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Choose AI you can trust.

Trust means two things: that the AI performs for your specific needs, and that it’s fair, explainable, and compliant by design. At Phenom, both are infrastructure, not an afterthought.

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An unexplainable decision is a business liability.

A poor recommendation from AI is bad. One nobody can explain is worse: no defense, no audit trail, no way to show the business followed its own policy. Add the cost of a mis-hire or a stalled rollout, and unexplainable AI is a revenue and compliance risk, not an HR question.

Three ways to judge AI by what it does, not what it claims.

A hiring recommendation needs defense

A hiring recommendation is either defensible or it isn't. Every Phenom recommendation carries the specific skills, experience, and criteria behind it, applied consistently within a role, with a recruiter reviewing what the model recommends, not the other way around.


Every score, traceable Follow a ranking back to the exact criteria behind it.


Same bar, across every path in Applicants, referrals, and sourced candidates, judged alike.


The final call stays human The model ranks, a person decides.


Phenom's AI-powered Dynamic Fit Score ranks candidates by distance, experience, job title match, and required skills — grading each profile A, B, or C so recruiters can instantly identify and prioritize the strongest matches for every open role.

Governance that's been audited

Responsible AI isn't a policy Phenom wrote once. Governance is built into training and every agent added since, on frameworks from the World Economic Forum, NIST, and OECD. In 2026, an audit found no evidence of algorithmic bias in the Phenom model by race or ethnicity.


Not self-graded Bias risk checked through independent audits, not internal review.


2026 published bias audit No evidence of bias by race or ethnicity, checked and shared.


New agent, same rules Governance doesn't reset with every addition.


Screenshot 2026-09-11 at 1.18.43 AM

Built specific, not generic

A model that performs well elsewhere can still miss what your industry needs. Phenom maps every role and workflow through an industry ontology, so recommendations build trust through relevancy to the user’s business needs.


Context, not guesswork. Ontology encodes what your industry and role actually require.


Same role, different market. AI has to react differently to talent shortage and surplus.


Proven before it is live. A two-day Bootcamp tests the model against your data first.


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Explainability and control, built in not bolted on

The reasoning behind a ranking, the controls that keep a person in the final decision, and the trail an auditor asks for all run through the same infrastructure, so what you can explain in one decision, you can explain in all of them.

  • AI Infrastructure

    Phenom X+ Ontologies gives every agent a clear definition of a skill, a role, and a requirement, so a recommendation can be explained in the same terms wherever it was made, and a ranking that has to be defended traces back to criteria your team can read, not to a model's guess.

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  • Integrations

    Phenom connects to your ATS and HRIS in both directions, so a decision made in Phenom reaches the system of record without being re-keyed, and the trail behind it stays in Phenom, under controls your team sets.

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  • Security & Trust

    Phenom holds SOC 2 Type II certification and is GDPR compliant, with candidate data encrypted in transit and at rest. Every action, by a recruiter or an agent, is logged with who, when, and from where, so when a decision is challenged, the defense is already written.

    Learn more

Explore how you can take the next step.

Learn more about our approach to building, developing, and applying AI to the dynamics of your business.

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