Vidhra

Find your path. Shape your future.

Why Vidhra exists

Finding meaningful work should be transparent. Today there is a power asymmetry in the job market, and AI can make that gap even wider. Vidhra is built to return the power of choosing a job to the user, while helping people find others who want to create impactful projects together.

Have full control over your applications, your profile story, and your professional direction.

Vidhra is also a bridge between retired professionals and people entering the job market. It supports mentorship and a professional community that stays valuable even after your next role. Your career companion follows you through a future where career shifts happen faster than ever.

Mentors

Job Seekers

Community

Collaborators

Connections

Partners

Industry Experts

The Three Pillars

Make meaningful work transparent and put the power of choosing back in your hands.

Vidhra starts with three things from day one: personal development through conversation, a stronger mentor network than traditional platforms, and matchmaking around real projects.

Pillar 01

Personal Development Through Conversation

Find your values, goals, and strengths through guided conversations and targeted exercises. Insights are extracted to inform your CV portfolio, which is continuously updated to attract employers.

Pillar 02

Mentor and Professional Network

Build a network of mentors and professionals that goes deeper than LinkedIn, with long-term community and practical support.

Pillar 03

Project Matchmaking for Job Seekers

Get matched with other job seekers to build meaningful projects together and create momentum employers can see.

Backed by scientific research

Explore the research

AI-Scaffolded Coaching & Personal Development

AI-Scaffolded Coaching & Personal Development

Huang et al. (2025) — "AI That Helps Us Help Each Other: A Proactive System for Scaffolding Mentor-Novice Collaboration..." Validates the idea of AI that scaffolds human-human collaboration rather than replacing it. Their design principle of "augmenting, not replacing" human interaction mirrors Vidhra's philosophy.

AI Team Formation with Complementary Skills

AI Team Formation with Complementary Skills

Moroni et al. (2024) — "Optimizing Startup Team Composition: A Generative AI and Genetic Algorithm Approach" — Uses generative AI to form teams that maximize skill variety and compatibility. This is essentially what Vidhra does: matching compatible profiles together.

Computational Team Formation Balancing Diversity

Computational Team Formation Balancing Diversity

Santos et al. (2022) — "In Search of Diverse and Connected Teams" — Proposes algorithms forming teams mixing attribute diversity with social connections. Validates computational approaches superseding manual assembly — supporting Vidhra's matching engine.

Deep User Profiling for Career Guidance

Deep User Profiling for Career Guidance

José-García et al. (2023) — "C3-IoC: A Career Guidance System..." — Builds deep user skill profiles combining technical/non-technical skills. Supports Vidhra's approach of creating "deep user knowledge" outputs from raw profile data.

Complementary Skills in Team Selection

Complementary Skills in Team Selection

Güth et al. (2025) — "Organizing a Great Team with Complementary Skills" — Formalizes team selection as a mathematical optimization problem. Provides theoretical grounding for why matching complementary profiles (as Vidhra does) leads to better outcomes.

AI for Holistic Career Navigation

AI for Holistic Career Navigation

Westman et al. — "Artificial Intelligence for Career Guidance" — Found that holistic learner profiles (exactly what Vidhra builds) extending beyond education into personal interests and informal learning are essential for effective AI guidance.

NLP-Driven Resume-to-Career Matching

NLP-Driven Resume-to-Career Matching

Gropengießer et al. (2025) — "CareerBERT: Matching Resumes to ESCO Jobs" — Uses NLP embeddings mapping unstructured resume text to job domains, supporting Vidhra's goal of surfacing non-obvious career paths beyond conventional keyword searches.

Smart Mentorship Agents

Smart Mentorship Agents

Abhari et al. (2021) — "Smart Entrepreneurial Systems: An Application of RL" — Proposes a mentorship agent providing personalized adaptive learning. Proves AI can function as an evolving personal development tool conforming to user needs.

Fair Team Formation in Labor Markets

Fair Team Formation in Labor Markets

Lamy et al. (2020) — "Algorithms for Fair Team Formation..." — Addresses forming teams with complementary skills ensuring fairness. Directly bolsters Vidhra's collaborative (vs. competitive) approach framing team assembly as a fairness problem.

Hybrid Job Recommendation

Hybrid Job Recommendation

Boudad et al. (2024) — "Toward an Approach for Job Recommender System" — Proposes recommendations combining filtering to treat cold-starts and evolving preferences—challenges Vidhra actively solves matching job seekers horizontally.

Join the Vidhra waiting list

Vidhra is opening access in focused waves. Join the list to get early access, product updates, and onboarding support.