Real TQ assessments generated from publicly available CVs and portfolios. These demonstrate the depth of insight Heimdall provides across different profile types.
These are genuine Heimdall assessments as you would receive them. Only exception is anonymizing the few most obvious identifiers for non-public figures.
Dr. Percy Liang
Stanford Professor, AI Researcher, Founder TQ: 450 | Validated TQ: 320
Leading researcher in AI evaluation with extensive academic and industry impact.
Demonstrates how Heimdall evaluates established thought leaders with deep domain expertise.
This assessment is from just a CV. More material could increase validation ratio, and demonstrate greater depth in some dimensions, but even from a CV alone, Heimdall provides deep assessment.
Polymath Innovator
TQ: 334 | Validated TQ: 204
Polymath profile combining behavioral psychology, quantitative modeling, systems design, business strategy and AI. Proven pattern of breakthrough results through cross-domain synthesis.
- Heimdall identifies the value despite unusual paths and combinations.
- Significant discovery edge (low visibility to standard recruitment) from unusual background, industries and geography.
- Potential in extreme ranges, but validation still much lower than field-leading researcher.
- This profile has extensive portfolio material:
- As with human reviewers: Doesn’t change scoring but gives profile opportunity to demonstrate and validate broader range of ability
- Demonstrates how 'Portfolio Intelligence' helps navigate insights.
Emerging Talent
TQ: 153 | Validated TQ: 69
AI safety researcher, recently pivoted from cybersecurity engineer. Already demonstrating cross-domain synthesis and competitive validation.
Discovery advantage:
- ~6 months into AI safety pivot, already TQ 153
- Transformers who deliver on potential raise their TQ as abilities and portfolio grow
- Heimdall observes high potential but still limited validation.
- Cross-domain transfer: enterprise security → AI red-teaming
- Outside normal talent networks: Independent researcher, New Zealand-based
Solid Junior Talent (Pass Result)
TQ: 79 | Validated TQ: 22
Pre-graduation AI student with multiple deployed projects and solid execution. Good junior talent appropriate for standard hiring pipelines, but not exceptional enough for priority discovery.
Notice calibration:
- Heimdall identifies impressive pre-graduation talent (TQ79).
- TQ 0 is a capable professional. Anything above 50 is a strong performer.
- This is a stronger score than many reliable engineers with 10+ years of experience who execute competently but don't innovate.
- Heimdall maps out the profile’s strengths and potential value. Finds there could be value, but it doesn’t yet meet threshold for priority discovery and belongs in standard hiring pipelines.
You can configure your own TQ thresholds. We recommend TQ 100 for high-end tech companies and TQ 150 for the few most attractive companies for world-class talent.
Policy-Technical Bridge Builder
TQ: 217 | Validated TQ: 104
PhD bridging AI, policy, and institutional adoption. Shapes institutional impact in developing countries by combining technical insight with extensive government relationships.
Heimdall’s notes on differentiating value:
“Most AI policy researchers either lack technical depth or lack implementation experience. Most AI practitioners can't effectively communicate to non-technical stakeholders. [Candidate] has demonstrated both, validated through repeated institutional engagement. This bridging profile would be difficult to replicate through standard hiring channels.”
All assessments generated from publicly available CVs. These are genuine Heimdall assessments as you would receive them. Anonymized profiles have names and direct links removed to keep focus on the content.