Next-Gen Psychometrics for Risk Prediction in Insurance

Predict & reduce risk with greater precision than ever, using an all new, validated risk layer. 

Insurance: Risk isn’t just in history. It stems from how people think, which makes it predictable. 

One Test. One Flag. Reduce Risk. Accelerate Growth.

Ambitionprofile's psychometric platform combines adaptive testing, cognitive science, and explainable AI to predict outcomes in underwriting, fraud, and prevention. 
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Insurance Risk Intelligence

Risk isn’t just in history. It stems from how people think, which makes it predictable. 
 

Our adaptive psychometric assessment provides insurers with real-time behavioral risk profiles—immediately, even for new drivers, first-time policyholders, or cold-start populations. It’s explainable, manipulation-resistant, and proven to predict claims, adherence, and fraud tendencies.

Use Cases

  • Psychometrically Enhanced Underwriting
    Enhance traditional models with cognitive and behavioral risk insights — ideal for underwriting in worker’s comp, disability, and group health.
  • Improved Fraud & Claim Exaggeration Detection
    Spot traits linked to opportunism, impulsivity, and low integrity to flag soft fraud risk early in the claims process.
  • Burnout & Sick Leave Prevention
    Prevent absenteeism and mental health-related claims before they happen using validated stress and resilience indicators.
  • Captive Insurance Support
    Equip captive insurers with advanced behavioral data for better underwriting, internal pricing, and reinsurance positioning.

What Makes It Work

  • An all new risk layer
  • Next-gen psychometrics spots patterns beyond traditional psychometrics
  • Cold-start scoring without prior claims data
  • Does not collect data considered personally sensitive
  • Explainable from the first test

The Next Frontier in Risk Intelligence: AI Meets the Mind

With two decades of hands-on field work and research, our founder Jens Näsström has focused on what traditional psychometrics overlooked: the dynamic, situational thought patterns that predict risk and performance — patterns that evolve, escape static models, and can be assessed without provocation or bias.

By designing next-generation psychometric tools — short, precise, and difficult to game by humans or AI — we've built scalable systems to assess real mental drivers behind burnout, decision-making, and resilience. This work is only now possible with the advent of applied AI.

Our Team

Magnus Sundqvist

Magnus Sundqvist