Career data is fragmented across LinkedIn, resumes, portfolios, and platforms. AI screeners parse this data but miss real signal — treating keywords as proxies for competence, and penalising candidates whose careers don't fit a rigid template.
A narrative engine that structures and amplifies a candidate's true story. ACNVE™ turns scattered career signals into a coherent, structured profile that AI systems read correctly — surfacing real capability instead of keyword matches.
Turn scattered career data — roles, projects, skills, contributions — into a structured, machine-readable graph.
Generate coherent, role-tuned narratives from the career graph. Each output is specific to the opportunity.
Profiles formatted so AI screeners actually parse them correctly — no signal lost in translation.
Audience: Workforce platforms, recruiters, talent marketplaces
Embed narrative intelligence into hiring products to surface better candidates, faster.
Replace keyword matching with signal matching — see real competence instead of resume noise.
Match on substance, not just job titles. ACNVE™ makes the hidden signal visible.
Talk to our team to see how this fits your organization.
