Every design decision maps to peer-reviewed research. Not because it sounds good in marketing—because it's what actually drives performance.
Four principles that guide every product decision.
Beyond human-in-the-loop to real collaboration
AI enhances expertise while respecting human judgment. Val doesn't replace your thinking—it amplifies it, surfacing insights and drafting suggestions that you refine and own.
Daily workflows become learning opportunities
Every goal conversation, every feedback exchange, every reflection becomes a development moment. Assessment and skill-building integrated throughout work, not separated from it.
Creating proprietary organizational intelligence
The system improves continuously from human interactions, corrections, and validations. Your team's expertise becomes embedded organizational knowledge.
Audit-ready from day one, without the paperwork
Every decision is captured with complete audit trails as you work. When auditors call, you're already prepared.
Five findings that changed how we think about performance management.
Kluger & DeNisi, 1996
One-third of feedback interventions backfire. That's why Valutare focuses on feed-forward—future-oriented, task-focused guidance.
Boswell & Boudreau, 2002
When they're combined, development suffers. My Growth is architecturally separated from reviews.
Edmondson, 1999
People won't take learning risks unless they feel safe. Private development space changes everything.
Smith & Kendall, 1963
Defining what success looks like before work begins reduces bias. CLEAR goals build on this principle.
Deloitte, 2015
Frequent, lightweight check-ins drive better outcomes than annual review cycles.
Two PhDs who spent their careers studying how people actually learn and perform—then built what the research shows works.
CEO & Co-Founder
PhD, Educational Psychology
Author of The AI Amplification Effect. Two decades at the intersection of behavioral science, learning, and technology. Former professor at USC, CEO of Motimatic (10x revenue growth). 100+ academic publications on how people learn, adapt, and perform.
LinkedIn
CTO/CAIO & Co-Founder
PhD, Physics (Stanford)
Two decades of technical leadership in AI/ML systems across autonomous driving, telecommunications, and data security. Strategic advisor to PE-backed firms on AI transformation. Translates theoretical physics rigor into enterprise-grade systems.
LinkedInWe'd love to show you how these principles translate into a platform your team will actually use.
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