarks, enabling users to make precise, timely career moves without needing a human coach.
Target Audience
The primary users are individual professionals—early‑career graduates, mid‑level employees, and career switchers—who seek data‑backed, personalized guidance, as well as HR tech providers and corporate learning & development teams looking to embed AI‑driven career coaching into their talent platforms.
Features
- Dynamic skill‑to‑role mapping engine that scores user profiles against live job market data and high‑growth occupational trends.
- Agentic AI planning module that autonomously generates personalized action plans (skill courses, networking targets, interview drills) and updates them based on user feedback.
- Multimodal interaction layer supporting real‑time voice, text, and video conversations, with speech‑to‑text transcription and contextual intent recognition.
- Resume analytics and scoring tool that benchmarks formatting, keyword relevance, and impact metrics against recruiter expectations.
- Continuous learning loop that retrains recommendation models on each user interaction, improving prediction accuracy over time.
- Ethical AI safeguards, including bias detection dashboards and explainable‑AI outputs to ensure transparent career guidance.
- Secure API endpoints for integration with ATS, LMS, or corporate talent platforms, enabling enterprise deployment and data synchronization.