The intelligence layer behind the system
A domain-aware foundation that keeps hiring consistent across roles and stages.
Why one-size-fits-all hiring fails
Generic pipelines treat every role the same. But hiring is context-dependent.
Roles change
A junior developer needs different evaluation than a senior product manager. Role expectations vary widely.
Skills evolve
Technology moves fast. New tools emerge. Skills that mattered last year may be outdated today.
Signals differ by domain
What indicates competence in engineering is different from sales or design. Context matters.
A domain-aware foundation
Our intelligence layer understands how work is structured, not just the keywords used to describe it.
- 1
Domains → Subdomains → Skills → Tools
Hierarchical understanding of how expertise is organized.
- 2
Behavioral competencies and expectations
What good looks like at each level, beyond technical skills.
- 3
Relationships between skills
Dependencies and overlaps that inform smarter evaluation.
Software Engineering
Frontend Development
Recommendations
Inferred from your role description. Review and approve the baseline.
Personality Traits
Subskills
Depends on: Operating Systems
Role-aware recommendations, human-controlled
The system infers domains, skills, tools, and personality traits from your role description. You decide what stays, what goes, and what's missing.
- 🎯Role-aware recommendations: domains, skills, tools, and role-fit traits
- 👤Human-in-control: accept, reject, or add anything before finalizing
- ↻Stays current: recommendations evolve as tools and expectations change
- 🔗One baseline, many stages: drives assessments, interviews, and scoring
One intelligence layer, every stage
The same domain understanding powers every step of the hiring process.
Job Creation
Assessment Selection
HR Interview Guidance
Domain Interviews
Decisions