What if technology could make career decisions clearer, more personalised and more achievable?
Aakash Dave, founder and CEO of AarikaAI (formerly SenseforgeAI), is building an AI venture focused on transforming the way learners, job seekers and professionals navigate their careers.
The Career Operating System
AarikaAI is building an AI-powered career operating system designed to support individuals across every stage of their professional journey: from AI-powered career guidance and skill-gap analysis to exam and interview preparation, job matching and career development.
The platform aims to bring greater clarity and personalisation to career planning while helping people discover, prepare, connect and grow.
The Problem It Solves
Career planning in India remains largely unstructured. Most students and early-career professionals rely on informal advice from family, friends or generic online searches. The result is a mismatch — people ending up in roles that do not align with their skills, interests or long-term goals, and employers struggling to find candidates who are genuinely prepared.
AarikaAI aims to close that gap by using artificial intelligence to map individual strengths, identify skill gaps, recommend learning paths and match candidates with opportunities that fit. The platform treats career development not as a one-time decision but as an ongoing process that evolves with the individual.
The Vision
At the heart of the venture is Dave's vision of using artificial intelligence to make career opportunities more accessible and career decisions more informed. His journey reflects the mindset of a modern entrepreneur: identifying a real-world challenge, embracing technology and building toward a solution with the potential to impact millions.
From an idea to an AI-powered vision, the journey has only just begun.
The career technology space is growing rapidly, but most solutions still operate in silos — a resume builder here, a job board there, a skills assessment somewhere else. AarikaAI's ambition is to bring these fragmented pieces into a single, intelligent system that learns and evolves with the user. Whether it succeeds at that scale remains to be seen, but the problem it is trying to solve is real, widespread and increasingly urgent.