A career decision platform that turns a static CV into a living career map. Then uses AI to score fit, surface hidden strengths, and tell you exactly which next step is yours.
Most professionals manage their careers reactively. They update a CV when they need a new job, apply to roles without understanding their real positioning, and have no idea whether they are aiming too low, too high, or at the wrong targets entirely.
The decisions that matter most. When to move, where to aim, what to learn next. Get made on intuition. CVs sit static. Strengths go unsurfaced. Rejection patterns repeat invisibly.
CareerOS replaces guesswork with structured intelligence. A career is a graph, not a document.
Upload a PDF or DOCX. AI extracts and structures experience, skills, education, certifications. Then reconstructs the narrative: trajectory, seniority band, industry positioning, the strengths that aren't obvious from the raw text.
The Orbit is a visual career map: skills, roles, and adjacencies clustered by domain. Four lenses overlay it. Current profile, ideal archetypes, top-performer benchmarks, and ghost jobs (live open roles that match your trajectory).
Paste a job description. Get multi-dimensional fit analysis. Skills, experience depth, education alignment, geography. An overall score, a clear apply / maybe / don't-apply call, and better-fitting alternatives if the match is weak.
A conversational AI grounded in your reconstructed career. "Position me for Head of Product." "Why have I been rejected from five similar roles?" Conversations persist; insight compounds.
Role-specific CVs, optimised cover letters, LinkedIn summaries. Generated from the structured profile, not invented. Every application leaves the platform faster than it would have left a blank page.
Mobile-first, warm aesthetic on the outside. Cream backgrounds, teal accents, rounded surfaces. The Orbit interface stays in a distinctive dark-mode language so the career map reads as its own product space.
Dark-mode career map with colour-coded evidence nodes and source tags (CV · LinkedIn · GitHub · portfolio). Four lenses overlay live.
Multi-dimensional scoring across skills, experience depth, education, and geography. Apply / maybe / don't, with reasoning.
Context-aware conversational AI grounded in the reconstructed profile. Threads persist; insights compound.
Role-specific CVs, cover letters, LinkedIn summaries. Generated from verified profile data, not invented from prompts.
A reconstructed career graph + a scoring engine + a context-aware advisor is not specific to job-seekers. The pattern applies to any workforce decision that's currently made on intuition.
"A career is a graph, not a document. Walk into every application with confidence backed by intelligence."Product principle · CareerOS